IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v78y2018icp397-409.html
   My bibliography  Save this article

Towards incorporating location choice into integrated land use and transport planning and policy: A multi-scale analysis of residential and job location choice behaviour

Author

Listed:
  • Acheampong, Ransford A.

Abstract

Residential and job location decisions have lasting impacts on the emergent structure of cities, which in turn, determines travel patterns, energy use and travel-related greenhouse gas emissions. The ability to understand and predict these choice processes are therefore crucial to long-term sustainable urban land use and transport strategies. Understanding housing-job location choice processes requires unpacking the interplay among heterogeneous attributes of decision-makers on the one hand, and various location-defining attributes observable at multiple spatial scales on the other hand. Also, to better understand the interdependence between these location choice sets, empirical examination of how the home and work locations respond to each other over time is necessary. This study responds to these empirical imperatives by exploring residential-job location choice behaviour of households and individuals in a metropolitan context in Ghana, West Africa. The study utilizes data from a cross-sectional survey of 665 households and their 1158 individual workers in the Kumasi metropolis, Ghana’s second largest metropolis. Results show variations in preferences among households and individuals for macro-scale location-defining factors as well as discrete spatial choice alternatives specified as urban-zones, dwelling types and tenancy arrangements. Retrospective analysis of the residential-job choice interdependence shows that in most cases, residential location decisions are taken first, implying a sequential choice process where job location decisions are subsequently anchored on the initial home locations. Besides the in-depth empirical contributions, the paper outlines how the findings could ultimately inform the development of planning support systems to integrate location choice into sustainable urban development and transport management policies.

Suggested Citation

  • Acheampong, Ransford A., 2018. "Towards incorporating location choice into integrated land use and transport planning and policy: A multi-scale analysis of residential and job location choice behaviour," Land Use Policy, Elsevier, vol. 78(C), pages 397-409.
    • Handle: RePEc:eee:lauspo:v:78:y:2018:i:c:p:397-409
    DOI: 10.1016/j.landusepol.2018.07.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837717316484
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.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. de Palma, Andre & Picard, Nathalie & Waddell, Paul, 2007. "Discrete choice models with capacity constraints: An empirical analysis of the housing market of the greater Paris region," Journal of Urban Economics, Elsevier, vol. 62(2), pages 204-230, September.
    2. Ignacio A. Inoa & Nathalie Picard & Andr� de Palma, 2015. "Effect of an Accessibility Measure in a Model for Choice of Residential Location, Workplace, and Type of Employment," Mathematical Population Studies, Taylor & Francis Journals, vol. 22(1), pages 4-36, March.
    3. Bhat, Chandra R., 2015. "A comprehensive dwelling unit choice model accommodating psychological constructs within a search strategy for consideration set formation," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 161-188.
    4. Petra Doan & Charles Yaw Oduro, 2012. "Patterns of Population Growth in Peri-Urban Accra, Ghana," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 36(6), pages 1306-1325, November.
    5. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    6. Edward L. Glaeser & Matthew G. Resseger, 2010. "The Complementarity Between Cities And Skills," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 221-244, February.
    7. Tilahun, Nebiyou & Levinson, David, 2011. "Work and home location: Possible role of social networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 323-331, May.
    8. Legrain, Alexander & Buliung, Ron & El-Geneidy, Ahmed M., 2016. "Travelling fair: Targeting equitable transit by understanding job location, sectorial concentration, and transit use among low-wage workers," Journal of Transport Geography, Elsevier, vol. 53(C), pages 1-11.
    9. Michael Wegener & Franz Fuerst, 2004. "Land-Use Transport Interaction: State of the Art," Urban/Regional 0409005, University Library of Munich, Germany.
    10. Kii, Masanobu & Nakanishi, Hitomi & Nakamura, Kazuki & Doi, Kenji, 2016. "Transportation and spatial development: An overview and a future direction," Transport Policy, Elsevier, vol. 49(C), pages 148-158.
    11. Brian Lee & Paul Waddell, 2010. "Residential mobility and location choice: a nested logit model with sampling of alternatives," Transportation, Springer, vol. 37(4), pages 587-601, July.
    12. Paul Waddell, 2011. "Integrated Land Use and Transportation Planning and Modelling: Addressing Challenges in Research and Practice," Transport Reviews, Taylor & Francis Journals, vol. 31(2), pages 209-229.
    13. Abdul Pinjari & Ram Pendyala & Chandra Bhat & Paul Waddell, 2011. "Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions," Transportation, Springer, vol. 38(6), pages 933-958, November.
    14. Piet Rietveld & Peter Nijkamp & Jos van Ommeren, 2000. "Job mobility, residential mobility and commuting: A theoretical analysis using search theory," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 34(2), pages 213-232.
    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. Popkova, Elena G. & Sergi, Bruno S., 2020. "A Digital Economy to Develop Policy Related to Transport and Logistics. Predictive Lessons from Russia," Land Use Policy, Elsevier, vol. 99(C).
    2. Tao, Zhuolin & Zhou, Jiangping & Lin, Xiongbin & Chao, Heng & Li, Guicai, 2020. "Investigating the impacts of public transport on job accessibility in Shenzhen, China: a multi-modal approach," Land Use Policy, Elsevier, vol. 99(C).
    3. Sirirat Sae Lim & Hong Ngoc Nguyen & Chia-Li Lin, 2022. "Exploring the Development Strategies of Science Parks Using the Hybrid MCDM Approach," Sustainability, MDPI, vol. 14(7), pages 1-29, April.
    4. Li, Yongling & Geertman, Stan & Hooimeijer, Pieter & Lin, Yanliu & Yang, Haoran & Yang, Linchuan, 2022. "Interaction effects of socioeconomic factors on long-distance commuting after disentangling residential self-selection: An empirical study in Xiamen, China," Journal of Transport Geography, Elsevier, vol. 105(C).

    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. Bhat, Chandra R., 2015. "A comprehensive dwelling unit choice model accommodating psychological constructs within a search strategy for consideration set formation," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 161-188.
    2. Doddamani, Chetan & Manoj, M. & Maurya, Yashasvi, 2021. "Geographical scale of residential relocation and its impacts on vehicle ownership and travel behavior," Journal of Transport Geography, Elsevier, vol. 94(C).
    3. Schirmer, Patrick & van Eggermond, Michael & Axhausen, Kay, 2014. "The role of location in residential location choice models: a review of literature," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 3-21.
    4. Jia Guo & Tao Feng & Harry J. P. Timmermans, 2020. "Modeling co-dependent choice of workplace, residence and commuting mode using an error component mixed logit model," Transportation, Springer, vol. 47(2), pages 911-933, April.
    5. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
    6. Fatmi, Mahmudur Rahman & Chowdhury, Subeh & Habib, Muhammad Ahsanul, 2017. "Life history-oriented residential location choice model: A stress-based two-tier panel modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 293-307.
    7. Dorsa Alipour & Hussein Dia, 2023. "A Systematic Review of the Role of Land Use, Transport, and Energy-Environment Integration in Shaping Sustainable Cities," Sustainability, MDPI, vol. 15(8), pages 1-29, April.
    8. Humphreys, John & Ahern, Aoife, 2019. "Is travel based residential self-selection a significant influence in modal choice and household location decisions?," Transport Policy, Elsevier, vol. 75(C), pages 150-160.
    9. 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.
    10. Zhu, Pengyu & Tan, Xinying & Zhao, Songnian & Shi, Shuai & Wang, Mingshu, 2022. "Land use regulations, transit investment, and commuting preferences," Land Use Policy, Elsevier, vol. 122(C).
    11. André de Palma & Matthieu de Lapparent & Nathalie Picard, 2014. "Modeling Real Estate Investment Decisions In Households," Working Papers hal-01091972, HAL.
    12. Carrese, Stefano & Nigro, Marialisa & Patella, Sergio Maria & Toniolo, Eleonora, 2019. "A preliminary study of the potential impact of autonomous vehicles on residential location in Rome," Research in Transportation Economics, Elsevier, vol. 75(C), pages 55-61.
    13. Bhat, Chandra R. & Mondal, Aupal, 2022. "A New Flexible Generalized Heterogeneous Data Model (GHDM) with an Application to Examine the Effect of High Density Neighborhood Living on Bicycling Frequency," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 244-266.
    14. Sander van Cranenburgh & Francisco Garrido-Valenzuela, 2023. "Computer vision-enriched discrete choice models, with an application to residential location choice," Papers 2308.08276, arXiv.org.
    15. Pierre Levasseur & Katrin Erdlenbruch & Christelle Gramaglia, 2019. "Why do people continue to live near polluted sites? Empirical evidence from Southwestern Europe," CEE-M Working Papers hal-02277633, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    16. François Des Rosiers & Marius Thériault & Gjin Biba & Marie-Hélène Vandersmissen, 2017. "Greenhouse gas emissions and urban form: Linking households’ socio-economic status with housing and transportation choices," Environment and Planning B, , vol. 44(5), pages 964-985, September.
    17. Cao, Jason & Ettema, Dick, 2014. "Satisfaction with travel and residential self-selection: How do preferences moderate the impact of the Hiawatha Light Rail Transit line?," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 93-108.
    18. Ibeas, Ángel & Cordera, Ruben & dell’Olio, Luigi & Coppola, Pierluigi, 2013. "Modelling the spatial interactions between workplace and residential location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 110-122.
    19. Bhat, Chandra R. & Astroza, Sebastian & Sidharthan, Raghuprasad & Alam, Mohammad Jobair Bin & Khushefati, Waleed H., 2014. "A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 31-51.
    20. Haque, Md Bashirul & Choudhury, Charisma & Hess, Stephane, 2020. "Understanding differences in residential location preferences between ownership and renting: A case study of London," Journal of Transport Geography, Elsevier, vol. 88(C).

    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:lauspo:v:78:y:2018:i:c:p:397-409. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.