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A Structured Logit Model of Auto Ownership and Mode Choice

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  1. Willson, Richard W., 1992. "Estimating the Travel and Parking Demand Effects of Employer-Paid Parking," University of California Transportation Center, Working Papers qt37p740qt, University of California Transportation Center.
  2. Whelan, Gerard, 2007. "Modelling car ownership in Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(3), pages 205-219, March.
  3. Zachary Burt & Rachel Sklar & Ashley Murray, 2019. "Costs and Willingness to Pay for Pit Latrine Emptying Services in Kigali, Rwanda," IJERPH, MDPI, vol. 16(23), pages 1-18, November.
  4. El-Hifnawi, M. B., 2002. "Cross-town bus routes as a solution for decentralized travel: a cost-benefit analysis for Monterrey, Mexico," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(2), pages 127-144, February.
  5. Safirova, Elena A. & Houde, Sébastien & Harrington, Winston, 2007. "Spatial Development and Energy Consumption," RFF Working Paper Series dp-07-51, Resources for the Future.
  6. Jennifer Roberts & Gurleen Popli & Rosemary J. Harris, 2018. "Do environmental concerns affect commuting choices?: hybrid choice modelling with household survey data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(1), pages 299-320, January.
  7. Santos-Pérez, Rubén., 2015. "Estimación de la demanda de uso de autos particulares en la zona metropolitana del valle de México: un análisis Tobit," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(21), pages 85-120, segundo s.
  8. Samir Ghazouani & Mohamed Goaïed, 1993. "Analyse micro-économétrique de la demande de transport urbain pour la ville de Tunis," Économie et Prévision, Programme National Persée, vol. 108(2), pages 47-62.
  9. Can, Vo Van, 2013. "Estimation of travel mode choice for domestic tourists to Nha Trang using the multinomial probit model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 149-159.
  10. Jeremy Webb & Max Briggs & Clevo Wilson, 2018. "Breaking automotive modal lock-in: a choice modelling study of Jakarta commuters," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 47-68, January.
  11. Hakim Hammadou & Claire Papaix, 2015. "Policy packages for modal shift and CO2 reduction in Lille, France," Working Papers 1501, Chaire Economie du climat.
  12. Voith, Richard, 1997. "Fares, Service Levels, and Demographics: What Determines Commuter Rail Ridership in the Long Run?," Journal of Urban Economics, Elsevier, vol. 41(2), pages 176-197, March.
  13. Giuliano, Genevieve & Dargay, Joyce, 2006. "Car ownership, travel and land use: a comparison of the US and Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 106-124, February.
  14. Zolfaghari, Alireza & Sivakumar, Aruna & Polak, John, 2013. "Simplified probabilistic choice set formation models in a residential location choice context," Journal of choice modelling, Elsevier, vol. 9(C), pages 3-13.
  15. Musti, Sashank & Kockelman, Kara M., 2011. "Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 707-720, October.
  16. Shenhao Wang & Baichuan Mo & Jinhua Zhao, 2020. "Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks," Papers 2010.11644, arXiv.org.
  17. Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
  18. Wang, Shenhao & Mo, Baichuan & Zhao, Jinhua, 2021. "Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 333-358.
  19. Smart, Michael J., 2014. "A volatile relationship: The effect of changing gasoline prices on public support for mass transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 178-185.
  20. Schuster, Monica & Vranken, Liesbet & Maertens, Miet, 2017. "You can(’t) always get the job you want: stated versus revealed employment preferences in the Peruvian agro-industry," IOB Working Papers 2017.04, Universiteit Antwerpen, Institute of Development Policy (IOB).
  21. Deka, Devajyoti, 2013. "An explanation of the relationship between adults’ work trip mode and children’s school trip mode through the Heckman approach," Journal of Transport Geography, Elsevier, vol. 31(C), pages 54-63.
  22. Orsi, Francesco & Geneletti, Davide, 2014. "Assessing the effects of access policies on travel mode choices in an Alpine tourist destination," Journal of Transport Geography, Elsevier, vol. 39(C), pages 21-35.
  23. Nolan, Anne, 2010. "A dynamic analysis of household car ownership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(6), pages 446-455, July.
  24. Shenhao Wang & Qingyi Wang & Jinhua Zhao, 2019. "Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data," Papers 1901.00227, arXiv.org, revised Aug 2019.
  25. Le Vine, Scott & Lee-Gosselin, Martin & Sivakumar, Aruna & Polak, John, 2013. "A new concept of accessibility to personal activities: development of theory and application to an empirical study of mobility resource holdings," Journal of Transport Geography, Elsevier, vol. 31(C), pages 1-10.
  26. David Perez Barbosa & Junyi Zhang & Hajime Seya, 2016. "Effects of the Residential Environment on Health in Japan Linked with Travel Behavior," IJERPH, MDPI, vol. 13(2), pages 1-23, February.
  27. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90260, University Library of Munich, Germany.
  28. Elisheba Spiller & Heather Stephens & Christopher Timmins & Allison Smith, 2014. "The Effect of Gasoline Taxes and Public Transit Investments on Driving Patterns," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 633-657, December.
  29. David Levine & Robert Levine, 2006. "Deterrence In The Cold War And The 'War On Terror'," Defence and Peace Economics, Taylor & Francis Journals, vol. 17(6), pages 605-617.
  30. Khordagui, Nagwa, 2019. "Parking prices and the decision to drive to work: Evidence from California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 479-495.
  31. Daisik Nam & Jaewoo Cho, 2020. "Deep Neural Network Design for Modeling Individual-Level Travel Mode Choice Behavior," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
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  33. Rachel Weinberger & Frank Goetzke, 2010. "Unpacking Preference: How Previous Experience Affects Auto Ownership in the United States," Urban Studies, Urban Studies Journal Limited, vol. 47(10), pages 2111-2128, September.
  34. Basnak, Paul & Giesen, Ricardo & Muñoz, Juan Carlos, 2020. "Technology choices in public transport planning: A classification framework," Research in Transportation Economics, Elsevier, vol. 83(C).
  35. Commins, Nicola & Nolan, Anne, 2011. "The determinants of mode of transport to work in the Greater Dublin Area," Transport Policy, Elsevier, vol. 18(1), pages 259-268, January.
  36. Javier D. Donna, 2021. "Measuring long‐run gasoline price elasticities in urban travel demand," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 945-994, December.
  37. Spiller, Elisheba & Stephens, Heather M. & Timmins, Christopher & Smith, Allison, 2012. "Does the Substitutability of Public Transit Affect Commuters’ Response to Gasoline Price Changes?," RFF Working Paper Series dp-12-29, Resources for the Future.
  38. Hüner, E. & Smit, H.P., 1990. "Saturation and model specification of passenger car ownership," Serie Research Memoranda 0017, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  39. Arne R. Hole & Felix R. FitzRoy, 2003. "Commuting in small towns in rural areas: the case of St Andrews," Urban/Regional 0312001, University Library of Munich, Germany, revised 12 Apr 2004.
  40. Lahiri, Kajal & Gao, Jian, 2002. "Bayesian analysis of nested logit model by Markov chain Monte Carlo," Journal of Econometrics, Elsevier, vol. 111(1), pages 103-133, November.
  41. Salon, Deborah, 2006. "Cars and the City: An Investigation of Transportation and Residential Location Choices in New York City," University of California Transportation Center, Working Papers qt1br223vz, University of California Transportation Center.
  42. Jan U. Becker & Sönke Albers, 2016. "The limits of analyzing service quality data in public transport," Transportation, Springer, vol. 43(5), pages 823-842, September.
  43. Chiou, Yu-Chiun & Wen, Chieh-Hua & Tsai, Shih-Hsun & Wang, Wei-Ying, 2009. "Integrated modeling of car/motorcycle ownership, type and usage for estimating energy consumption and emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 665-684, August.
  44. Bento, Antonio M. & Cropper, Maureen L. & Mobarak, Ahmed Mushfiq & Vinha, Katja, 2003. "The impact of urban spatial structure on travel demand in the United States," Policy Research Working Paper Series 3007, The World Bank.
  45. Abu Oakil & Dick Ettema & Theo Arentze & Harry Timmermans, 2014. "Changing household car ownership level and life cycle events: an action in anticipation or an action on occurrence," Transportation, Springer, vol. 41(4), pages 889-904, July.
  46. Rudolph, Christian, 2016. "How may incentives for electric cars affect purchase decisions?," Transport Policy, Elsevier, vol. 52(C), pages 113-120.
  47. Wang, Shenhao & Wang, Qingyi & Bailey, Nate & Zhao, Jinhua, 2021. "Deep neural networks for choice analysis: A statistical learning theory perspective," Transportation Research Part B: Methodological, Elsevier, vol. 148(C), pages 60-81.
  48. Shenhao Wang & Qingyi Wang & Nate Bailey & Jinhua Zhao, 2018. "Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective," Papers 1810.10465, arXiv.org, revised Sep 2019.
  49. Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
  50. Tovar, Miguel A., 2011. "An integral evaluation of dieselisation policies for households' cars," Energy Policy, Elsevier, vol. 39(9), pages 5228-5242, September.
  51. Su, Qing & Zhou, Liren, 2012. "Parking management, financial subsidies to alternatives to drive alone and commute mode choices in Seattle," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 88-97.
  52. Zhi (Aaron) Cheng & Min-Seok Pang & Paul A. Pavlou, 2020. "Mitigating Traffic Congestion: The Role of Intelligent Transportation Systems," Information Systems Research, INFORMS, vol. 31(3), pages 653-674, September.
  53. Mingzhu Song & Yi Zhang & Meng Li & Yi Zhang, 2021. "Accessibility of Transit Stops with Multiple Feeder Modes: Walking and Private-Bike Cycling," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
  54. Viteri Mejía, César & Brandt, Sylvia, 2015. "Managing tourism in the Galapagos Islands through price incentives: A choice experiment approach," Ecological Economics, Elsevier, vol. 117(C), pages 1-11.
  55. Kanninen, Barbara J., 1996. "Intelligent transportation systems: An economic and environmental policy assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(1), pages 1-10, January.
  56. Shiau, Ching-Shin Norman & Michalek, Jeremy J. & Hendrickson, Chris T., 2009. "A structural analysis of vehicle design responses to Corporate Average Fuel Economy policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(9-10), pages 814-828, November.
  57. Wang, Shenhao & Wang, Qingyi & Zhao, Jinhua, 2020. "Multitask learning deep neural networks to combine revealed and stated preference data," Journal of choice modelling, Elsevier, vol. 37(C).
  58. Temme, Dirk & Paulssen, Marcel & Dannewald, Till, 2007. "Integrating latent variables in discrete choice models: How higher-order values and attitudes determine consumer choice," SFB 649 Discussion Papers 2007-065, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
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  60. Qingyi Wang & Shenhao Wang & Yunhan Zheng & Hongzhou Lin & Xiaohu Zhang & Jinhua Zhao & Joan Walker, 2023. "Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?," Papers 2303.04204, arXiv.org, revised Feb 2024.
  61. Bhat, Chandra R., 1998. "Accommodating flexible substitution patterns in multi-dimensional choice modeling: formulation and application to travel mode and departure time choice," Transportation Research Part B: Methodological, Elsevier, vol. 32(7), pages 455-466, September.
  62. He, Sylvia Y. & Thøgersen, John, 2017. "The impact of attitudes and perceptions on travel mode choice and car ownership in a Chinese megacity: The case of Guangzhou," Research in Transportation Economics, Elsevier, vol. 62(C), pages 57-67.
  63. John Eakins, 2013. "The Determinants of Household Car Ownership: Empirical Evidence from the Irish Household Budget Survey," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 144, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
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  76. Jochem, Patrick & Lisson, Christopher & Khanna, Arpita Asha, 2021. "The role of coordination costs in mode choice decisions: A case study of German cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 31-44.
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