Relevant bibliographies by topics / Revealed and stated preference methods

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Revealed and stated preference methods'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Revealed and stated preference methods"

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Adamowicz, W., J. Louviere, and M. Williams. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities." Journal of Environmental Economics and Management 26, no. 3 (1994): 271–92. http://dx.doi.org/10.1006/jeem.1994.1017.

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Haipeng, Zhang, and Xie Xuxuan. "Combining Stated Preference and Revealed Preference Methods for the Valuation of Non-market Goods." Chinese Journal of Population Resources and Environment 10, no. 4 (2012): 121–26. http://dx.doi.org/10.1080/10042857.2012.10685119.

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Hasanzadeh, Kamyar, Marketta Kyttä, and Greg Brown. "Beyond Housing Preferences: Urban Structure and Actualisation of Residential Area Preferences." Urban Science 3, no. 1 (2019): 21. http://dx.doi.org/10.3390/urbansci3010021.

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The concept of residential housing preferences has been studied across multiple disciplines, with extensive literature supporting both stated and revealed preference methods. This study argues that both preference types, stated and revealed, should be assessed concurrently to achieve a more comprehensive understanding of residential housing choices. To provide evidence, this research used findings from a public participation GIS survey that identified the stated housing preferences associated with three categories of urban residents, which were called urban “tribes”. We implemented an analytical framework using fuzzy modelling to relate stated preferences with revealed preferences for the same individuals using empirical data describing the urban structure in Tampere, Finland. Following an analysis of the relationships between residents’ revealed preferences and urban structural variables, we examined the consistency of stated housing preferences with revealed preferences. The results show considerable mismatch between the stated and revealed preferences for the urban tribes that were examined i.e., the preferred housing environment was significantly different from the actual living environment. Further, the stated preferences showed disequilibrium within the current structure of the housing supply in Tampere. The findings can have important implications for housing policy making in Tampere. Further, the use of a novel fuzzy model approach demonstrated a flexible and tolerant method for working with imprecise and variable social data to capture subtle differences. Finally, this study elaborately discusses the remaining limitations and suggests how they should be addressed in future research.
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Rengarasu, T. M., and J. A. S. Dulanga. "Stated and Revealed Preferences Towards Bus Transport in Sri Lanka." Journal of South Asian Logistics and Transport 4, no. 2 (2024): 85–107. http://dx.doi.org/10.4038/jsalt.v4i2.94.

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This study aims to identify the attributes of public transportation buses (PTB) preferred by passengers, which will be perceived as the buses’ quality of service. PTB of Sri Lanka faces several issues impacting its quality, efficiency, and modal share. Understanding user perceptions is essential to enhancing service quality and addressing the challenges that deter bus usage. Thirteen shortlisted attributes were rated by 84 (61 Male and 23 Female) respondents, and the top five attributes were selected. The study gathered user preferences towards PTB using Stated Preference (SP) and Revealed Preference (RP) methods for the five chosen attributes. RP data were modelled using a multiple linear regression model with R language. The data set comprised 192 (127 Male and 65 Female) valid responses. SP data showed that the respondents favoured medium-speed buses (51.2%) that were clean and reliable. Time of arrival was the most crucial attribute (30.3%), followed by vehicle condition (24.3%). Segment analysis revealed that gender and vehicle ownership significantly impacted preferences. Both gender and vehicle ownership segments prioritised arrival time and least valued seat comfort. The study emphasises the importance of prioritising punctuality over comfort. The findings of this study could provide valuable insights for policymakers to design more user-centric strategies, potentially enhancing the efficiency and attractiveness of bus services in Sri Lanka.
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Ferrini, S., and C. Fezzi. "Generalized Additive Models for Nonmarket Valuation via Revealed or Stated Preference Methods." Land Economics 88, no. 4 (2012): 782–802. http://dx.doi.org/10.3368/le.88.4.782.

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Earnhart, Dietrich. "Combining Revealed and Stated Preference Methods to Value Environmental Amenities at Residential Locations." Land Economics 77, no. 1 (2001): 12–29. http://dx.doi.org/10.2307/3146977.

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Chu, Xuehao. "Reality-Based Approach to Stated Preference Surveys." Transportation Research Record: Journal of the Transportation Research Board 1917, no. 1 (2005): 72–79. http://dx.doi.org/10.1177/0361198105191700109.

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This paper defines a reality-based approach to soliciting stated preference data. It is related to existing preference methods in regard to both a common conceptual framework and recent trends in the literature. The reality-based approach is compared with the standard approach in both general characteristics and design procedures. Its expectations-based validity is illustrated with an application to pedestrian street-crossing behavior in the Tampa Bay area of Florida. The approach combines the realism of revealed-preference surveys and the flexibility of standard stated preference surveys. It adds to the toolbox of travel behavior research.
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DOLAN, PAUL, ROBERT METCALFE, VICKI MUNRO, and MICHAEL C. CHRISTENSEN. "Valuing lives and life years: anomalies, implications, and an alternative." Health Economics, Policy and Law 3, no. 3 (2008): 277–300. http://dx.doi.org/10.1017/s1744133108004507.

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AbstractMany government interventions seek to reduce the risk of death. The value of preventing a fatality (VPF) is the monetary amount associated with each statistical death that an intervention can be expected to prevent. The VPF has been estimated using a preference-based approach, either by observing market behaviour (revealed preferences) or by asking hypothetical questions that seek to replicate the market (stated preferences). The VPF has been shown to differ across and within these methods. In theory, the VPF should vary according to factors such as baseline and background risk, but, in practice, the estimates vary more by theoretically irrelevant factors, such as the starting point in stated preference studies. This variation makes it difficult to choose one unique VPF. The theoretically irrelevant factors also affect the estimates of the monetary value of a statistical life year and the value of a quality-adjusted life year. In light of such problems, it may be fruitful to focus more research efforts on generating the VPF using an approach based on the subjective well-being associated with different states of the world.
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Yoo, Kwang Eui, and Norman Ashford. "An application of a comparative analysis of revealed preference and stated preference methods to the air transport choice problem." Transportation Planning and Technology 21, no. 4 (1998): 287–307. http://dx.doi.org/10.1080/03081069808717613.

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Kolarova, Viktoriya, Felix Steck, Rita Cyganski, and Stefan Trommer. "Estimation of the value of time for automated driving using revealed and stated preference methods." Transportation Research Procedia 31 (2018): 35–46. http://dx.doi.org/10.1016/j.trpro.2018.09.044.

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Dissertations / Theses on the topic "Revealed and stated preference methods"

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Yoo, Kwang E. "A study of Korean air passengers' choice behaviour, utilising revealed preference and stated preference methods." Thesis, Loughborough University, 1995. https://dspace.lboro.ac.uk/2134/12610.

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Air travellers' choice behaviour is fundamental to air transport system planning. The Korean international air travel market is at an expansion stage. The objective of this study is to research the choice behaviour of Korean people for their international trips. The flight choice for long distance international travel, which takes more than ten hours of air journey time was studied through analysing stated preference (SP) data as well as revealed preference (RP) data, which were gathered by the survey of this research. The study identified the major factors influencing flight choice in the market and their relative importance by constructing logit models. Separate logit models have been calibrated with RP data and with SP data. The final conclusion was obtained from a comparison of the SP and RP model, and complementary interpretation of the results of RP data and SP data analysis. The major findings of the study are; (1) identification of journey time, air fare, service frequency, and nationality of airline as major factors influencing passengers' flight choice in the market. It is remarked that Korean nationality of airline is considerably preferred in the market. Most Koreans are not fluent in foreign languages, especially English or other European languages, and they are not accustomed to Western culture, and this results in their preference for Korean airlines. (2) estimation of the value of travel time, and other relative importance of variables. For RP data, not only coefficients of the model, but also intellectual interpretation of the data themselves was conducted because some coefficients of the RP model were not statistically significant.
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Caldas, Marco A. F. "Assessing the efficiency of revealed and stated preference methods for modelling transport demand." Thesis, Cranfield University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309686.

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Birol, Ekin. "Valuing agricultural biodiversity on home gardens in Hungary : an application of stated and revealed preference methods." Thesis, University College London (University of London), 2004. http://discovery.ucl.ac.uk/1446498/.

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This thesis contributes to the economics of conservation of agricultural biodiversity on farm with a case study on traditional Hungarian home gardens, which are microagroecosystems that are repositories of Hungary's remaining agricultural biodiversity riches, as well as of Hungarian cultural heritage. The aims of this thesis are to measure the private values of home gardens and agricultural biodiversity therein that accrue to farm families who manage them, and to investigate the effects of household, market, agro-ecological, cultural and economic factors on farm families' demand for and supply of agricultural biodiversity in their home gardens. Data on farm families' revealed and stated preferences for agricultural biodiversity in home gardens are collected from 323 farm households in 22 communities across 3 regions of Hungary, with an original farm household survey and an original choice experiment. Data are analysed with theoretical and empirical models from agricultural and environmental economics literature to identify those farm families, communities and regions that attach the highest values to agricultural biodiversity and that are most likely to conserve home gardens with high levels of agricultural biodiversity. The results disclose that the most isolated communities in the country, that are economically and environmentally marginalised, are most likely to sustain and attach the highest values to traditional, agricultural biodiversity rich home garden management practices. Within these communities, farm families that are larger, have elderly decisionmakers, lower income levels and home gardens with unfavourable production conditions tend to conserve higher levels of and attach the highest values to agricultural biodiversity in home gardens. Since where private values of conservation are the highest the cost of conservation would be the least, the results of this thesis may assist the national policy makers in designing efficient and cost-effective agri-environmental policies for conservation of Hungary's agricultural biodiversity riches and cultural heritage.
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Li, Xiaoshu. "Stated and Revealed Preference valuation of Forest Ecosystems." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64844.

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Stated preference and revealed preference are two commonly conducted non-market value evaluation methods which can also be applied to make evaluation of forest ecosystem. In the application of these evaluation methodologies, there always exists limitation from the data collection and empirical analysis. In the dissertation here, I extend the traditional evaluation methods with novel design or statistical analysis approaches to solve the practical problem we met in evaluation of forest ecosystem. The first and second chapters are based on stated preference methods. The first chapter employ both the mail survey and on-site survey to investigate the preference for attributes of low-impact timber harvesting programs. In the second chapter, we recruit three interest groups for on-site survey and compare their preference for the low-impact timber harvesting programs. In these first two chapters, choice modeling method is employed to elicit the respondents' preferences, and I also use bootstrap method to get robust estimation results for small sample size data. The last chapter employed revealed preference method to evaluate the economic losses from hemlock damages caused by forest pest. Three different interpolation methods are employed to scale-up the analysis from sites to states. Based on the findings of all three chapters, we can see that these survey design and statistical methods help to overcome the limitations in empirical analysis of forest ecosystem and make more robust inferences for design forest protection policies.<br>Ph. D.
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Surendran, Nair Sujithkumar. "Three Essays on Watershed Modeling, Value of Water Quality and Optimization of Conservation Management." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1261582121.

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PERUCCA, GIOVANNI. "RELIABILITY OF STATED PREFERENCE METHODS." Doctoral thesis, Università degli Studi di Milano, 2011. http://hdl.handle.net/2434/153780.

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Many times governments and policy makers have to choose among different projects or policies to implement. In principle, the best choice is the one which maximizes the social welfare that, in turn, depends on individual preferences. But very often preferences are unknown and even not observable. In practice, a common procedure is to directly ask a sample of individuals about their preferences, which are therefore stated by agents rather than revealed by their behaviour. Methods for preference revelation can be classified into two broad families. The first one involves the case in which respondents are asked to simulate their market behaviour in a fictitious context designed by the researcher. The final goal of these studies is the estimation of willingness to pay (WTP), or willingness to accept (WTA), for changes in provision of non-market goods. A large literature investigates both theoretical issues connected with these procedures (Bates, 1988) and empirical results from country experiences (Mackie at al., 2003). The second family of surveys are commonly employed in public opinion analysis. In this case respondents are asked to reveal their current attitudes, whilst in some circumstances they are required to state their satisfaction with a certain policy or service. In the last decades the interest towards such analysis largely increased and a broad amount of surveys have been systematically collected (Rabin, 2002). Whatever the kind of analysis, when individuals correctly report the behaviour they would keep in a real context, or honestly admit their attitudes and perceptions, the target of the policy maker is reached. Hence, the issue of reliability of stated preferences becomes crucial in order to understand what we can learn from surveys and how SP analysis can be exploited by policy makers. Our research question is simply the following one: can we trust in SP methods? In order to answer this question the work is organised in three sections. The first one is devoted to the definition of the concept of “reliability”. In the first place, the latter depends on the family of SP methods we are dealing with. When individuals are required to replicate their market behaviour in a fictitious scenario, two perspectives can be applied: the first one based on mainstream economic theory (Hicks and Allen, 1934) and the other one in accordance to the so called behavioural programme (Sunstein and Thaler, 2008). Both approaches are discussed, pointing out the problematic issues which characterise each methodology and trying to propose a definition for the concept of reliability. The second family of surveys can be classified into two sub-groups, based on the object of the analysis. The first group includes all situations where agents are required to reveal their actual behaviour (Bertrand and Mullainathan, 2001) while the second one is composed by those studies in which agents are asked to express their feelings or perceptions about a certain aspect of their life (McFadden et al. 2005). Again, the concept of reliability has been investigated for each group of surveys. The second and the third sections are devoted to empirical works which try, recalling the definition of reliability suggested in the first chapter, to apply this concept to empirical studies.
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Diener, Alan. "Valuing health and air quality using stated preference methods." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0034/NQ66200.pdf.

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Krcal, Ondrej, Stefanie Peer, Rostislav Stanek, and Bara Karlinova. "Real consequences matter: Why hypothetical biases in the valuation of time persist even in controlled lab experiments." Elsevier, 2019. http://dx.doi.org/10.1016/j.ecotra.2019.100138.

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In a controlled lab experiment, we investigate hypothetical biases in the value of time by comparing stated preference (SP) and revealed preference (RP) values attached to unexpected waiting times. The SP and RP choice sets are identical in terms of design with the only difference being that the RP choices have real consequences in terms of unexpected waiting times and monetary incentives. We find a substantial hypothetical bias with the average SP value of time being only 71% of the corresponding RP value. The bias is mainly driven by participants who have scheduling constraints during the time of the unexpected wait. Scheduling constraints are taken into account to a much lesser extent in the SP setting than in the RP setting, presumably because only in the latter, the consequences of ignoring them are costly. We find evidence that this effect is stronger for persons with relatively low cognitive ability.
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Jin, Jian Jun. "Stated preference methods and their applications for non-market environmental valuation in Macao." Thesis, University of Macau, 2006. http://umaclib3.umac.mo/record=b1636326.

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Skedgel, Chris D. "Estimating societal preferences for the allocation of healthcare resources using stated preference methods." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/6307/.

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Most governments in the world provide some publicly funded healthcare to their citizens, but given the scarcity of resources relative to potential demand, some form of rationing or priority setting is required, and some patients must be denied effective treatment. The thesis took the position that an explicit approach based on maximising the value that society derives from healthcare is the preferred way to address this rationing problem. Conventional health economic practice proposes that value should be equated with quality-adjusted life years (QALYs), leading to a policy of QALY maximisation, but, it is argued, not necessarily value maximisation. A more inclusive approach to defining value, based on societal preferences, may maximise overall well-being and be associated with greater trust and legitimacy in the priority setting process. The thesis identified patient and program characteristics that appeared to have empirical evidence of public support as well as a defensible ethical justification in determining the strength of a patient’s claim to societal healthcare resources. The relative strength of preferences for these characteristics, or the equity-efficiency trade-off, was estimated using stated preference methods. Two different methods, discrete choice experiments and constant-sum paired comparisons, were used and the response behaviours of the two elicitations were compared to identify a preferred method for eliciting societal preferences in the context of healthcare. Both methods found a statistically significant equity-efficiency trade-off in an age and sex representative sample of the Canadian public as well as a convenience sample of decision-making agents. This suggested that society would be willing to sacrifice some degree of efficiency in maximising individual life year gains in order to prioritise other characteristics consistent with the promotion of equity or distributive justice in the allocation of healthcare resources. However, differences between the results of the two elicitation methods suggested some systematic procedural variance.
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Books on the topic "Revealed and stated preference methods"

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Aizaki, Hideo. Stated preference methods using R. CRC Press, Taylor & Francis Group, 2015.

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Bradley, M. A. Sumultaneous analysis of stated preference and revealed preference information. [PTRC Education and Research Services], 1990.

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Tu, Yong. Housing choice process: A combined model of revealed preference and stated preference. Centre for Housing Research and Urban Studies, 1996.

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Haab, Timothy C. Preference data for environmental valuation: Combining revealed and stated approaches. Routledge, 2010.

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Meyerhoff, Jürgen. Stated preference methods for environmental valuation: Applications from Austria and Germany. Metropolis, 2007.

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1956-, Herriges Joseph A., and Kling Catherine L, eds. Valuing recreation and the environment: Revealed preference methods in theory and practice. E. Elgar Pub., 1999.

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Kesoretskikh, Ivan, and Sergey Zotov. Landscape vulnerability: concept and assessment. INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/1045820.

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The monograph presents a methodology for assessing the vulnerability of landscapes to external influences. A comparative analysis of the concepts of "stability", "sensitivity", "vulnerability" in relation to natural complexes. An overview of existing methods for assessing the vulnerability of natural complexes is presented. The author's method of assessing the vulnerability of landscapes to anthropogenic impacts is described. The methodology is based on: selection and justification of criteria for assessing the vulnerability of landscapes; preparation of a parametric matrix and gradation of assessment criteria in accordance with the developed vulnerability classes; calculation of weighting factors of vulnerability assessment parameters; selection of optimal territorial operational unit for landscape vulnerability assessment. The method is implemented in the GIS environment "Assessment of vulnerability of landscapes of the Kaliningrad region to anthropogenic impacts", created by the authors using modern geoinformation products. The specificity of spatial differentiation of different landscapes in terms of vulnerability to anthropogenic impacts at the regional and local levels is revealed. It is stated that the use of the methodology for assessing the vulnerability of landscapes to anthropogenic impacts and its integration into the system of nature management will ensure a balanced account of geoecological features and environmental priorities in territorial planning.&#x0D; It is of interest to specialists in the field of rational nature management, environmental protection, spatial planning.
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Yoo, Kwang Eui. A study of Korean air passengers' choice behaviour utilising stated preference and revealed preference methods. 1995.

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Sato, Kazuo, Hideo Aizaki, and Tomoaki Nakatani. Stated Preference Methods Using R. Taylor & Francis Group, 2014.

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Sato, Kazuo, Hideo Aizaki, and Tomoaki Nakatani. Stated Preference Methods Using R. Taylor & Francis Group, 2014.

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Book chapters on the topic "Revealed and stated preference methods"

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Cao, Zhen, Chenggong Tang, Yuping Wang, Juan Geng, and Zhun Tian. "Simulation Research on Emergency Evacuation of Subway Station Based on Latent Class Model." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-5814-2_46.

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AbstractIn order to deeply study the influence of pedestrian psychological behavior on route choice in the emergency evacuation process of subway stations, and quantify the influence of pedestrian psychological heterogeneity on evacuation efficiency, this study establishes an emergency evacuation simulation model based on latent class model to describe the decision-making behavior of pedestrians. Firstly, the stated preference and revealed preference (SP&amp;RP) survey method is used to investigate the psychological behavior of pedestrian groups and the behavior selection mode under different scenarios, and the latent class analysis (LCA) model is established to obtain the latent categories of pedestrians. Then, with the path length in the SP survey as the dependent variable, the distribution probability is obtained by using ordered multiple logistic regression. Finally, the evacuation environment is established in Anylogic for simulation and compared with the questionnaire results. The results show that the LCA model is in good agreement with the real observed values, and can better reflect the path choice behavior of evacuees in reality. There are differences in the influence degree of people with different psychological characteristics on evacuation efficiency. The calm type has the greatest influence on evacuation efficiency, followed by the autonomous type, and the influence of the mass type on evacuation efficiency can be ignored.
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Omori, Yui, Koichi Kuriyama, Takahiro Tsuge, Ayumi Onuma, and Yasushi Shoji. "Coastal Community Preferences of Gray, Green, and Hybrid Infrastructure Against Tsunamis: A Case Study of Japan." In Ecological Research Monographs. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6791-6_25.

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AbstractA decade has passed since the 2011 Great East Japan Earthquake and Tsunami struck. Despite increasing awareness that concrete-based coastal infrastructure, such as seawalls, is not sufficient to protect against unfathomable events, engineering structures still play a significant role in fortifying coastal communities. Meanwhile, purely nature-based approaches (i.e., coastal forests) also have limitations against cataclysmic waves, and there remain uncertainties regarding their ecosystem-based disaster risk reduction functions (Eco-DRR). In tackling these issues, hybrid infrastructure, which combines both gray and green components, has received growing interest. However, little research has been conducted to evaluate the economic values of coastal gray, green, and hybrid infrastructures under uncertainties in terms of people’s preferences.Therefore, in this study, we aimed to (1) quantify the economic value of coastal ecosystem services, including species richness, landscape, recreational services, and disaster risk reduction, under uncertainties through choice experiments; (2) clarify the differences in preferences for preparations against long-cycle tsunamis between those who reside in tsunami-prone areas and those who do not, using a conditional logit (CL) model; and (3) discuss the heterogeneities in coastal citizen perceptions by comparing the CL and mixed logit (ML) model. As a result, this study highlights the importance of considering the heterogeneity of preferences. Furthermore, our respondents in the tsunami-prone group (TPG) valued the coastal defense function offered by gray more highly than the non-TPG, demonstrating an especially large gap regarding seawalls against short-cycle tsunamis (willingness-to-pay (WTP) values of 11,233 JPY and 5958 JPY, respectively). However, there was no significance for coastal forests in the TPG, reflecting the importance of disaster prevention function offered by gray infrastructure. In addition, the hybrid landscape (seawalls + coastal forests) received higher positive responses, 71.1% with WTP of 8245 JPY, than the gray landscape (seawalls only) with WTP of −3358 JPY, as estimated by the ML model. These contradictions and heterogeneities in people’s preferences may foreshadow the difficulties of applying hybrid approaches; hence developing synthesized both stated preference and other revealed preference methods is indispensable for providing strategic design of gray-green combined coastal defense and bolstering coastal realignment.
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Paczkowski, Walter R. "Other stated preference methods." In Pricing Analytics. Routledge, 2018. http://dx.doi.org/10.4324/9781315178349-9.

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Brown, Thomas C. "Introduction to Stated Preference Methods." In A Primer on Nonmarket Valuation. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-0826-6_4.

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Boyle, Kevin J. "Introduction to Revealed Preference Methods." In A Primer on Nonmarket Valuation. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-0826-6_8.

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Johnston, Robert J., Mahesh Ramachandran, and George R. Parsons. "Benefit Transfer Combining Revealed and Stated Preference Data." In Benefit Transfer of Environmental and Resource Values. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9930-0_9.

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Shang, Liang, and Yanto Chandra. "A Comparison of Stated Preference Methods." In Discrete Choice Experiments Using R. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4562-7_2.

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Mark, Tami, and Joffre Swait. "Using Stated Preference and Revealed Preference Data Fusion Modelling in Health Care." In The Economics of Non-Market Goods and Resources. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-5753-3_10.

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Holmes, Thomas P., and Kevin J. Boyle. "Stated Preference Methods for Valuation of Forest Attributes." In Forests in a Market Economy. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0219-5_18.

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Shang, Liang, and Yanto Chandra. "An Overview of Stated Preference Methods: What and Why." In Discrete Choice Experiments Using R. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4562-7_1.

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Conference papers on the topic "Revealed and stated preference methods"

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Murro, Rocco. "SUSTAINABLE CITIES AND GREEN BUILDINGS VALUATION: THE APPLICATION OF DISCRETE CHOICE EXPERIMENTS IN PROPERTY APPRAISAL." In SGEM International Multidisciplinary Scientific GeoConference. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/6.2/s26.46.

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For the purpose of achieving a sustainable city, there has been a significant increase in the construction of green buildings in recent years. Since these are properties with characteristics that differ from those of ordinary buildings and, therefore, few transactions of comparable properties can be collected in the market area in which they are located, it is very difficult to apply the Revealed Preference Methods for green buildings appraisal. These cases produce the same conditions common to industrial products, where it is necessary to estimate goods that have never been traded previously or have little historical data regarding potential consumers� expectations. Usually, the techniques to use here are based on surveys and hypothetical markets, which consider a range of possible scenarios to estimate the value of goods through the preferences stated by the market operators. It may be assumed that resorting to Stated Preference Techniques in special contexts it is preferable to use alternative methods that produce reliable opinions of value. The paper proposes a property appraisal procedure that, by applying Discrete Choice Experiments, allows selecting the alternatives that are most likely to meet the market�s preference and estimating: a) the incidence of the characteristics in market price formation both for consumers and producers; b) the market share of possible alternative properties, derived from different combinations of the characteristics and the best marketability alternative; c) the hypothetical market price associated with possible alternative options. After outlining the key elements of the issue, the main methodological and operational aspects of the proposed methodology are described.
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Murro, Rocco. "CLIMATE CHANGE AND INVESTMENTS FOR URBAN RENOVATION: ASSESSING THE FINANCIAL SUSTAINABILITY WITH THE APPLICATION OF FUZZY LOGIC PRINCIPLES TO REAL ESTATE APPRAISAL." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/5.1/s21.54.

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Climate change requires significant measures to adapt existing cities to new requirements; extensive urban renewal actions are therefore necessary. In order to be financially sustainable, such investments are mainly based on real estate and market operations, also at long term. The current valuation practice would require to resort to appraisal methods based on actual, historical market data, also known as Revealed Preference Methods (RPMs), which allow to derive the preferences expressed by the actions of market. Because of the instability, complexity and uncertainty of real estate markets as they are today, the results obtained with the application of standard RPMs are often not fully reliable. The most advanced and current solutions to the above problems mainly focus on possibilistic models, based on fuzzy logic. Such models can account for the uncertainty in the input data and single out some estimated values that are associated with a certain likelihood of occurring or, alternatively, detecting a range of possible values. Such models represent a support to operate always within the range of the RPMs. They are instrumental to improving the quality of the input data and to describe the level of uncertainty. The paper proposes the application of fuzzy logic in valuation methods, considering another type of uncertainty from the one considered through the probability theory. After the framework of the issue and a brief description of the principles of the fuzzy logic theory, some proposals, at international level, concerning the application of fuzzy logic to real estate appraisal techniques (Sales Comparison Approach, Discounted Cash Flow Analysis and Multiple Linear Regressions) are described, analysed and critically discussed.
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MacDonald, Erin, Richard Gonzalez, and Panos Papalambros. "Preference Inconsistency in Multidisciplinary Design Decision Making." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35580.

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Research from behavioral psychology and experimental economics asserts that individuals construct preferences on a case-by-case basis when called to make a decision. A common, implicit assumption in engineering design is that user preferences exist a priori. Thus, preference elicitation methods used in design decision making can lead to preference inconsistencies across elicitation scenarios. This paper offers a framework for understanding preference inconsistencies, within and across individual users. We give examples of three components of this new framework: comparative, internal, and external inconsistencies across users. The examples demonstrate the impact of inconsistent preference construction on common engineering and marketing design methods, including discrete choice analysis, modeling stated vs. revealed preferences, and the Kano method and thus QFD. Exploring and explaining preference inconsistencies produces new understandings of the relationship between user and product.
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Jiang, Shengchuan, and Yuchuan Du. "Combining Revealed and Stated Preference Methods to Evaluate the Use of Bicycle-Sharing Systems." In Fourth International Conference on Transportation Engineering. American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413159.422.

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Ghotbi, Sina, Michael J. Scott, and Joseph A. Donndelinger. "Assessing Fusibility in Enrichment Methods for Disparate Customer Data Sets." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87751.

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Model fusion of results from disparate survey methodologies is a topic of current interest in both research and practice. Much of this interest has centered on the enrichment of stated-preference results with revealed-preference data, or vice versa, as it is considered that stated preference methods provide more robust trade-off information while revealed preference methods give better information about market equilibria. The motivation for this paper originates in the automotive industry, and is distinct in that it focuses on the reuse of existing data. Practitioners wish to glean as much information as possible from a large body of existing market research data, which may include minimally overlapping datasets and widely varying survey types. In particular, they wish to combine results from different types of stated preference methods. This paper presents two advancements in model fusion. One is a method for reducing data gathered in open-ended methods such as van Westendorp studies to a form amenable to analysis by multinomial logit, thus enabling the comparison of open-ended data to conjoint data on overlapping data sets. The other is a new statistical test for the fusibility of disparate data sets, designed to compare different methods of data comparison. This test is less sensitive than existing tests, which are most useful when comparing data sets that are substantially similar. The new test may thus provide more guidance in the development of new methods for fusing distinct survey types. Two examples are presented: a simple study of cell phone features administered as a test case for this research using both choice-based conjoint and van Westendorp methodologies, and a pair of existing larger-scale studies of automotive features with some attributes common to both studies. These examples serve to illustrate the two proposed methods. The examples indicate both a need for continued testing and several potentially fruitful directions for further investigation.
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Ortúzar, Juan de Dios, and Luis Ignacio Rizzi. "Valuing Accidents Using Stated Preference Methods." In Second International Conference on Transportation and Traffic Studies (ICTTS ). American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40503(277)6.

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Yan, Tingmin, and Zihe Chen. "Attention Training Products for Preschool Children using AHP-TOPSIS." In 10th International Conference on Human Interaction and Emerging Technologies (IHIET 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004015.

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This study aimed to explore the design elements and their corresponding weights for attention training products for preschool children to enhance their effectiveness. A mixed-methods approach was used to investigate factors related to attention training in preschool children. An evaluation matrix for the design elements of attention training products was constructed for preschool children using an Analytic Hierarchy Process, and a weight analysis was conducted. The Technique for Order Preference by Similarity to Ideal Solution was then utilized to obtain positive and negative ideal solutions for the three attention training product designs, and the best design was selected based on their relative closeness. The results revealed that genetic factors (C13), health level (C14), and family upbringing (C34) were important design elements for attention training products for preschool children. Among the three tested designs, the clip-on-ball toy was found to be the best solution. These findings provide valuable insights for the optimized design of attention training products for preschool children and practical application in the product development cycle's design and selection stages.
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Suzuki, Norikazu, Shengchuan Zhao, and Nobuhiro Akimoto. "Effects of Sample Size and Collection Methods on Stated Preference Models." In International Conference on Traffic and Transportation Studies (ICTTS) 2002. American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40630(255)103.

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Petermann, Felix-marcel, Ole Andreas Alsos, and Eleftherios Papachristou. "Interaction between humans and autonomous systems: Human facing explanatory interface for an urban autonomous passenger ferry." In Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002821.

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Problem statement During a public trial, over 150 passengers were interviewed about their thoughts and experiences using an autonomous ferry, among over 1500 passengers taking a trip on the world's first autonomous urban passenger ferry in Trondheim. One of the main issues expressed by passengers was a lack of information about the state of the unmanned ferry service. A safety attendant was aboard for the three-week public testing to take over control in the unlikely case of a hazardous event. Observations of passengers revealed a desire for information regarding the functionality of the ferry, the current state of the boat, and the progress of the current journey. Passengers interviewed stated that, especially if no safety personnel are on board, the demand for information is higher because no one can be queried. The absence of information increased the sense of insecurity. Since the space aboard the autonomous passenger ferry is limited, the used option cannot be too spacious; nonetheless, the information must be easily available to users. Research Question What information do passengers require on a self-driving urban passenger ferry? Does the type of information displayed affect passengers' perceptions of safety? Method Two 10-inch high-luminance (1000 nits) screens have been installed on the mast of the autonomous passenger ferry, allowing the user to see information on both sides when embarking, disembarking, and traveling. Two distinct information screen concepts have been visualized for use in a semi-structured interview. First, the passengers were asked what they could see on each of the concepts and what information they thought would be most useful. They should also explain how the information they view influences their sense of safety and trust. In an AB-test, passengers were asked to select a preferred concept for the information screen and describe why they chose that concept in detail. One of the concepts (A) was straightforward and depicted the journey's progress as a linear bar. Furthermore, the traveler could observe the ferry's status with a large illustration, along with the status in one word and a brief description. The second concept (B) should attract those passengers who are interested in details and technical elements. Concept B contained an environment map with the ferry's intended path and present position and heading, details for each single thruster, the speed in kn, system health status, battery levels, compass, object detection, and the ferry's current operation status. All used and previously stated characteristics on both presented screens have been used in a semi-open card sort to determine which information is most valuable to the passengers. The passengers were instructed to prioritize the offered information and fill in blank cards with missing information. Each of the placed cards was awarded points based on their location in the assortation; the further left the things were placed, the more points were awarded; the further right, the fewer points were awarded. Results 15 of the 1500 passengers who participated in the public trial of the urban autonomous passenger ferry were specifically asked about their preference for data visualization and the demand for information on such a ferry. The majority of the passengers (n = 12) indicated that they would prefer the simpler version of the information concept (A), whereas the remainder of the interviewed passengers would prefer the more technical interface because they are more concerned with the ferry's functionality and the reliability of the components. All of the users stated that they would feel less safe if there was no safety attendant or information screens on board. The cart sort analysis reveals that the more technical components have been ranked as less relevant, with the ferry's state, system health, and continuous travel progress being more important than detected objects, thruster details, LiDAR, and radar visualization. Conclusion Both the interview data and the card sort revealed that passengers on autonomous passenger ferries have a higher demand for straightforward and immediately available information. If they cannot obtain it from a human safety attendant on board, they require additional information that is not overly technical in order to maintain a high degree of safety perception.
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Sousa, Sara. "THE REVEALED PREFERENCE METHODS IN ECONOMIC VALUATION OF ENVIRONMENTAL GOODS: A REVIEW." In 43rd International Academic Conference, Lisbon. International Institute of Social and Economic Sciences, 2018. http://dx.doi.org/10.20472/iac.2018.043.044.

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Reports on the topic "Revealed and stated preference methods"

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Blackman, Allen, Sahan Dissanayake, Adan Martinez Cruz, Leonardo Corral, and Maja Schling. Benefits of Titling Indigenous Communities in the Peruvian Amazon: A Stated Preference Approach. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004678.

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We conduct a discrete choice experiment with leaders of a random sample of 164 Peruvian indigenous communities (ICs) - to our knowledge, the first use of rigorous stated preference methods to analyze land titling. We find that: (i) on average, IC leaders are willing to pay US$35,000-45,000 for a title, roughly twice the per community administrative cost of titling; (ii) WTP is positively correlated with the value of IC land and the risk of land grabbing; and (iii) leaders prefer titling processes that involve indigenous representatives and titles that encompass land with cultural value.
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Batarce, Marco, Sebastian Raveau, Juan Carlos Muñoz, Juan de Dios Ortúzar, Carlos Mojica, and Ramiro Alberto Ríos Flores. Evaluation of Passenger Comfort in Bus Rapid Transit Systems. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0009244.

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Passenger crowding is one of the main problems in Bus Rapid Transit (BRT) systems. This document presents an analysis and valuation of passenger crowding in two Latin American BRT systems. First, there is a literature review on methods for valuation of crowding in public transportation. Second, there is a summary with the main characteristics of the mass transport systems of Bogota (Transmilenio) and Santiago de Chile (Transantiago). Third, the report shows the survey design for the stated preference scenarios, describes the collected information and presents the model estimation and key results. Finally the report discusses and analyzes policies for improving comfort level in the BRT systems.
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Quiroga, Ricardo, William J. Vaughan, and Sergio Ardila. A Review of the Use of Contingent Valuation Methods in Project Analysis at the Inter-American Development Bank. Inter-American Development Bank, 1998. http://dx.doi.org/10.18235/0011572.

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This paper (ENV-126) was originally presented at a National Science Foundation Workshop on Alternatives to Traditional Contingent Valuation Methods in Environmental Valuation, held at Vanderbilt University, Nashville Tennessee, on October 15-16, 1998. This paper reviews the past ten years of the Inter-American Development Bank's experience with stated preference methods, concentrating on their use in the cost-benefit analysis of projects supplying sewer service and improving ambient water quality in Latin America and the Caribbean. It reports the range of willingness to pay estimates involved, and comments on some of the most important economic analysis issues that appear to have arisen. Among these are the effect that alternative econometric specifications of the choice model can have on our estimates of average (or median) household willingness to pay derived from referendum CV surveys, the need to match what any investment project purports to achieve in a CV survey to what it will actually achieve in practice, and the role of sensitivity analysis in portraying the distribution of expected gross and net project benefits.
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Moras, Bruno Cesar Krause, Xiaowei Chen, Kenny Chandra Wijaya, Satish Ukkusuri, Samuel Labi, and Konstantina Gkritza. Electric Vehicles: Public Perceptions, Expectations, and Willingness-to-Pay. Purdue University, 2025. https://doi.org/10.5703/1288284317766.

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The primary objective of this project was to understand Indiana resident’s perspectives on electric vehicles (EVs), including adoption incentives and barriers, awareness of adoption incentives, charging preferences, and general travel patterns. A secondary objective was to establish a framework for identifying EV users, detailing their trips, and generating predictions for EV adoption and usage. To achieve these objectives, a stated preference survey was conducted with 1,217 Indiana residents. Two datasets containing travel behavior data were incorporated to generate synthetic data. The survey results revealed that Indiana EV users are typically middle-aged males living and working in urban areas. EV users tend to drive more frequently than non-EV users and prefer owning EVs over leasing them. They consider home charging as a vital component of EV usage. Non-EV users identified purchase price and charging issues as the main barriers to adoption and are generally unaware of charging incentives. They are also less inclined to use public charging facilities due to their perceived unreliability. EV trips are usually short distance. The generated synthetic dataset aligned with real-world data, predicting future EV demand for the next 8 years. Under an optimistic scenario, the number of EVs could increase by 18 times above the 2023 levels. Under a pessimistic scenario, it could double. This project supports INDOT, and other stakeholders prepare for the increased EV usage resulting from the deployment of charging stations. To foster EV adoption, it is recommended to better promote EV incentives, develop workforce programs focused on used EVs, and provide segmented education about public charging infrastructure.
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OLUWASANYA, Grace, Ayodetimi OMONIYI, Duminda PERERA, Manzoor QADIR, and Kaveh MADANI. Unmasking the Unseen: The Gendered Impacts of Water Quality, Sanitation and Hygiene. United Nations University Institute for Water, Environment and Health (UNU INWEH), 2024. http://dx.doi.org/10.53328/inr24gar011.

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This report investigated the interplay between water quality, sanitation, hygiene and gender by examining distinct variables of water quality and their varying impacts on gender like reported water-related illnesses of males and females, and the consequences of water quality, sanitation, and hygiene on menstrual hygiene practices, particularly focusing on a low- and middle-income country- LMICs. This report presents the key findings, outlining a framework and guidance for examining gender-specific impacts stemming from poor water quality and WASH practices through a piloted case study in Abeokuta City, Nigeria, to serve as a preliminary guide for conducting comprehensive, site-specific assessments. The piloted Differential Impacts Assessment, DIA framework is a 5-step approach, guiding the evaluation of gendered impacts from method design to the field activities, which include water sampling and laboratory analysis, public survey, and health data collection, to the data and gender analysis. The focus on low- and middle-income countries underscores the importance of DIA in such regions for better health and socioeconomic outcomes, promoting inclusive development. The study results reveal unsettling, largely unseen gender disparities in exposure to health-related risks associated with non-utility water sources and highlight pronounced differences in water source preferences and utilization, the burden of water sourcing and collection, and health- and hygiene-related practices. Specifically, this preliminary assessment indicates an alarming inadequacy in accessing WASH services within the pilot study area, raising considerable doubts about achieving SDG 6 by 2030. While this finding is worrying, this report also discusses the lack of a standardized protocol for monitoring water-related impacts utilizing sex-disaggregated data, shedding light on the unseen global-scale gendered impacts. The report warns about the water safety of non-utility water sources. Without point-of-use treatment and water safety protocols, the water sources are unsuitable for potable uses, potentially posing compounded health risks associated with microbial contaminations and high calcium content, particularly affecting boys. Girls are likely the most affected by the repercussions of water collection, including time constraints, health implications, and safety concerns. Men and boys face a higher risk related to poor hygiene, while women may be more susceptible to health effects stemming from toilet cleaning responsibilities and shared sanitation facilities. Despite the preference for disposable sanitary pads among most women and girls, women maintain better menstrual hygiene practices than girls. This age-specific disparity highlights potential substantial health risks for girls in the near and distant future. Enhancing women's economic status could improve access to superior healthcare services and significantly elevate household well-being. The report calls for targeted actions, including urgent planning and implementation of robust water safety protocols for non-utility self-supply systems and mainstreaming gender concerns and needs as the “6th” accelerator for SDG 6. The piloted methodology is scalable and serves as an introductory guide that can be further refined to explore and track site-specific differential health and socioeconomic effects of inadequate water quality, especially in locales similar to the study area. The report targets policymakers and donor organizations advocating for sustainable water resource development, public health, human rights, and those promoting gender equality globally
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Randrup, Thomas B., Agnes Pierre, Niel Sang, and Kjell Nilson. Equity in Green Space Planning and Management : synthesis study on data availability for the development of a socio-ecological index. SLU Movium Think Tank, 2025. https://doi.org/10.54612/a.7h5gdnod5n.

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As cities densify to meet environmental and economic goals, the equitable distribution of urban green spaces (UGS) becomes critical for fostering community well-being, promoting environmental justice, and enhancing climate resilience. This report presents a synthesis study conducted by the Swedish University of Agricultural Sciences (SLU) in collaboration with Nilsson Landscape, aimed at understanding the relationship between socio-economy and accessibility to UGS, to assess and enhance green equity in urban environments. The research focuses on Malmö specifically, and have involved Region Skåne as a proxy for other municipalities in southern Sweden, leveraging data on green space access, canopy cover, socio-economic indicators, and maintenance costs. The primary objective of this study was to establish a data-driven, replicable framework that quantifies green space equity at the city district level. Specifically, the research seeks to (i) identify key indicators of green space availability and socio-economic status that can be measured consistently across Swedish municipalities; (ii) develop a composite relationship (a matrix or an index) that integrates these indicators to provide actionable insights for urban planners and policymakers, and (iii) to test the applicability of this index in Malmö, illustrating its potential to guide future investments in UGS for equitable urban development. The research integrates three complementary initiatives: i. KSLA Project: A synthesis of socio-economic and green space factors relevant to equity in urban environments. ii. FoMA Project: Development and testing of green space indicators, including canopy cover, urban green space per capita, and distance to the nearest green space, in relation to socio-economic metrics like income, education, and employment. iii. Movium Partnership: Evaluation of the Green Equity Matrix, a tool that categorizes neighborhoods based on their socio-economic status (SES) and green space status (GSS), and explores policy implications and maintenance costs. The ambition to develop a matrix or an index aligns with international models such as the Tree Equity Score and Spatial Equity NYC but adapts them to the Swedish context, where socioeconomic factors and access to UGS are measured differently. Data sources include GIS-based analyses, municipal records, and socio-economic data from Statistics Sweden. All computations of UGS rely on open datasets, which are updated at varying frequencies but not always regularly. All the SES data is easily accessible and reliable, and available at DeSO level. A Green Equity Matrix was developed, including seven indicators ‘UGS per capita’, ‘canopy cover’, ‘distance to UGS’ as Green Space Status (GSS) indicators, and ‘age dependency’, ‘income’, ‘education level’, and ‘employment rate’, as Socio-Economic Status (SES) indicators. Each indicator was computed and combined into two individual indexes. All indicators are combined unweighted, meaning they are treated equally when combined. Contrary to widespread assumptions, our analysis reveals that neighbourhoods with lower SES often have higher GSS in Malmö. Lower SES neighbourhoods in Malmö were often developed around the 1960’es and early 1970’es (the Million Program), where larger parks and green spaces were prioritized. As such, we believe these areas have benefited from earlier planning efforts aimed at providing green amenities to balance socio-economic disadvantages, and that the effects of these efforts are still notable in a Swedish context like in Malmö. However, while higher GSS in lower SES areas is a positive finding, it does not necessarily reflect equitable quality or functionality of Summary green spaces. Socio-economic disparities might still influence the usability, safety, and maintenance of these green areas, affecting their actual benefits to residents. We calculated maintenance cost in DeSOs characterized by both low GSS and low SES. Here, costs range from 24 to 335 SEK per capita, with an average in Malmö being 448 SEK per capita. Even though we indicate a relationship between low SES and low maintenance cost, we recognise the need for better data, including a calculation based on actual use, rather than cost per capita. However, such data is not available today. The actual quality of UGS should be further explored and considered incorporated into or related to the matrix. This will ensure that green space interventions align with the needs and preferences of residents. In line with this, local governments’ capacities to develop such indices should be explored too. However, the use of accessible data in combination with relatively simple GIS-based socio-ecological analysis has been prioritised for this project. Thus, our proposed method does not require advanced GIS skills, making it accessible for all municipalities. The suggested method ranks neighbourhoods within a municipality or urban area, meaning the GSS and SES results cannot be directly compared across different municipalities or urban areas. However, metrics such as the percentage of neighbourhoods within each quadrant or within a certain standard deviation can still be used for comparisons with other municipalities or urban areas. Our new and nuanced understanding of the relationship between SES and GSS challenges the conventional narrative that socio-economically disadvantaged neighbourhoods lack access to green spaces. Instead, it highlights the need for context-specific urban planning and management that recognizes both the strengths and challenges of different neighbourhoods.
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Methodology of sports working capacity level increase in basketball players on the basis of stimulation and rehabilitation means. Viktor V. Andreev, Igor E. Konovalov, Dmitriy S. Andreev, Aleksandr I. Morozov, 2021. http://dx.doi.org/10.14526/2070-4798-2021-16-1-5-11.

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The increased level of modern sport development increases the demands claimed on different aspects of the training process with further rehabilitation organization and realization. That is why we still have the problem of an adequate and effective integral system creation. The mentioned direction has a direct connection with the activity of scientists, coaches- practitioners and sports clubs. They have to work within one mechanism of interaction. Materials. Studying the level of working capacity influence stimulation and organism rehabilitation means on an organism of basketball players from higher educational establishments on the basis of a wildgrowing plant root “snowdon rose” (Rhodiola rosea), classical massage with special oils and contrast shower application. Research methods. The following methods were used in the experiment: scientific-methodical sources analysis concerning the level of working capacity and athletes’ functional rehabilitation increase; functional tests; the received video material with the indices analysis; mathematical statistics. The research realization was on the basis of N.F. Katanov State University, Khakassia and Khakassia Technical Institute (branch) of Siberian Federal University in Abakan. Results. During the research work we stated qualitative and quantitative indices of athletes’ coordinating endurance with the help of video together with other mentioned above rehabilitation means; the received results were handled and we revealed positive changes in the studied information values of basketball players’ motor sphere and respiratory system. Conclusion. The results analysis, received after the research, helped to come to the following conclusion: out of the presented components the biological factor in a form of a wild-growing plant root “snowdon rose” (Rhodiola rosea) has the main influence on the working capacity and functional rehabilitation of basketball players’ organisms.
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