IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v116y2018icp622-634.html
   My bibliography  Save this article

Is transport poverty socially or environmentally driven? Comparing the travel behaviours of two low-income populations living in central and peripheral locations in the same city

Author

Listed:
  • Lucas, Karen
  • Philips, Ian
  • Mulley, Corinne
  • Ma, Liang

Abstract

The paper presents a study to explore the relationship between travel poverty and social disadvantage at the local geographical level. The main aim of the research was to identify the extent to which the revealed travel behavioural outcomes of the study participants are due to personal social constraints or environmental conditions in their residential locations. Specifically, we sought to identify if the greater access to local amenities and public transport services of inner city residents led to an increase in their daily travel activities when compared with their urban peripheral counterparts. The research analysed data from a personal travel survey and one-day travel diary with 502 adults aged between 16 and 65 years in two different deprived areas in Merseyside, North West England. Our analysis is somewhat hampered by the small sample size, but the modelled results suggest that more trips, and longer journey distances do not necessarily imply greater social inclusion. The geographically weighted regression models (GWR) highlighted that the physical location of where people live within the city is more influential on their trip-making patterns than social determinants such as household income, age, gender, and/or employment status. Street connectivity, the level of bus services and neighbourhood safety were all particularly significant for determining spatial variations in the daily trips that were undertaken, with more trips being undertaken where there was a greater density of street nodes, bus stops and where people felt safer at night. This highlights the need for local transport and urban policymakers to carefully consider and target these micro-scale factors when attempting to introduce transport interventions to reduce social exclusion amongst low-income urban populations.

Suggested Citation

  • Lucas, Karen & Philips, Ian & Mulley, Corinne & Ma, Liang, 2018. "Is transport poverty socially or environmentally driven? Comparing the travel behaviours of two low-income populations living in central and peripheral locations in the same city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 622-634.
  • Handle: RePEc:eee:transa:v:116:y:2018:i:c:p:622-634
    DOI: 10.1016/j.tra.2018.07.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416310114
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2018.07.007?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. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Xinyu Cao & Patricia L Mokhtarian & Susan L Handy, 2007. "Cross-Sectional and Quasi-Panel Explorations of the Connection between the Built Environment and Auto Ownership," Environment and Planning A, , vol. 39(4), pages 830-847, April.
    3. El-Geneidy, Ahmed & Levinson, David & Diab, Ehab & Boisjoly, Genevieve & Verbich, David & Loong, Charis, 2016. "The cost of equity: Assessing transit accessibility and social disparity using total travel cost," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 302-316.
    4. Robert Cervero & Jin Murakami, 2010. "Effects of Built Environments on Vehicle Miles Traveled: Evidence from 370 US Urbanized Areas," Environment and Planning A, , vol. 42(2), pages 400-418, February.
    5. Kaveh Jahanshahi & Ying Jin, 2016. "The built environment typologies in the UK and their influences on travel behaviour: new evidence through latent categorisation in structural equation modelling," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(1), pages 59-77, February.
    6. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.
    7. Scott, Darren M. & He, Sylvia Y., 2012. "Modeling constrained destination choice for shopping: a GIS-based, time-geographic approach," Journal of Transport Geography, Elsevier, vol. 23(C), pages 60-71.
    8. Felix Haifeng Liao & Steven Farber & Reid Ewing, 2015. "Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 314-337, February.
    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. Xinyu Cao & Patricia Mokhtarian & Susan Handy, 2007. "Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach," Transportation, Springer, vol. 34(5), pages 535-556, September.
    11. Ibeas, Ángel & Cordera, Ruben & dell'Olio, Luigi & Moura, Jose Luis, 2011. "Modelling demand in restricted parking zones," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 485-498, July.
    12. Morency, Catherine & Paez, Antonio & Roorda, Matthew J. & Mercado, Ruben & Farber, Steven, 2011. "Distance traveled in three Canadian cities: Spatial analysis from the perspective of vulnerable population segments," Journal of Transport Geography, Elsevier, vol. 19(1), pages 39-50.
    13. Rhonda Daniels & Corinne Mulley, 2013. "Explaining walking distance to public transport: The dominance of public transport supply," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(2), pages 5-20.
    14. Delbosc, Alexa & Currie, Graham, 2011. "The spatial context of transport disadvantage, social exclusion and well-being," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1130-1137.
    15. Olaru, Doina & Mulley, Corinne & Smith, Brett & Ma, Liang, 2017. "Policy-led selection of the most appropriate empirical model to estimate hedonic prices in the residential market," Journal of Transport Geography, Elsevier, vol. 62(C), pages 213-228.
    16. Schwanen, Tim & Lucas, Karen & Akyelken, Nihan & Cisternas Solsona, Diego & Carrasco, Juan-Antonio & Neutens, Tijs, 2015. "Rethinking the links between social exclusion and transport disadvantage through the lens of social capital," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 123-135.
    17. Pyrialakou, V. Dimitra & Gkritza, Konstantina & Fricker, Jon D., 2016. "Accessibility, mobility, and realized travel behavior: Assessing transport disadvantage from a policy perspective," Journal of Transport Geography, Elsevier, vol. 51(C), pages 252-269.
    18. Lucas, Karen, 2012. "Transport and social exclusion: Where are we now?," Transport Policy, Elsevier, vol. 20(C), pages 105-113.
    19. Lucas, Karen & Bates, John & Moore, José & Carrasco, Juan Antonio, 2016. "Modelling the relationship between travel behaviours and social disadvantage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 157-173.
    20. Handy, Susan & Cao, Xinyu & Mokhtarian, Patricia L., 2005. "Correlation or causality between the built environment and travel behavior? Evidence from Northern California," University of California Transportation Center, Working Papers qt5b76c5kg, University of California Transportation Center.
    21. Cao, Xinyu & Mokhtarian, Patricia L & Handy, Susan, 2007. "Cross-Sectional and Quasi-Panel Explorations of the Connection Between the Built Environment and Auto Ownership," University of California Transportation Center, Working Papers qt3xn9176t, University of California Transportation Center.
    22. Blainey, Simon, 2010. "Trip end models of local rail demand in England and Wales," Journal of Transport Geography, Elsevier, vol. 18(1), pages 153-165.
    Full references (including those not matched with items on IDEAS)

    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. Jahanshahi, Kaveh & Jin, Ying & Williams, Ian, 2015. "Direct and indirect influences on employed adults’ travel in the UK: New insights from the National Travel Survey data 2002–2010," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 288-306.
    2. Erick Guerra & Shengxiao Li & Ariadna Reyes, 2022. "How do low-income commuters get to work in US and Mexican cities? A comparative empirical assessment," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 75-96, January.
    3. Zhao, Pengjun & Wan, Jie, 2021. "Land use and travel burden of residents in urban fringe and rural areas: An evaluation of urban-rural integration initiatives in Beijing," Land Use Policy, Elsevier, vol. 103(C).
    4. Emine Coruh & Faruk Urak & Abdulbaki Bilgic & Steven T. Yen, 2022. "The role of household demographic factors in shaping transportation spending in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3485-3517, March.
    5. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    6. Doddamani, Chetan & Manoj, M., 2022. "Residential relocation and changes in household vehicle ownership and travel behavior: Exploring the context of Hubli-Dharwad twin-cities in India from a planning viewpoint," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 134-155.
    7. Scheiner, Joachim, 2018. "Transport costs seen through the lens of residential self-selection and mobility biographies," Transport Policy, Elsevier, vol. 65(C), pages 126-136.
    8. Lee, Yongsung & Guhathakurta, Subhrajit, 2018. "An analysis of the effects of suburban densification on vehicle use for shopping: Do existing residents respond to land-use changes in the same way as recent movers?," Journal of Transport Geography, Elsevier, vol. 68(C), pages 193-204.
    9. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    10. Dimitris Milakis & Dimitrios Efthymiou & Constantinos Antoniou, 2017. "Built Environment, Travel Attitudes and Travel Behaviour: Quasi-Longitudinal Analysis of Links in the Case of Greeks Relocating from US to Greece," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    11. De Vos, Jonas & Cheng, Long & Kamruzzaman, Md. & Witlox, Frank, 2021. "The indirect effect of the built environment on travel mode choice: A focus on recent movers," Journal of Transport Geography, Elsevier, vol. 91(C).
    12. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2018. "Residential self-selection, reverse causality and residential dissonance. A latent class transition model of interactions between the built environment, travel attitudes and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 466-479.
    13. Faizeh Hatami & Jean-Claude Thill, 2022. "Spatiotemporal Evaluation of the Built Environment’s Impact on Commuting Duration," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    14. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    15. Jason Cao & Xiaoshu Cao, 2014. "The Impacts of LRT, Neighbourhood Characteristics, and Self-selection on Auto Ownership: Evidence from Minneapolis-St. Paul," Urban Studies, Urban Studies Journal Limited, vol. 51(10), pages 2068-2087, August.
    16. Circella, Giovanni & Alemi, Farzad & Tiedeman, Kate & Berliner, Rosaria M & Lee, Yongsung & Fulton, Lew & Mokhtarian, Patricia L & Handy , Susan, 2017. "What Affects Millennials’ Mobility? PART II: The Impact of Residential Location, Individual Preferences and Lifestyles on Young Adults’ Travel Behavior in California," Institute of Transportation Studies, Working Paper Series qt5kc117kj, Institute of Transportation Studies, UC Davis.
    17. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    18. Ao, Yibin & Yang, Dujuan & Chen, Chuan & Wang, Yan, 2019. "Exploring the effects of the rural built environment on household car ownership after controlling for preference and attitude: Evidence from Sichuan, China," Journal of Transport Geography, Elsevier, vol. 74(C), pages 24-36.
    19. Mattioli, Giulio & Lucas, Karen & Marsden, Greg, 2018. "Reprint of Transport poverty and fuel poverty in the UK: From analogy to comparison," Transport Policy, Elsevier, vol. 65(C), pages 114-125.
    20. Xinyu Cao & Patricia Mokhtarian & Susan Handy, 2007. "Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach," Transportation, Springer, vol. 34(5), pages 535-556, September.

    More about this item

    Statistics

    Access and download statistics

    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:transa:v:116:y:2018:i:c:p:622-634. 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/547/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.