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Estimation of crowding discomfort in public transport: Results from Santiago de Chile

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  1. Tiznado-Aitken, Ignacio & Muñoz, Juan Carlos & Hurtubia, Ricardo, 2021. "Public transport accessibility accounting for level of service and competition for urban opportunities: An equity analysis for education in Santiago de Chile," Journal of Transport Geography, Elsevier, vol. 90(C).
  2. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
  3. Varghese, Varun & Moniruzzaman, Md. & Chikaraishi, Makoto, 2023. "Environmental sustainability or equity in welfare? Analysing passenger flows of a mass rapid transit system with heterogeneous demand," Research in Transportation Economics, Elsevier, vol. 97(C).
  4. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
  5. Aghabayk, Kayvan & Esmailpour, Javad & Shiwakoti, Nirajan, 2021. "Effects of COVID-19 on rail passengers’ crowding perceptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 186-202.
  6. Arbex, Renato & Cunha, Claudio B., 2020. "Estimating the influence of crowding and travel time variability on accessibility to jobs in a large public transport network using smart card big data," Journal of Transport Geography, Elsevier, vol. 85(C).
  7. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
  8. Anne Halvorsen & Haris N. Koutsopoulos & Zhenliang Ma & Jinhua Zhao, 2020. "Demand management of congested public transport systems: a conceptual framework and application using smart card data," Transportation, Springer, vol. 47(5), pages 2337-2365, October.
  9. Prateek Bansal & Daniel Horcher & Daniel J. Graham, 2020. "A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding," Papers 2007.03682, arXiv.org.
  10. Lin, Joanne Yuh-Jye & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak & Chen, Cynthia, 2023. "The equity of public transport crowding exposure," Journal of Transport Geography, Elsevier, vol. 110(C).
  11. Tirachini, Alejandro & Proost, Stef, 2021. "Transport taxes and subsidies in developing countries: The effect of income inequality aversion," Economics of Transportation, Elsevier, vol. 25(C).
  12. Liu, Yang & Feng, Tao & Shi, Zhuangbin & He, Mingwei, 2022. "Understanding the route choice behaviour of metro-bikeshare users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 460-475.
  13. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
  14. Yu, Chao & Li, Haiying & Xu, Xinyue & Liu, Jun, 2020. "Data-driven approach for solving the route choice problem with traveling backward behavior in congested metro systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
  15. Wang, Bin & Zacharias, John, 2020. "Noise, odor and passenger density in perceived crowding in public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 215-223.
  16. Guevara, C. Angelo & Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs, 2020. "Correcting for endogeneity due to omitted crowding in public transport choice using the Multiple Indicator Solution (MIS) method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 472-484.
  17. Basnak, Paul & Giesen, Ricardo & Muñoz, Juan Carlos, 2022. "Estimation of crowding factors for public transport during the COVID-19 pandemic in Santiago, Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 140-156.
  18. Jenelius, Erik, 2018. "Public transport experienced service reliability: Integrating travel time and travel conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 275-291.
  19. Basso, Leonardo J. & Montero, Juan-Pablo & Sepúlveda, Felipe, 2021. "A practical approach for curbing congestion and air pollution: Driving restrictions with toll and vintage exemptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 330-352.
  20. Junya Kumagai & Mihoko Wakamatsu & Shunsuke Managi, 2021. "Do commuters adapt to in-vehicle crowding on trains?," Transportation, Springer, vol. 48(5), pages 2357-2399, October.
  21. Menno Yap & Oded Cats, 2021. "Predicting disruptions and their passenger delay impacts for public transport stops," Transportation, Springer, vol. 48(4), pages 1703-1731, August.
  22. Yap, Menno & Cats, Oded, 2021. "Taking the path less travelled: Valuation of denied boarding in crowded public transport systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 1-13.
  23. Rossetti, Tomás & Broaddus, Andrea & Ruhl, Melissa & Daziano, Ricardo, 2023. "Commuter preferences for a first-mile/last-mile microtransit service in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
  24. Zhang, Junlin & Yang, Hai & Lindsey, Robin & Li, Xinwei, 2020. "Modeling and managing congested transit service with heterogeneous users under monopoly," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 249-266.
  25. Rossetti, Tomás & Hurtubia, Ricardo, 2020. "An assessment of the ecological validity of immersive videos in stated preference surveys," Journal of choice modelling, Elsevier, vol. 34(C).
  26. Bansal, Prateek & Kessels, Roselinde & Krueger, Rico & Graham, Daniel J., 2022. "Preferences for using the London Underground during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 45-60.
  27. Tiznado-Aitken, Ignacio & Lucas, Karen & Muñoz, Juan Carlos & Hurtubia, Ricardo, 2020. "Understanding accessibility through public transport users' experiences: A mixed methods approach," Journal of Transport Geography, Elsevier, vol. 88(C).
  28. Arellana, J. & Garzón, L. & Estrada, J. & Cantillo, V., 2020. "On the use of virtual immersive reality for discrete choice experiments to modelling pedestrian behaviour," Journal of choice modelling, Elsevier, vol. 37(C).
  29. Basnak, Paul & Giesen, Ricardo, 2023. "Assessing free-fare public transport in Chilean cities through optimization models," Research in Transportation Economics, Elsevier, vol. 98(C).
  30. Márquez, Luis & Alfonso A, Julieth V. & Poveda, Juan C., 2019. "In-vehicle crowding: Integrating tangible attributes, attitudes, and perceptions in a choice context between BRT and metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 452-465.
  31. Soza-Parra, Jaime & Raveau, Sebastián & Muñoz, Juan Carlos & Cats, Oded, 2019. "The underlying effect of public transport reliability on users’ satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 83-93.
  32. Chen, Xin & Jiang, Yu & Bláfoss Ingvardson, Jesper & Luo, Xia & Anker Nielsen, Otto, 2023. "I can board, but I’d rather wait: Active boarding delay choice behaviour analysis using smart card data in metro systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
  33. Rossetti, Tomás & Yoon, So-Yeon & Daziano, Ricardo A., 2022. "Social distancing and store choice in times of a pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
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