IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v147y2024icp259-270.html
   My bibliography  Save this article

How individual perceptions of transportation systems influence mode choice for mobility-challenged people: A case study in Dhaka using an integrated choice and latent variable model

Author

Listed:
  • Mohiuddin, Hossain
  • Bhuiya, Md Musfiqur Rahman
  • Hasan, Md Musleh Uddin
  • Jamme, Huê-Tâm

Abstract

This study examines how mobility-challenged persons (MCPs) navigate the limitations of transportation systems, using an integrated choice and latent variable (ICLV) model. Building on the experience of MCPs in a South Asian megacity context, that of Dhaka, Bangladesh, the empirical strategy accounts for perceptions of mode-specific challenges, which arguably vary by mobility impairment. These perceptions are posited as latent variables. Drawing on survey data collected from 400 MCPs living in Dhaka, the latent variables were constructed via a factor analysis of 18 statements about the experienced severity (ranked on a scale from 1 to 5) of mode-specific challenges. Holding socio-demographic and travel-related factors constant, we find that perceptions of mode-specific challenges significantly influence mode choices – while the degree of impairment alone, and related mobility aid needed, do not. Perceived limitations of the walking infrastructure shift MCPs' travel demand towards the bus, whereas bus fare-related issues encourage the use of non-motorized and powered three-wheelers. We recommend that mode choice models include latent variables related to MCPs’ perceptions of various modes to more accurately inform universal access policies.

Suggested Citation

  • Mohiuddin, Hossain & Bhuiya, Md Musfiqur Rahman & Hasan, Md Musleh Uddin & Jamme, Huê-Tâm, 2024. "How individual perceptions of transportation systems influence mode choice for mobility-challenged people: A case study in Dhaka using an integrated choice and latent variable model," Transport Policy, Elsevier, vol. 147(C), pages 259-270.
    • Handle: RePEc:eee:trapol:v:147:y:2024:i:c:p:259-270
    DOI: 10.1016/j.tranpol.2023.12.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X23003451
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2023.12.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    2. Hélène Bouscasse, 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers hal-01795630, HAL.
    3. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    4. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    5. Hossain Mohiuddin, 2021. "Planning for the First and Last Mile: A Review of Practices at Selected Transit Agencies in the United States," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    6. Jian Chen & Shoujie Li, 2017. "Mode Choice Model for Public Transport with Categorized Latent Variables," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-11, August.
    7. Mohammad Paydar & Asal Kamani Fard, 2021. "The Contribution of Socio-Demographic Factors to Walking Behavior Considering Destination Types; Case Study: Temuco, Chile," Social Sciences, MDPI, vol. 10(12), pages 1-13, December.
    8. Aarhaug, Jørgen & Elvebakk, Beate, 2015. "The impact of Universally accessible public transport–a before and after study," Transport Policy, Elsevier, vol. 44(C), pages 143-150.
    9. Schmöcker, Jan-Dirk & Quddus, Mohammed A. & Noland, Robert B. & Bell, Michael G.H., 2008. "Mode choice of older and disabled people: a case study of shopping trips in London," Journal of Transport Geography, Elsevier, vol. 16(4), pages 257-267.
    10. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    11. Hossain Mohiuddin & Md Musfiqur Rahman Bhuiya & Shaila Jamal & Zhi Chen, 2022. "Exploring the Choice of Bicycling and Walking in Rajshahi, Bangladesh: An Application of Integrated Choice and Latent Variable (ICLV) Models," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    12. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2015. "The influence of weather characteristics variability on individual’s travel mode choice in different seasons and regions in Sweden," Transport Policy, Elsevier, vol. 41(C), pages 147-158.
    13. Nicola Dempsey & Glen Bramley & Sinéad Power & Caroline Brown, 2011. "The social dimension of sustainable development: Defining urban social sustainability," Sustainable Development, John Wiley & Sons, Ltd., vol. 19(5), pages 289-300, September.
    14. Mohiuddin, Hossain & Fitch-Polse, Dillon T. & Handy, Susan L., 2023. "Does bike-share enhance transport equity? Evidence from the Sacramento, California region," Journal of Transport Geography, Elsevier, vol. 109(C).
    15. Verbich, David & El-Geneidy, Ahmed, 2016. "The pursuit of satisfaction: Variation in satisfaction with bus transit service among riders with encumbrances and riders with disabilities using a large-scale survey from London, UK," Transport Policy, Elsevier, vol. 47(C), pages 64-71.
    16. Mohiuddin, Hossain & Fitch-Polse, Dillon T. & Handy, Susan L., 2024. "Examining market segmentation to increase bike-share use and enhance equity: The case of the greater Sacramento region," Transport Policy, Elsevier, vol. 145(C), pages 279-290.
    17. Rob Imrie, 2000. "Disability and Discourses of Mobility and Movement," Environment and Planning A, , vol. 32(9), pages 1641-1656, September.
    18. Kakar, Inayat Singh & Peden, Margaret & Jagnoor, Jagnoor, 2021. "Intersectionality based policy analysis: Equity in mobility in India," Transport Policy, Elsevier, vol. 101(C), pages 14-22.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Feng, Zhongxiang & Gao, Ya & Zhu, Dianchen & Chan, Ho-Yin & Zhao, Mingming & Xue, Rui, 2024. "Impact of risk perception and trust in autonomous vehicles on pedestrian crossing decision: Navigating the social-technological intersection with the ICLV model," Transport Policy, Elsevier, vol. 152(C), pages 71-86.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohiuddin, Hossain & Fitch-Polse, Dillon T. & Handy, Susan L., 2024. "Examining market segmentation to increase bike-share use and enhance equity: The case of the greater Sacramento region," Transport Policy, Elsevier, vol. 145(C), pages 279-290.
    2. Antonio Borriello & John M. Rose, 2021. "Global versus localised attitudinal responses in discrete choice," Transportation, Springer, vol. 48(1), pages 131-165, February.
    3. Bhuiya, Md Musfiqur Rahman & Hasan, Md Musleh Uddin & Mohiuddin, Hossain & Anni, Afrin Hossain & Chen, Zhi & Jones, Steven, 2024. "Inequalities within mobility inequalities: A case study of mode specific problems faced by movement challenged persons of Dhaka, Bangladesh," Journal of Transport Geography, Elsevier, vol. 114(C).
    4. Marley, A.A.J. & Swait, J., 2017. "Goal-based models for discrete choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 72-88.
    5. Bouscasse, H., 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers 2018-07, Grenoble Applied Economics Laboratory (GAEL).
    6. Schmid, Basil & Becker, Felix & Axhausen, Kay W. & Widmer, Paul & Stein, Petra, 2023. "A simultaneous model of residential location, mobility tool ownership and mode choice using latent variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    7. Weibo Li & Maria Kamargianni, 2020. "An Integrated Choice and Latent Variable Model to Explore the Influence of Attitudinal and Perceptual Factors on Shared Mobility Choices and Their Value of Time Estimation," Transportation Science, INFORMS, vol. 54(1), pages 62-83, January.
    8. Kavta, Kuldeep & Goswami, Arkopal K., 2022. "Estimating mode choice of motorized two-wheeler commuters under the influence of combined travel demand management measures: An ICLV modeling approach," Transport Policy, Elsevier, vol. 126(C), pages 327-335.
    9. Luis Márquez & Víctor Cantillo & Julián Arellana, 2020. "Assessing the influence of indicators’ complexity on hybrid discrete choice model estimates," Transportation, Springer, vol. 47(1), pages 373-396, February.
    10. Hélène Bouscasse, 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers hal-01795630, HAL.
    11. Blandin, Lola & Vecchio, Giovanni & Hurtubia, Ricardo & Tiznado-Aitken, Ignacio, 2024. "Car dependency in the urban margins: The influence of perceived accessibility on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    12. Aaditya, Bh. & Rahul, T.M., 2021. "Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach," Transport Policy, Elsevier, vol. 108(C), pages 47-58.
    13. Tran, Yen & Yamamoto, Toshiyuki & Sato, Hitomi, 2020. "The influences of environmentalism and attitude towards physical activity on mode choice: The new evidences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 211-226.
    14. Hossain Mohiuddin & Md Musfiqur Rahman Bhuiya & Shaila Jamal & Zhi Chen, 2022. "Exploring the Choice of Bicycling and Walking in Rajshahi, Bangladesh: An Application of Integrated Choice and Latent Variable (ICLV) Models," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    15. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    16. Rahman, Mohammad Lutfur & Baker, Douglas, 2018. "Modelling induced mode switch behaviour in Bangladesh: A multinomial logistic regression approach," Transport Policy, Elsevier, vol. 71(C), pages 81-91.
    17. Yueqi Mao & Qiang Mei & Peng Jing & Ye Zha & Ying Xue & Jiahui Huang & Danning Shao & Pan Luo, 2022. "Factors Affecting the Parental Intention of Using AVs to Escort Children: An Integrated SEM–Hybrid Choice Model Approach," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    18. Juan Camilo Mansilla & Normand Boucher & François Routhier, 2024. "Public Transport in the Disabling City: A Narrative Ethnography of Dilemmas and Strategies of People with Mobility Disabilities," Disabilities, MDPI, vol. 4(1), pages 1-34, March.
    19. Francisco J. Bahamonde-Birke & Juan de Dios Ortúzar, 2015. "Analyzing the Continuity of Attitudinal and Perceptional Indicators in Hybrid Choice Models," Discussion Papers of DIW Berlin 1528, DIW Berlin, German Institute for Economic Research.
    20. Gustavo García-Melero & Rubén Sainz-González & Pablo Coto-Millán & Alejandra Valencia-Vásquez, 2021. "Sustainable Mobility Policy Analysis Using Hybrid Choice Models: Is It the Right Choice?," Sustainability, MDPI, vol. 13(5), pages 1-16, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:147:y:2024:i:c:p:259-270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.