IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v41y2014i5p792-812.html
   My bibliography  Save this article

A Spatial-Indexing Model for Measuring Neighbourhood-Level Land-Use and Transport Integration

Author

Listed:
  • Fatih Dur
  • Tan Yigitcanlar
  • Jonathan Bunker

Abstract

Significant attention has been given in urban policy literature to the integration of land-use and transport planning and policies—with a view to curbing sprawling urban form and diminishing externalities associated with car-dependent travel patterns. By taking land-use and transport interaction into account, this debate mainly focuses on how a successful integration can contribute to societal well-being, providing efficient and balanced economic growth while accomplishing the goal of developing sustainable urban environments and communities. The integration is also a focal theme of contemporary urban development models, such as smart growth, liveable neighbourhoods, and new urbanism. Even though available planning policy options for ameliorating urban form and transport-related externalities have matured—owing to growing research and practice worldwide—there remains a lack of suitable evaluation models to reflect on the current status of urban form and travel problems or on the success of implemented integration policies. In this study we explore the applicability of indicator-based spatial indexing to assess land-use and transport integration at the neighbourhood level. For this, a spatial index is developed by a number of indicators compiled from international studies and trialled in Gold Coast, Queensland, Australia. The results of this modelling study reveal that it is possible to propose an effective metric to determine the success level of city plans considering their sustainability performance via composite indicator methodology. The model proved useful in demarcating areas where planning intervention is applicable, and in identifying the most suitable locations for future urban development and plan amendments. Lastly, we integrate variance-based sensitivity analysis with the spatial indexing method, and discuss the applicability of the model in other urban contexts.

Suggested Citation

  • Fatih Dur & Tan Yigitcanlar & Jonathan Bunker, 2014. "A Spatial-Indexing Model for Measuring Neighbourhood-Level Land-Use and Transport Integration," Environment and Planning B, , vol. 41(5), pages 792-812, October.
  • Handle: RePEc:sae:envirb:v:41:y:2014:i:5:p:792-812
    DOI: 10.1068/b39028
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b39028
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b39028?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
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Hanafizadeh, Mohammad Reza & Saghaei, Abbas & Hanafizadeh, Payam, 2009. "An index for cross-country analysis of ICT infrastructure and access," Telecommunications Policy, Elsevier, vol. 33(7), pages 385-405, August.
    3. Frank, Lawrence Douglas & Saelens, Brian E. & Powell, Ken E. & Chapman, James E., 2007. "Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?," Social Science & Medicine, Elsevier, vol. 65(9), pages 1898-1914, November.
    4. Tan Yigitcanlar & Fatih Dur, 2010. "Developing a Sustainability Assessment Model: The Sustainable Infrastructure, Land-Use, Environment and Transport Model," Sustainability, MDPI, vol. 2(1), pages 1-20, January.
    5. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323, March.
    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. Shaopei Chen & Dachang Zhuang, 2020. "Evolution and Evaluation of the Guangzhou Metro Network Topology Based on an Integration of Complex Network Analysis and GIS," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    2. Sajida Perveen & Md. Kamruzzaman & Tan Yigitcanlar, 2017. "Developing Policy Scenarios for Sustainable Urban Growth Management: A Delphi Approach," Sustainability, MDPI, vol. 9(10), pages 1-27, October.
    3. Amirafshar Vaeztavakoli & Azadeh Lak & Tan Yigitcanlar, 2018. "Blue and Green Spaces as Therapeutic Landscapes: Health Effects of Urban Water Canal Areas of Isfahan," Sustainability, MDPI, vol. 10(11), pages 1-20, November.

    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. 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.
    2. Wang, Fenglong & Mao, Zidan & Wang, Donggen, 2020. "Residential relocation and travel satisfaction change: An empirical study in Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 341-353.
    3. Janke, Julia, 2021. "Re-visiting residential self-selection and dissonance: Does intra-household decision-making change the results?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 379-401.
    4. Cao, Xinyu (Jason), 2015. "Heterogeneous effects of neighborhood type on commute mode choice: An exploration of residential dissonance in the Twin Cities," Journal of Transport Geography, Elsevier, vol. 48(C), pages 188-196.
    5. Chowdhury, Tufayel & Scott, Darren M., 2020. "An analysis of the built environment and auto travel in Halifax, Canada," Transport Policy, Elsevier, vol. 94(C), pages 23-33.
    6. Jinhyun Hong & Qing Shen & Lei Zhang, 2014. "How do built-environment factors affect travel behavior? A spatial analysis at different geographic scales," Transportation, Springer, vol. 41(3), pages 419-440, May.
    7. 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.
    8. Xinyu Cao & Patricia L. Mokhtarian, 2012. "The connections among accessibility, self- selection and walking behaviour: a case study of Northern California residents," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 5, pages 73-95, Edward Elgar Publishing.
    9. Wali, Behram & Frank, Lawrence D. & Saelens, Brian E. & Young, Deborah R. & Meenan, Richard T. & Dickerson, John F. & Keast, Erin M. & Fortmann, Stephen P., 2024. "Associations of walkability, regional and transit accessibility around home and workplace with active and sedentary travel," Journal of Transport Geography, Elsevier, vol. 116(C).
    10. Tae-Hyoung Tommy Gim, 2023. "Residential self-selection or socio-ecological interaction? the effects of sociodemographic and attitudinal characteristics on the built environment–travel behavior relationship," Transportation, Springer, vol. 50(4), pages 1347-1398, August.
    11. Sehatzadeh, Bahareh & Noland, Robert B. & Weiner, Marc D., 2011. "Walking frequency, cars, dogs, and the built environment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 741-754, October.
    12. Matthias Firgo & Fabian Gabelberger & Andreas Reinstaller & Yvonne Wolfmayr, 2024. "Assessing Regional Production Potential to Strengthen the Security of Supply in Strategic Products," WIFO Working Papers 670, WIFO.
    13. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    14. Rajko Tomaš, 2022. "Measurement of the Concentration of Potential Quality of Life in Local Communities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 79-109, August.
    15. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    16. 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.
    17. Jie Gao & Dick Ettema & Marco Helbich & Carlijn B. M. Kamphuis, 2019. "Travel mode attitudes, urban context, and demographics: do they interact differently for bicycle commuting and cycling for other purposes?," Transportation, Springer, vol. 46(6), pages 2441-2463, December.
    18. Hamdi Lemamsha & Chris Papadopoulos & Gurch Randhawa, 2018. "Perceived Environmental Factors Associated with Obesity in Libyan Men and Women," IJERPH, MDPI, vol. 15(2), pages 1-16, February.
    19. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    20. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(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:sae:envirb:v:41:y:2014:i:5:p:792-812. 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: SAGE Publications (email available below). General contact details of provider: .

    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.