IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v81y2019icp95-105.html
   My bibliography  Save this article

Multi-stage trips: An exploration of factors affecting mode combination choice of travelers in England

Author

Listed:
  • Basheer, Muhammad Aamir
  • van der Waerden, Peter
  • Kochan, Bruno
  • Bellemans, Tom
  • Raheel Shah, Syyed Adnan

Abstract

A tremendous growth has been observed in the use of personal vehicles. Increase in private vehicle use has created many environmental, social and economic problems. A multi-stage trip can help to elevate the problems of delays, environmental degradation, and congestion. Multi-stage trips provide the benefits of smarter, cleaner and sustainable transport. This paper focuses on the organization of different multi-stage trips with respect to first mile, main stage, and last mile and factors that influence the choice of these mode combinations. A multinomial logistic regression (MNL) model is used to evaluate the factors that affect the choice of different mode combinations in a multi-stage trip. For most of the combinations, the trip purpose is significantly associated with mode choice for these combinations. In most cases, availability of the car results in a decline of probability for choosing a combination involving walk. The families with children prefer to take a combination involving a car or public transport at the first or last mile. This study only focuses on the mode combination of 3-stage trips so, an analysis can also be made for multi-stage trips having more than 3 stages.

Suggested Citation

  • Basheer, Muhammad Aamir & van der Waerden, Peter & Kochan, Bruno & Bellemans, Tom & Raheel Shah, Syyed Adnan, 2019. "Multi-stage trips: An exploration of factors affecting mode combination choice of travelers in England," Transport Policy, Elsevier, vol. 81(C), pages 95-105.
  • Handle: RePEc:eee:trapol:v:81:y:2019:i:c:p:95-105
    DOI: 10.1016/j.tranpol.2019.06.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X18308515
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2019.06.007?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. Scheiner, Joachim, 2010. "Interrelations between travel mode choice and trip distance: trends in Germany 1976–2002," Journal of Transport Geography, Elsevier, vol. 18(1), pages 75-84.
    2. Kim, Sungyop & Ulfarsson, Gudmundur F. & Todd Hennessy, J., 2007. "Analysis of light rail rider travel behavior: Impacts of individual, built environment, and crime characteristics on transit access," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 511-522, July.
    3. Swait, Joffre, 2001. "Choice set generation within the generalized extreme value family of discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 643-666, August.
    4. Buehler, Ralph, 2011. "Determinants of transport mode choice: a comparison of Germany and the USA," Journal of Transport Geography, Elsevier, vol. 19(4), pages 644-657.
    5. Van Exel, N.J.A. & Rietveld, P., 2009. "Could you also have made this trip by another mode? An investigation of perceived travel possibilities of car and train travellers on the main travel corridors to the city of Amsterdam, The Netherland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 374-385, May.
    6. Keijer, M.J.N. & Rietveld, P., 1999. "How do people get to the railway station : a spatial analysis of the first and the last part of multimodal trips," Serie Research Memoranda 0009, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    7. Ming Li & Guohua Song & Ying Cheng & Lei Yu, 2015. "Identification of Prior Factors Influencing the Mode Choice of Short Distance Travel," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-9, February.
    8. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.
    9. Metin Senbil & Ryuichi Kitamura & Jamilah Mohamad, 2009. "Residential location, vehicle ownership and travel in Asia: a comparative analysis of Kei-Han-Shin and Kuala Lumpur metropolitan areas," Transportation, Springer, vol. 36(3), pages 325-350, May.
    10. Piet Bovy & Sascha Hoogendoorn-Lanser, 2005. "Modelling route choice behaviour in multi-modal transport networks," Transportation, Springer, vol. 32(4), pages 341-368, July.
    11. Beirão, Gabriela & Sarsfield Cabral, J.A., 2007. "Understanding attitudes towards public transport and private car: A qualitative study," Transport Policy, Elsevier, vol. 14(6), pages 478-489, November.
    12. Mishra, Sabyasachee & Welch, Timothy F. & Jha, Manoj K., 2012. "Performance indicators for public transit connectivity in multi-modal transportation networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1066-1085.
    13. Bhat, Chandra R., 1997. "Covariance heterogeneity in nested logit models: Econometric structure and application to intercity travel," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 11-21, February.
    14. Guo, Zhan & Wilson, Nigel H.M., 2011. "Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 91-104, February.
    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. Saxena, Aditya & Gupta, Vallary, 2023. "Carpooling: Who is closest to adopting it? An investigation into the potential car-poolers among private vehicle users: A case of a developing country, India," Transport Policy, Elsevier, vol. 135(C), pages 11-20.
    2. Das, Sanhita & Boruah, Alice & Banerjee, Arunabha & Raoniar, Rahul & Nama, Suresh & Maurya, Akhilesh Kumar, 2021. "Impact of COVID-19: A radical modal shift from public to private transport mode," Transport Policy, Elsevier, vol. 109(C), pages 1-11.

    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. Jaroslav Burian & Lenka Zajíčková & Igor Ivan & Karel Macků, 2018. "Attitudes and Motivation to Use Public or Individual Transport: A Case Study of Two Middle-Sized Cities," Social Sciences, MDPI, vol. 7(6), pages 1-25, May.
    2. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.
    3. Jesper Bláfoss Ingvardson & Otto Anker Nielsen, 2022. "The influence of vicinity to stations, station characteristics and perceived safety on public transport mode choice: a case study from Copenhagen," Public Transport, Springer, vol. 14(2), pages 459-480, June.
    4. Liaqat Ali & Ahsan Nawaz & Shahid Iqbal & Muhammad Aamir Basheer & Javaria Hameed & Gadah Albasher & Syyed Adnan Raheel Shah & Yong Bai, 2021. "Dynamics of Transit Oriented Development, Role of Greenhouse Gases and Urban Environment: A Study for Management and Policy," Sustainability, MDPI, vol. 13(5), pages 1-14, February.
    5. Qihao Liu & Yuzheng Liu & Chia-Lin Chen & Enrica Papa & Yantao Ling & Mengqiu Cao, 2023. "Is It Possible to Compete With Car Use? How Buses Can Facilitate Sustainable Transport," Urban Planning, Cogitatio Press, vol. 8(3), pages 69-83.
    6. Allard, Ryan F. & Moura, Filipe, 2018. "Effect of transport transfer quality on intercity passenger mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 89-107.
    7. Chandra, Shailesh & Jimenez, Jose & Radhakrishnan, Ramalingam, 2017. "Accessibility evaluations for nighttime walking and bicycling for low-income shift workers," Journal of Transport Geography, Elsevier, vol. 64(C), pages 97-108.
    8. Buys, Laurie & Miller, Evonne, 2011. "Conceptualising convenience: Transportation practices and perceptions of inner-urban high density residents in Brisbane, Australia," Transport Policy, Elsevier, vol. 18(1), pages 289-297, January.
    9. Canca, David & Barrena, Eva & De-Los-Santos, Alicia & Andrade-Pineda, José Luis, 2016. "Setting lines frequency and capacity in dense railway rapid transit networks with simultaneous passenger assignment," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 251-267.
    10. Ceder, Avishai & Chowdhury, Subeh & Taghipouran, Nima & Olsen, Jared, 2013. "Modelling public-transport users’ behaviour at connection point," Transport Policy, Elsevier, vol. 27(C), pages 112-122.
    11. Cheng, Yung-Hsiang & Chen, Ssu-Yun, 2015. "Perceived accessibility, mobility, and connectivity of public transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 386-403.
    12. Saiyad, Gulnazbanu & Srivastava, Minal & Rathwa, Dipak, 2022. "Exploring determinants of feeder mode choice behavior using Artificial Neural Network: Evidences from Delhi metro," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    13. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Marra, Alessandro & Sarra, Alessandro, 2019. "An assessment of the role of cultural capital on sustainable mobility behaviours: Conceptual framework and empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 24-34.
    14. Hernandez, Sara & Monzon, Andres & de Oña, Rocío, 2016. "Urban transport interchanges: A methodology for evaluating perceived quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 31-43.
    15. Das, Sanhita & Boruah, Alice & Banerjee, Arunabha & Raoniar, Rahul & Nama, Suresh & Maurya, Akhilesh Kumar, 2021. "Impact of COVID-19: A radical modal shift from public to private transport mode," Transport Policy, Elsevier, vol. 109(C), pages 1-11.
    16. Anthony Downward & Subeh Chowdhury & Chapa Jayalath, 2019. "An investigation of route-choice in integrated public transport networks by risk-averse users," Public Transport, Springer, vol. 11(1), pages 89-110, June.
    17. Audronė Minelgaitė & Renata Dagiliūtė & Genovaitė Liobikienė, 2020. "The Usage of Public Transport and Impact of Satisfaction in the European Union," Sustainability, MDPI, vol. 12(21), pages 1-13, November.
    18. Hadas, Yuval & Ranjitkar, Prakash, 2012. "Modeling public-transit connectivity with spatial quality-of-transfer measurements," Journal of Transport Geography, Elsevier, vol. 22(C), pages 137-147.
    19. Mehrdad Bagheri & Miloš N. Mladenović & Iisakki Kosonen & Jukka K. Nurminen, 2020. "Analysis of Potential Shift to Low-Carbon Urban Travel Modes: A Computational Framework Based on High-Resolution Smartphone Data," Sustainability, MDPI, vol. 12(15), pages 1-26, July.
    20. Clauss, Thomas & Döppe, Sebastian, 2016. "Why do urban travelers select multimodal travel options: A repertory grid analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 93-116.

    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:81:y:2019:i:c:p:95-105. 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.