Relevant bibliographies by topics / Choice of mode

Contents

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

Academic literature on the topic 'Choice of mode'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Choice of mode"

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Subhro Mitra. "Discrete Choice Model of Agricultural Shipper's Mode Choice." Transportation Journal 52, no. 1 (2013): 6. http://dx.doi.org/10.5325/transportationj.52.1.0006.

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Sanches, Suely da Penha, and Fabiana Serra de Arruda. "Incorporating Nonmotorized Modes in a Mode Choice Model." Transportation Research Record: Journal of the Transportation Research Board 1818, no. 1 (2002): 89–93. http://dx.doi.org/10.3141/1818-14.

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Yang, S., Wei Deng, D. X. Wu, and W. Gong. "Analysis of the Interrelationship between Trip Chain Pattern and Trip Mode Choice Based on Multinomial Logistic Model." Applied Mechanics and Materials 743 (March 2015): 407–12. http://dx.doi.org/10.4028/www.scientific.net/amm.743.407.

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This paper explores the interrelationship between trip chain pattern and trip mode choice based on multinomial logistic model, using 2010 Nanjing resident trip survey data. Unlike previous literatures, trip mode choice is divided into single-mode and multi-modes in this study. Estimation coefficients verify trip chain pattern and trip mode selection are a pair of choices that influence each other. Trip mode is great positively associated with trip chain pattern of HW+WH, HO+OH, HW+OH, however, in return trip chain pattern is the most significant negative factor that affects trip mode choice, w
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Cheng, Long, Xuewu Chen, Ming Wei, Jingxian Wu, and Xianyao Hou. "Modeling Mode Choice Behavior Incorporating Household and Individual Sociodemographics and Travel Attributes Based on Rough Sets Theory." Computational Intelligence and Neuroscience 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/560919.

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Most traditional mode choice models are based on the principle of random utility maximization derived from econometric theory. Alternatively, mode choice modeling can be regarded as a pattern recognition problem reflected from the explanatory variables of determining the choices between alternatives. The paper applies the knowledge discovery technique of rough sets theory to model travel mode choices incorporating household and individual sociodemographics and travel information, and to identify the significance of each attribute. The study uses the detailed travel diary survey data of Changxi
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Wang, Yanli, Bing Wu, Zhi Dong, and Xin Ye. "A Joint Modeling Analysis of Passengers’ Intercity Travel Destination and Mode Choices in Yangtze River Delta Megaregion of China." Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/5293210.

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Joint destination-mode travel choice models are developed for intercity long-distance travel among sixteen cities in Yangtze River Delta Megaregion of China. The model is developed for all the trips in the sample and also by two different trip purposes, work-related business and personal business trips, to accommodate different time values and attraction factors. A nested logit modeling framework is applied to model trip destination and mode choices in two different levels, where the lower level is a mode choice model and the upper level is a destination choice model. The utility values from v
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Hwang, Jung-Hoon. "A Comparative Analysis of Characteristics of Mode Choice and Mode Transfer to Public Transit by Mode-Choice Class for the Effective Transportation Demand Management Implement." Journal of the Korean Society of Civil Engineers 33, no. 6 (2013): 2493. http://dx.doi.org/10.12652/ksce.2013.33.6.2493.

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Timmermans, H. J. P. "A Stated Choice Model of Sequential Mode and Destination Choice Behaviour for Shopping Trips." Environment and Planning A: Economy and Space 28, no. 1 (1996): 173–84. http://dx.doi.org/10.1068/a280173.

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Stated preference and choice models currently used in urban planning are focused on predicting single choices. In this paper the intention is to extend these modelling approaches to the case of sequential choice behaviour. Design strategies and model specifications that allow one to predict sequential choice are discussed. The approach is illustrated in a study of sequential mode and destination choice behaviour for shopping trips. The research findings suggest that the proposed approach may be a valuable extension of currently available stated preference and choice methods to analyse more com
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Bamberg, Sebastian, and Peter Schmidt. "CHANGING TRAVEL-MODE CHOICE AS RATIONAL CHOICE:." Rationality and Society 10, no. 2 (1998): 223–52. http://dx.doi.org/10.1177/104346398010002005.

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Xu, Gangxiang, Bin Guo, Wen Li, and Xiaoting Wang. "Foreign sequential entry mode choice." Baltic Journal of Management 13, no. 4 (2018): 544–63. http://dx.doi.org/10.1108/bjm-09-2017-0280.

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Purpose The purpose of this paper is to use the theoretical perspective of structural inertia as a unique lens to study foreign sequential entry mode choices of multinational firms. Design/methodology/approach It adopts quantitative analysis of a sample of 121 Chinese publicly listed firms with 564 foreign entry incidents in the 2001-2012 period to test the hypotheses. Findings The empirical results show that multinational firms have a tendency to adopt the same mode in the subsequent entry as the number of prior entry mode choice of a given type (joint venture (JV) in this study) increases. T
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Moslem, Sarbast, Tiziana Campisi, Agnieszka Szmelter-Jarosz, Szabolcs Duleba, Kh Md Nahiduzzaman, and Giovanni Tesoriere. "Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy." Sustainability 12, no. 17 (2020): 6824. http://dx.doi.org/10.3390/su12176824.

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All countries have suffered from the COVID-19 crisis; the pandemic has adversely impacted all sectors. In this study, we examine the transport sector with a specific focus on the problem of commuting mode choice and propose a new decision-making approach for the alternative modes after synthesizing expert opinions. As a methodology, a customized model of the recently developed best–worst method (BWM) is used to evaluate mobility choice alternatives. The survey reflects citizens’ opinions toward mobility choices in two Italian cities, Palermo and Catania, before and during the pandemic. BWM is
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Dissertations / Theses on the topic "Choice of mode"

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Bitzios, D. "Visitor mode choice." Thesis, Queensland University of Technology, 2001. https://eprints.qut.edu.au/36146/1/36146_Bitzios_2001.pdf.

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Mode choice models have, in the past, been disaggregated by a range of work and personal trip purposes. Linear expressions have been developed describing the utility or generalised cost of each transport mode option within each trip purpose category. With improving data collection, storage and processing facilities, highly disaggregate models are finding wider application in mode choice modelling. Disaggregate mode choice models developed thus far have not explicitly defined visitor mode choice and have therefore assumed that visitors' mode choice characteristics are similar to those of res
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Hosoda, Takamichi 1965. "Incorporating unobservable heterogeneity in discrete choice model : mode choice model for shopping trips." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9498.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1999.<br>Includes bibliographical references (leaves 90-95).<br>In this thesis, we propose a methodology for incorporating attitudinal data in a choice model to capture unobservable heterogeneity across the population. The key features of this approach are, 1) the concept of latent attitudes, and the assumption that 2) the respondent's answers to psychometric attitudinal questions relating to the importance of attributes are manifestations of these attitudes and that 3) those attitudinal data br
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Lu, Qingying. "Mode Choice Methodology in TRANSIMS." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/36073.

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TRANSIMS is a disaggregate, behavioral transportation planning package developed under US DOT's and EPA funding at the Los Alamos National Laboratory (LANL). It is an integrated system of travel forecasting models designed to give transportation planners accurate, complete information on traffic impacts, congestion, and pollution by simulating second-by-second movements of every person and every vehicle through the transportation network of a large metropolitan area. There is no built-in module for travellers' mode choices In TRANSIMS. The modes going with the shortest path are always taken. I
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Pedersen, Tore. "Affective Forecasting in Travel Mode Choice." Doctoral thesis, Karlstads universitet, Avdelningen för psykologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-8685.

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The general aim of this thesis was to investigate affective forecasting in the context of public transport. Paper I, Study 1 revealed that non-users of public transport were less satisfied with the services than users. It was hypothesised that non-users were biased in their satisfaction ratings, a claim that was subsequently investigated in Paper I, Study 2, where a field experiment revealed that car users suffer from an impact bias, due to being more satisfied with the services after a trial period than they predicted they would be. To address the question of whether a focusing illusion is th
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Hole, Arne Risa. "Modelling commuters' mode choice in Scotland." Thesis, University of St Andrews, 2005. http://hdl.handle.net/10023/14115.

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This thesis contributes to the literature on the choice of transport mode for commuting trips, with special focus on the difference between urban and rural commuting in Scotland. The thesis begins by giving an overview of discrete choice theory and some empirical models consistent with this theory, before reviewing the literature on empirical applications of mode choice models for commuting trips. In the following, multinomial, nested and mixed logit models using data from a survey of commuters in the University of St Andrews are developed. The models are used to estimate aggregate mode-choice
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Hunt, John Douglas. "Modelling commuter parking location choice and its influence on mode choice." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237902.

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Ashiabor, Senanu Y. "Modeling Intercity Mode Choice and Airport Choice in the United States." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26221.

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The aim of this study was to develop a framework to model travel choice behavior in order to estimate intercity travel demand at nation-level in the United States. Nested and mixed logit models were developed to study national-level intercity transportation in the United States. A separate General Aviation airport choice model to estimates General Aviation person-trips and number of aircraft operations though more than 3000 airports was also developed. The combination of the General Aviation model and the logit models gives the capability to estimate a full spectrum of intercity travel dema
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Kim, Hyun Chan. "Developing a mode choice model for New Zealand freight transportation." Thesis, University of Canterbury. Civil and Natural Resources Engineering, 2014. http://hdl.handle.net/10092/10031.

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The aim of this research was to construct a freight mode choice model, from the perspective of New Zealand freight shippers, identifying the possibility of mode substitution effects. Shipper’s freight modal choice depends on freight demand and infrastructure as well as the quality of service characteristics of alternative modes, such as transport cost, delivery time, reliability, damage and loss and frequency of service. Freight logistics characteristics, such as the attributes of the shipper, the attributes of the commodities to be transported, and the spatial attributes of shipments, stron
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Shaw, Shih-lung 1958. "A constrained attitudinal model of urban travel mode-choice behavior /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487267546982637.

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Maier, Thomas. "House Price Dynamics and Traffic Mode Choice:." Diss., lmu, 2007. http://nbn-resolving.de/urn:nbn:de:bvb:19-65036.

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Books on the topic "Choice of mode"

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Guini, Viviane. Collège, mode d'emploi. Calmann-Lévy, 1988.

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Tomassen, Sverre. Norwegian companies in India: Operation mode choice. Norwegian School of Management BI, 1999.

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Metropolitan Planning Organization (Mass.). Central Transportation Planning Staff. and Travel Model Improvement Program (U.S.), eds. Transfer penalties in urban mode choice modeling. Travel Model Improvement Program, U.S. Dept. of Transportation, U.S. Environmental Protection Agency ; Distributed in cooperation with Technology Sharing Program, Research and Special Programs Administration, US Dept. of Transportation, 1997.

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Tomassen, Sverre. Norwegian companies in India: Operation mode choice. Norwegian School of Management BI, 1999.

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United States. Federal Highway Administration. Office of Highway Information Management., ed. Travel mode special reports. U.S. Dept. of Transportation, Federal Highway Administration, 1994.

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Singapore. Dept. of Statistics., ed. Transport mode, households, and housing characteristics. Dept. of Statistics, 1997.

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Chicago Transit Authority. Strategic Planning Dept. System Monitoring and Impact Analysis Section., ed. O'Hare Airport ground travel survey. The Department, 1990.

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Outwater, Maren, Bhargav Sana, Nazneen Ferdous, Bill Woodford, and John Lobb. Characteristics of Premium Transit Services that Affect Choice of Mode. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22401.

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Jean-Paul, Brighelli, ed. Après le bac, mode d'emploi. Plon, 2012.

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Dasgupta, M. Mode choice in travel to work in British cities, 1971-1981. Department of Geography, London School of Economics, 1989.

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Book chapters on the topic "Choice of mode"

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Elliott Gordon, Cameron. "Modes and mode choice." In Transport Economics. Routledge, 2025. https://doi.org/10.4324/9781003350866-8.

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Chen, Huey-Kuo. "Dynamic User-Optimal Mode Choice Models." In Dynamic Travel Choice Models. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59980-4_8.

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Zhang, Junyi, and Harry Timmermans. "A Scobit-Based Travel Mode Choice Model." In Proceedings of the 2010 Academy of Marketing Science (AMS) Annual Conference. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11797-3_88.

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Takahashi, Haruo. "Choice of Mode of Ear Surgery." In The Middle Ear. Springer Japan, 2001. http://dx.doi.org/10.1007/978-4-431-68377-3_3.

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Nash, C. A., and A. E. Whiteing. "Mode Choice: A Total Distribution Cost Approach." In Freight Transport Planning and Logistics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-02551-2_4.

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Ran, Bin, and David E. Boyce. "Combined Departure Time/Mode/Route Choice Models." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-00773-0_11.

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Ran, Bin, and David Boyce. "Combined Mode/Departure Time/Route Choice Models." In Modeling Dynamic Transportation Networks. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80230-0_12.

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Petersen, Bent, Gabriel R. G. Benito, Lawrence S. Welch, and Christian Geisler Asmussen. "Mode Configuration Diversity: A New Perspective on Foreign Entry Mode Choice." In Thought Leadership in Advancing International Business Research. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230594234_4.

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Poltimäe, Helen, and Mari Jüssi. "Factors Affecting Choice of Travel Mode in Tallinn." In Environmental Challenges in the Baltic Region. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56007-6_6.

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Duniach-Smith, Krista. "Franchising and the Choice of International Entry Mode." In Contributions to Management Science. Physica-Verlag HD, 2004. http://dx.doi.org/10.1007/978-3-7908-2662-3_14.

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Conference papers on the topic "Choice of mode"

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Jean-François, Rosnarho. "Criteria of Choice of Mode Stirred Reverberation Chamber." In 2004_Wroclaw. IEEE, 2004. https://doi.org/10.23919/emc.2004.10844143.

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Wisetjindawa, Wisinee, and Andrew Broadbent. "Travel Mode Choice Analysis based on Mobile Location Data." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919996.

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Gong, Xiaogang, Hai Yan, Shixu Liu, and Zhi Xu. "Tourism Traffic Mode Choice Behavior Model." In 11th International Conference of Chinese Transportation Professionals (ICCTP). American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41186(421)75.

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Yang, Chen, Wei Wang, Zhibin Li, and Jian Lu. "Travel Mode Choice Based on Latent Variable Enriched Discrete Choice Model." In Second International Conference on Transportation Engineering. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)720.

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Xu, Tian, Lili Wang, Han-Yue Deng, and Jian-Bei Liu. "Traveling Mode Choice Model under Bounded Rationality." In 19th COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482292.055.

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Wright, Leah, and Trevor Townsend. "MODE CHOICE MODELLING OF PARATRANSIT MODES IN TRINIDAD." In International Conference on Emerging Trends in Engineering & Technology (IConETech-2020). Faculty of Engineering, The University of the West Indies, St. Augustine, 2020. http://dx.doi.org/10.47412/vsaz9280.

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Lei, Lei, Xia Luo, and Xiaowen Jiang. "Access Mode Choice Model for Highway Passenger Station." In Second International Conference on Transportation Engineering. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)321.

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He, Min, Mingwei He, Ren Dong, and Yan Hou. "Competitive Mode Choice Behavior between E-Bike and Bike Based on Discrete Choice Model." In Second International Conference on Transportation Engineering. American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41039(345)291.

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Peng Wu, Qianqian Wang, and Ruining Wang. "Production mode choice under carbon tax." In 2017 14th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2017. http://dx.doi.org/10.1109/icsssm.2017.7996141.

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Zhou, Gaowei. "Analysis of Intercity Passenger Mode Choice Behavior Based on Probability Choice Modal." In International Conference of Logistics Engineering and Management (ICLEM) 2010. American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41139(387)441.

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Reports on the topic "Choice of mode"

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Adkins, Arlie. Determinants of Recent Mover Non-work Travel Mode Choice. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1918.

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Singleton, Patrick. Exploring the Positive Utility of Travel and Mode Choice. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5664.

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Zhao, Fang. FSUTMS Mode Choice Modeling: Factors Affecting Transit Use and Access. University of South Florida, 2002. http://dx.doi.org/10.5038/cutr-nctr-rr-2000-19.

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Javanmardi, Mahmoud. Mode Choice Modeling Using Personalized Travel Time and Cost Data. University of South Florida, 2015. http://dx.doi.org/10.5038/cutr-nctr-rr-2015-07.

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Broach, Joseph. Travel Mode Choice Framework Incorporating Realistic Bike and Walk Routes. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2698.

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Gkritza, Konstantina, Christos Gkartzonikas, Lisa L. Losada-Rojas, and Zimo Zhang. Behavioral Intention to Ride in an AV and Implications on Mode Choice Decisions, Energy Use and Emissions. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317569.

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Wang, Chih-Hao, and Na Chen. Do Multi-Use-Path Accessibility and Clustering Effect Play a Role in Residents' Choice of Walking and Cycling? Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2011.

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The transportation studies literature recognizes the relationship between accessibility and active travel. However, there is limited research on the specific impact of walking and cycling accessibility to multi-use paths on active travel behavior. Combined with the culture of automobile dependency in the US, this knowledge gap has been making it difficult for policy-makers to encourage walking and cycling mode choices, highlighting the need to promote a walking and cycling culture in cities. In this case, a clustering effect (“you bike, I bike”) can be used as leverage to initiate such a trend
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เฉลิมพงศ์, ศักดิ์สิทธิ์. การพัฒนาแบบจำลองพฤติกรรมการเลือกใช้ระบบขนส่งมวลชนรองสำหรับระบบรถไฟฟ้าขนส่งมวลชนในกรุงเทพมหานคร. จุฬาลงกรณ์มหาวิทยาลัย, 2006. https://doi.org/10.58837/chula.res.2006.53.

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ระบบรถไฟฟ้าขนส่งมวลชนเป็นโครงสร้างพื้นฐานที่มีมูลค่าการลงทุนมหาศาล การที่จะดึงดูดผู้เดินทางให้เข้ามาใช้บริการได้เป็นเรื่องสำคัญ ซึ่งการส่งเสริมให้เกิดการเดินทางในระบบรางจะต้องมีระบบป้อนผู้โดยสารเข้ามาถึงสถานีที่มีประสิทธิภาพ การวิจัยจึงมีวัตถุประสงค์เพื่อตรวจสอบความพึงพอใจในรูปแบบการเดินทางที่ใช้ในการเข้าถึงสถานีรถไฟฟ้าขนส่งมวลชนในปัจจุบันของผู้เดินทางที่ใช้รถไฟฟ้า พร้อมทั้งหาปัจจัยที่มีอิทธิพลต่อความสามารถในการเข้าถึงสถานีรถไฟฟ้าขนส่งมวลชน และศึกษาถึงปัจจัยที่มีอิทธิพลต่อการเลือกรูปแบบการเดินเท้าและวิธีอื่นๆ เข้าสู่สถานีรถไฟฟ้าขนส่งมวลชนโดยการพัฒนาแบบจำลองพฤติกรรมการเลือกรูปแบบการเดินทาง (Mod
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Biesecker, Barbara, Melissa Raspa, Douglas Rupert, Rebecca Moultrie, Robert Furberg, and Lauren A. McCormack. Making Clinical Trials More Patient-Centered Using Digital Interactive E-Consent Tools. RTI Press, 2019. http://dx.doi.org/10.3768/rtipress.2019.op.0063.1910.

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Research participants are required to give their consent to participate in clinical trials and nonexempt government-funded studies. The goal is to facilitate participant understanding of the intent of the research, its voluntary nature, and the potential benefits and harms. Ideally, participants make an informed choice whether to participate; one that is based on having sufficient relevant knowledge and that is consistent with their values and preferences. Achieving this objective can be challenging, and as such, many scholars have declared the consent process flawed or “broken.” Moreover, cli
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Shaheen, Susan, Elliot Shaheen, Adam Cohen, Jacquelyn Broader, and Richard Davis. Managing the Curb: Understanding the Impacts of On-Demand Mobility on Public Transit, Micromobility, and Pedestrians. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.1904.

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In recent years, innovative mobility and shifts in travel and consumption behavior are changing how people access and use the curb. Shared mobility—the shared use of a vehicle, bicycle, scooter, or other mode—coupled with outdoor dining, curbside pick-up, and robotic delivery are creating new needs related to the planning, management, and enforcement of curb access. This study examines curb planning and management from several angles, such as safety, social equity, and multimodal connections. This research employs a multi-method approach to identify the changing needs for curb space management
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