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Journal articles on the topic 'Stated preference data'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Larson, Douglas M., Sabina L. Shaikh, and David F. Layton. "Revealing Preferences for Leisure Time from Stated Preference Data." American Journal of Agricultural Economics 86, no. 2 (2004): 307–20. http://dx.doi.org/10.1111/j.0092-5853.2004.00580.x.

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2

Hassanvand, Mina. "Stated Preference Data & Alogit." International Journal of Software Engineering & Applications 11, no. 6 (2020): 1–16. http://dx.doi.org/10.5121/ijsea.2020.11601.

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Stated Preference (SP) surveys are a form of experimental surveys in which the respondent states his/her preferences towards to an alternative out of a set of alternatives that they are presented with. The process of analysing the data collected and estimating the utility of the alternatives under investigation found through such surveys, depending on the nature of the survey design and its underlying details, can be time consuming and cumbersome. If the data is to be studied using logit models, the ALOGIT software can be used which is a powerful tool used for utility maximization and estimati

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Barber, S., S. Pavitt, B. Khambay, H. Bekker, and D. Meads. "Eliciting Preferences in Dentistry with Multiattribute Stated Preference Methods: A Systematic Review." JDR Clinical & Translational Research 3, no. 4 (2018): 326–35. http://dx.doi.org/10.1177/2380084418780324.

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Background: Preference experiments are used to understand how patients and stakeholders value aspects of health care. These methods are gaining popularity in dentistry, but quality and breadth of use have not been evaluated. Objectives: To describe multiattribute stated preference experiment use in dentistry through illustration and critique of existing studies. Data Sources: Systematic literature search of PubMed, Econlit and Ovid for Medline, Embase, PsychINFO, PsychARTICLES, and All EBM Reviews, as well as gray literature. Study Eligibility: Multiattribute stated preference experiments elic

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Jeon, Hocheol, and Joseph A. Herriges. "Combining Revealed Preference Data with Stated Preference Data: A Latent Class Approach." Environmental and Resource Economics 68, no. 4 (2016): 1053–86. http://dx.doi.org/10.1007/s10640-016-0060-0.

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Abegaz, Dereje, Katrine Hjorth, and Jeppe Rich. "Testing the slope model of scheduling preferences on stated preference data." Transportation Research Part B: Methodological 104 (October 2017): 409–36. http://dx.doi.org/10.1016/j.trb.2017.08.001.

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Robitaille, Marie-Claire, and Ishita Chatterjee. "Do spouses influence each other's stated son preference?" Indian Growth and Development Review 13, no. 3 (2020): 561–88. http://dx.doi.org/10.1108/igdr-06-2018-0062.

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Purpose This paper aims to understand the motivations behind married men preferring sons and to quantify the association between a couple’s stated son preferences. Son preference is an endemic problem in India. With half a million female foetuses aborted each year, the root causes of son preference in India have been widely studied. Little is known, however, on how couples mutually decide on their desired child sex-ratio. Design/methodology/approach Using data from the third National Family and Health Survey, the authors apply three-stage least square and optimal general method of moment metho

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González, J. M., C. Poulos, and P. Mollon. "Understanding Medication Adherence Using Stated-Preference Data." Value in Health 17, no. 7 (2014): A492—A493. http://dx.doi.org/10.1016/j.jval.2014.08.1460.

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Laba, Tracey-Lea, Beverley Essue, Merel Kimman, and Stephen Jan. "Understanding Patient Preferences in Medication Nonadherence: A Review of Stated Preference Data." Patient - Patient-Centered Outcomes Research 8, no. 5 (2014): 385–95. http://dx.doi.org/10.1007/s40271-014-0099-3.

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Farasa, Nisa. "PERBEDAAN PREFERENSI ANTARA STATED PREFERENCE DAN REVEALED PREFERENCE DEWASA MUDA TERHADAP RUMAH TINGGAL." Jurnal Koridor 8, no. 2 (2017): 126–31. http://dx.doi.org/10.32734/koridor.v8i2.1338.

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Rumah sebagai kebutuhan utama manusia di mana rumah juga sebagai tempat sarana pembinaan keluarga. Di dalam rumah terjadi banyak kegiatan yang juga dapat menggambarkan fungsi dari rumah. Fungsi rumah ini erat kaitannya dengan siklus hidup manusia dimana mereka memasuki fase-fase hidup mereka. Seiring dengan perkembangan jaman, fungsi rumah tinggal kini tergantung pada persepsi penghuninya. Preferensi orang terhadap hunian kini berkembang mengikuti keinginan masing- masing calon penghuni baik dari kalangan orang tua maupun dewasa muda. Begitu juga dengan yang belum memiliki rumah maupun yang su

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10

Loo, Becky P. Y., S. C. Wong, and Timothy D. Hau. "Choice or Rank Data in Stated Preference Surveys?" Open Transportation Journal 2, no. 1 (2008): 74–79. http://dx.doi.org/10.2174/1874447800802010074.

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11

Fujiwara, Akimasa, and Yoriyagu Sugie. "The Stability and Reliability of Stated Preference Data." Journal of the City Planning Institute of Japan 25 (October 25, 1990): 103–8. http://dx.doi.org/10.11361/journalcpij.25.103.

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12

Whitehead, John C. "Albemarle–Pamlico Sounds revealed and stated preference data." Data in Brief 3 (June 2015): 90–94. http://dx.doi.org/10.1016/j.dib.2015.01.006.

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13

Lam, Soi-Hoi, and Feng Xie. "Transit Path-Choice Models That Use Revealed Preference and Stated Preference Data." Transportation Research Record: Journal of the Transportation Research Board 1799, no. 1 (2002): 58–65. http://dx.doi.org/10.3141/1799-08.

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14

IUAN HO, CHAANG. "USING STATED PREFERENCE DATA TO EXPLORE THE FACTORS AFFECTING TOURISTS’ CRUISE VACATION PREFERENCES." ASEAN Journal on Hospitality and Tourism 4, no. 1 (2005): 15. http://dx.doi.org/10.5614/ajht.2005.4.1.02.

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15

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 analytic

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Liu, Chun-Wen, and Chao Deng. "Stated preferences of Taiwanese investors for financial products." Qualitative Research in Financial Markets 11, no. 4 (2019): 411–28. http://dx.doi.org/10.1108/qrfm-06-2018-0079.

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Purpose The popularity of wealth management in Taiwan has unleashed tense competition among financial advisors. Consumers are now more conscious of their financial services purchasing behavior. This paper aims to provide insights into local-specific investors’ characteristics and consumers’ financial product preferences and to introduce a different concept to identify localization-suitable products. Design/methodology/approach To understand customers’ preferred products, the paper examines consumers’ financial behavior by analyzing preference characteristics using data collected from Taiwanese

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Matzo, Marianne, and Kamal Hijjazi. "There's no Place like Home: Oklahoman's Preferences for Site of Death." Palliative Care: Research and Treatment 1 (January 2008): PCRT.S1058. http://dx.doi.org/10.4137/pcrt.s1058.

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Objective This study sought to document Oklahomans knowledge, attitudes, and behaviors regarding palliative care; this paper focuses on subjects stated preferences for where they would choose to die. Design Quantitative study used a random state-wide telephone sample of Oklahoma residents. Subjects Data from 804 residents in the State of Oklahoma between November and December (2005). Results An overwhelming majority of the respondents (80%) reported preference to die at home in the event that they suffer a terminal illness. The proportion of respondents under the age of 65 who preferred to die

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18

Liu, Rongfang, Ram M. Pendyala, and Steven Polzin. "Assessment of Intermodal Transfer Penalties Using Stated Preference Data." Transportation Research Record: Journal of the Transportation Research Board 1607, no. 1 (1997): 74–80. http://dx.doi.org/10.3141/1607-11.

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Since the passage of the Intermodal Surface Transportation Efficiency Act of 1991 there has been an increasing interest in the planning and design of an intermodal passenger transportation system. It has long been recognized that modal transfer has a certain penalty associated with it. The recent surge in intermodal planning merits an in-depth examination and accurate measurement of the penalties associated with transfers between modes. Current planning procedures usually involve an ad hoc treatment of transfer penalties based on various assumptions of wait time and value of time. To better as

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19

de Bekker-Grob, E. W., B. Donkers, M. C. J. Bliemer, J. Veldwijk, and J. D. Swait. "Can healthcare choice be predicted using stated preference data?" Social Science & Medicine 246 (February 2020): 112736. http://dx.doi.org/10.1016/j.socscimed.2019.112736.

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Veldwijk, Jorien, Tommi Tervonen, Esther de Bekker-Grob, Brett Hauber, and Catharina G. M. Groothuis-Oudshoorn. "OP01 Convergent Validity Between Discrete Choice Experiment And Other Stated Preference Methods: A Multistudy Comparison." International Journal of Technology Assessment in Health Care 38, S1 (2022): S1. http://dx.doi.org/10.1017/s0266462322000617.

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IntroductionTo assess convergent validity of stated preference methods in studies where they were used to elicit patient preferences for informing medical product decisions.MethodsIn four studies, two stated preference methods were used to elicit preferences of patients with neuromuscular diseases (NMD; n = 140, Discrete Choice Experiment [DCE] and Best-Worst Scaling [BWS] case 2), diabetes (n = 495, DCE and swing weighting [SW]), myocardial infarction (MI; n = 335, DCE and BWS case 1), and rheumatoid arthritis (RA; n = 982, DCE and probabilistic threshold technique [PTT]). In each study, resu

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21

Bonnichsen, Ole, and Jacob Ladenburg. "Reducing Status Quo Bias in Choice Experiments." Nordic Journal of Health Economics 3, no. 1 (2015): 47–67. http://dx.doi.org/10.5617/njhe.645.

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To secure the validity and applicability of stated preference measures in economic analysis, hypothetical preferences must mimic real life preferences. For instance, people have a propensity to prefer what they already have when presented with alternatives that, all things being equal, seem to be superior, i.e. a status quo effect. However, in the stated preference literature, the tendency to choose the alternative representing the status quo situation seems to exceed real life status quo effects. Accordingly, status quo bias can be a problem. In the Choice Experiment literature, status quo bi

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22

Yuzawa, Akira, and Hiroshi Suda. "A Comparative Study of Stated Preference data and Revealed Preference data, and Appropriateness of the Prominence Hypothesis." Journal of the City Planning Institute of Japan 25 (October 25, 1990): 571–76. http://dx.doi.org/10.11361/journalcpij.25.571.

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23

Li, Zheng, David A. Hensher, and Chinh Ho. "An empirical investigation of values of travel time savings from stated preference data and revealed preference data." Transportation Letters 12, no. 3 (2018): 166–71. http://dx.doi.org/10.1080/19427867.2018.1546806.

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24

Bellizzi, Maria Grazia, Carmen Forciniti, and Gabriella Mazzulla. "A Stated Preference Survey for Evaluating Young Pedestrians’ Preferences on Walkways." Sustainability 13, no. 22 (2021): 12434. http://dx.doi.org/10.3390/su132212434.

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For promoting pedestrian mobility, the quality levels of pedestrian paths should be increased. Many researchers suggest methodologies for determining the pedestrian level of service. Among these, some studies consider both paths’ physical characteristics and users’ perception about the walkways. Investigating users’ perceptions represents a good strategy for implementing interventions aimed at increasing the quality of service. The aim is recording pedestrians’ perceptions about the characteristics of the path and detecting the choices they would make in a hypothetical scenario. This work prop

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Phaneuf, D. J., L. O. Taylor, and J. B. Braden. "Combining Revealed and Stated Preference Data to Estimate Preferences for Residential Amenities: A GMM Approach." Land Economics 89, no. 1 (2012): 30–52. http://dx.doi.org/10.3368/le.89.1.30.

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26

McCluskey, Jill J., Catherine A. Durham, and Brady P. Horn. "Consumer Preferences for Socially Responsible Production Attributes Across Food Products." Agricultural and Resource Economics Review 38, no. 3 (2009): 345–56. http://dx.doi.org/10.1017/s1068280500009606.

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This study examines consumer preferences for three socially responsible products: minimal-pesticide strawberries, fair-trade bananas, and milk from pasture-fed cows. In-person survey data were collected in four states. Understanding preferences for these characteristics is difficult because they may appeal to different individuals depending on their personal attitudes and values. To address this issue, health, environmental and other attitudes are measured based on survey questions. Responses to these questions are used to produce explanatory factor scores. Stated preference models, both with

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TAKADA, Kazuyuki, Makoto FUJIU, Miho OHARA, Tomohisa YAMASHITA, and Takahiro KONNO. "Estimation of Disaster Evacuation Behavior Model using Stated Preference Data." Journal of JAEE 16, no. 5 (2016): 5_46–5_55. http://dx.doi.org/10.5610/jaee.16.5_46.

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28

Ciobotaru, Laurentiu-Cristian, Sul Kim, and Arthur van Soest. "Household Preferences for Investing in Crowdfunding." De Economist 169, no. 4 (2021): 499–522. http://dx.doi.org/10.1007/s10645-021-09395-0.

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AbstractUsing representative survey data on the Dutch population, we analyze households’ actual participation and stated preferences for crowdfunding involvement at the extensive and intensive margin, with emphasis on the relation with investing in socially responsible assets. We find that crowdfunding investors are higher educated and more future oriented than others, whereas risk aversion plays a negative but insignificant role. Financial literacy is positively associated with knowing about crowdfunding, but not with actual participation. A stated choice preference experiment largely confirm

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Whitaker, Bethany, George Terzis, Eddie Soong, and Wayne Yeh. "Stated Preference as a Tool to Evaluate Airline Passenger Preferences and Priorities." Transportation Research Record: Journal of the Transportation Research Board 1915, no. 1 (2005): 55–61. http://dx.doi.org/10.1177/0361198105191500107.

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Stated preference (SP) analysis is a technique widely used by market research and transportation professionals to understand decision-making behavior and consumer choice models. This discussion covers the role of SP as a tool to enhance understanding of air travelers’ preferences and priorities for airline services and the potential for SP research to play a greater role in product development and demand forecasting for different types of airline services. Two case studies of previously conducted research for a major airline in Asia are used to explore how SP data have been used to evaluate pa

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Gillig, Dhazn, Richard Woodward, Teofilo Ozuna, and Wade L. Griffin. "Joint Estimation of Revealed and Stated Preference Data: An Application to Recreational Red Snapper Valuation." Agricultural and Resource Economics Review 32, no. 2 (2003): 209–21. http://dx.doi.org/10.1017/s1068280500005980.

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This study extends the joint estimation of revealed and stated preference data literature by accounting for truncation in the revealed preference data. The analytical model and estimation procedure are used to estimate the value of recreational red snapper fishing in the Gulf of Mexico. This recreational red snapper valuation is decomposed into its direct and indirect components. As expected, the value of recreational red snapper fishing using the joint revealed-stated preference model proposed in this analysis is bracketed on the upper limit by the value obtained using the contingent valuatio

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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

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Nurfadlilawati, Ilma, and Hanson E. Kusuma. "Housing Attribute Preferences in Bandung City." DIMENSI (Journal of Architecture and Built Environment) 51, no. 1 (2024): 8–16. http://dx.doi.org/10.9744/dimensi.51.1.8-16.

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Each generation encounters distinct social, economic, cultural, and technological contexts specific to their era. Moreover, their lifestyles vary, resulting in disparate housing preferences. This study analyzes five housing attribute preferences of Generation X, Generation Y, and Generation Z: Economic attribute, location and accessibility attribute, physical attribute, environment attribute, and social attribute. The research uses a stated preference approach. The study uses a mixed method and a stated preference approach while collecting data by online questionnaire. Three analytical techni

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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 Pre

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Resdiansyah. "Travel mode choice preferences of urban commuters in Kuching City, Malaysia based on stated preference data." MATEC Web of Conferences 181 (2018): 02007. http://dx.doi.org/10.1051/matecconf/201818102007.

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One aspect of Kuching City that has not progressed in tandem with the rest of the city is the public transport system, which is relatively old and almost non-existent. Transport and City planners seem to be at their wit’s end in coming up with satisfactory solutions to Kuching’s public transportation woes. In current situation, many proposals, but none have proven workable. As a result, representative buses remain a rare sight on Kuching city’s roads. To achieve a sustainable public transport industry, the old buses need to be regenerated and replaced with modern buses. The objectives of the i

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Bir, Courtney, Michael Delgado, and Nicole Widmar. "Development, Implementation, and Evaluation of a More Efficient Method of Best-Worst Scaling Data Collection." Agricultural and Resource Economics Review 51, no. 1 (2022): 178–201. http://dx.doi.org/10.1017/age.2021.27.

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AbstractDiscrete choice experiments are used to collect data that facilitates measurement and understanding of consumer preferences. A sample of 750 respondents was employed to evaluate a new method of best-worst scaling data collection. This new method decreased the number of attributes and questions while discerning preferences for a larger set of attributes through self-stated preference “filter” questions. The new best-worst method resulted in overall equivalent rates of transitivity violations and lower incidences of attribute non-attendance than standard best-worst scaling designs. The n

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Algers, Staffan, and Muriel Beser. "Modelling choice of flight and booking class - a study using Stated Preference and Revealed Preference data." International Journal of Services Technology and Management 2, no. 1/2 (2001): 28. http://dx.doi.org/10.1504/ijstm.2001.001589.

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Fujiwara, Akimasa, and Yoriyasu Sugie. "The Reliability of Mode Choice Model Based on Stated Preference Data." INFRASTRUCTURE PLANNING REVIEW 8 (1990): 49–56. http://dx.doi.org/10.2208/journalip.8.49.

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38

SUGIE, Yoriyasu, Eiji HATO, and Akimasa FUJIWARA. "Dynamic Analysis of Stated Preference for Travel Modes Using Panel Data." INFRASTRUCTURE PLANNING REVIEW 10 (1992): 31–38. http://dx.doi.org/10.2208/journalip.10.31.

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SUGIE, Yoriyasu, Akimasa FUJIWARA, and Hironori YAMANE. "A Correcting Method of Attrition Bias in Stated Preference Panel Data." INFRASTRUCTURE PLANNING REVIEW 11 (1993): 311–18. http://dx.doi.org/10.2208/journalip.11.311.

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FUJII, Satoshi, and Tommy GÄRLING. "Rethinking the Role of Stated Preference Data in Travel Demand Forecasting." Doboku Gakkai Ronbunshu, no. 723 (2003): 1–14. http://dx.doi.org/10.2208/jscej.2003.1.

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Katsikopoulos, Konstantinos V., Duse-Anthony Yawa, Donald L. Fisher, and Susan A. Duffy. "Advanced Travel Time Information and Drivers' Route Choice: Stated Preference Data." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 43, no. 18 (1999): 967–71. http://dx.doi.org/10.1177/154193129904301805.

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WHITEHEAD, JOHN C., CHRISTOPHER F. DUMAS, JIM HERSTINE, JEFFERY HILL, and BOB BUERGER. "Valuing Beach Access and Width with Revealed and Stated Preference Data." Marine Resource Economics 23, no. 2 (2008): 119–35. http://dx.doi.org/10.1086/mre.23.2.42629607.

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Grijalva, Therese, Alok K. Bohara, and Robert P. Berrens. "A seemingly unrelated Poisson model for revealed and stated preference data." Applied Economics Letters 10, no. 7 (2003): 443–46. http://dx.doi.org/10.1080/1350485032000082018b.

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Hong, Meenchee, Sizhong Sun, Rabiul Beg, and Zhang-Yue Zhou. "Chinese Muslim’s choice of halal products: evidence from stated preference data." Journal of the Asia Pacific Economy 25, no. 4 (2020): 696–717. http://dx.doi.org/10.1080/13547860.2019.1701827.

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Whitehead, John C., Melissa S. Weddell, and Peter A. Groothuis. "MITIGATING HYPOTHETICAL BIAS IN STATED PREFERENCE DATA: EVIDENCE FROM SPORTS TOURISM." Economic Inquiry 54, no. 1 (2015): 605–11. http://dx.doi.org/10.1111/ecin.12253.

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Unterberger, Christian, and Roland Olschewski. "Stated preference data on the insurance value of forests in Switzerland." Data in Brief 33 (December 2020): 106466. http://dx.doi.org/10.1016/j.dib.2020.106466.

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Pamela, Sofia, Hanson E. Kusuma, and Annisa Safira. "Tiga Aspek Preferensi Pengguna Coworking Space dengan Pendekatan Stated Preference: Desain, Pelayanan, dan Kualitas Lingkungan Ruang Dalam." Review of Urbanism and Architectural Studies 19, no. 2 (2021): 74–83. http://dx.doi.org/10.21776/ub.ruas.2021.019.02.7.

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The growing number of Coworking Space is one of the phenomena that occurred in the 4.0 industrial era. This is due to changes in work activity model that can be done anywhere with simple devices. The study aims to see the preference of users towards Coworking Space. The research method is qualitative using a grounded theory approach. Data collection was carried out by distributing online questionnaires with open-ended questions and a non-random sampling technique. Data were analyzed using content analysis method, namely open coding. The preference model used is stated preference. The result of

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Sandorf, Erlend Dancke, Kristine Grimsrud, and Henrik Lindhjem. "Ponderous, Proficient or Professional? Survey Experience and Smartphone Effects in Stated Preference Research." Environmental and Resource Economics 81, no. 4 (2022): 807–32. http://dx.doi.org/10.1007/s10640-022-00654-5.

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AbstractStated preference surveys are increasingly conducted online using internet panel samples, where a fast-growing share of respondents answer on smartphones. These panel members range from novices to “professionals” in terms of previous survey experience. Little is known about the potential effects of smartphone responding and survey experience on the data quality of stated preference surveys. This paper uses a discrete choice experiment dataset on the Norwegian population’s willingness to pay to plant climate forests to explore how these two factors affect data quality. These data by typ

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Haley, M. Ryan, and Laurie A. Miller. "Worker Preferences for Flexible Working Arrangements in Prospective Jobs." Business and Economic Research 12, no. 1 (2022): 28. http://dx.doi.org/10.5296/ber.v12i1.19438.

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We apply probit analysis to respondent-level data reported in the 2008 National Study of the Changing Workforce to decompose respondents' stated preference for workplace flexibilities. We base our analysis on a unique question that asks workers how much they would value workplace flexibilities if they were searching for a new job. The data are very detailed, which allows us to include an array of covariates that may account for the observed variation in flexibility preferences. Covariates such as gender, number of children under the age of 18, sleep problems, work-family conflict, and stress a

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Thiene, Mara, Cristiano Franceschinis, and Riccardo Scarpa. "Congestion management in protected areas: accounting for respondents’ inattention and preference heterogeneity in stated choice data." European Review of Agricultural Economics 46, no. 5 (2018): 834–61. http://dx.doi.org/10.1093/erae/jby041.

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Abstract Congestion levels in protected areas can be predicted by destination choice models estimated from choice data. There is growing evidence of subjects’ inattention to attributes in choice experiments. We estimate an attribute non-attendance latent class–random parameters model (LC–RPL) that jointly handles inattention and preference heterogeneity. We use data from a choice experiment designed to elicit visitors’ preferences towards sustainable management of a protected area in the Italian Alps. Results show that the LC–RPL model produces improvements in model fit and reductions in the i

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