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Analyzing Spatial Location Preference of Urban Activities with Mode-Dependent Accessibility Using Integrated Land Use–Transport Models

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  • Asif Raza

    (Intelligent Transportation Systems Research Center, Wuhan University of Technology, 1040 Heping Avenue, Wuchang District, Wuhan 430063, China
    National Engineering Research Center for Water Transport Safety, Wuhan 430063, China
    Engineering Research Center for Transportation Safety, Ministry of Education, Wuhan 430063, China)

  • Muhammad Safdar

    (Intelligent Transportation Systems Research Center, Wuhan University of Technology, 1040 Heping Avenue, Wuchang District, Wuhan 430063, China
    National Engineering Research Center for Water Transport Safety, Wuhan 430063, China
    Engineering Research Center for Transportation Safety, Ministry of Education, Wuhan 430063, China)

  • Ming Zhong

    (Intelligent Transportation Systems Research Center, Wuhan University of Technology, 1040 Heping Avenue, Wuchang District, Wuhan 430063, China
    National Engineering Research Center for Water Transport Safety, Wuhan 430063, China
    Engineering Research Center for Transportation Safety, Ministry of Education, Wuhan 430063, China)

  • John Douglas Hunt

    (Intelligent Transportation Systems Research Center, Wuhan University of Technology, 1040 Heping Avenue, Wuchang District, Wuhan 430063, China
    National Engineering Research Center for Water Transport Safety, Wuhan 430063, China
    Engineering Research Center for Transportation Safety, Ministry of Education, Wuhan 430063, China
    Department of Civil Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada)

Abstract

Accessibility is the ease of reaching opportunities (goods, services, activities, and destinations). Accessibility of desirable locations such as households and commercial locations, is typically scaffolded by land use patterns and transportation infrastructure. It can reflect people’s travel convenience, cities’ viability, sustainability, and mitigate the negative effects on the environment and public safety. Consequently, it is recognized as a fundamental principle in urban sustainable development policies worldwide. In the literature, most of the studies have used a static or partially dynamic approach with a single mode such as a car or public transportation by using conventional models. These “static” models assume that household locations are static and that transportation supply and opportunities for social practice activities are fixed in time and space, which can lead to biased or even misleading assumptions in accessibility models. Therefore, the aim of this study is to evaluate the impact of dynamic spatial accessibility through Mode-Dependent Accessibility (MDA) on the location choice behaviors of urban activities such as households and commercialin the City of Wuhan, China. This study employed the Mode-Dependent Travel Demand Model (M-TDM) to measure the impact of short-term MDA on household and commercial activities for the years 2012 and 2015. Additionally, an integrated spatial economic (ISE) model such as PECAS (Production, Exchange, Consumption, Allocation, System) in order to investigate location preferences of urban activities over space and time. Regarding household and commercial location choice, the ISE modeling results revealed that households and commercial activities are sensitive to MDA, especially using transit. The ISE method predicted that the R 2 for household and commercial location choice models was 0.84 to 0.90 for transit-based accessibility, whereas the R 2 for logsum-based static models was 0.48 to 0.72. In addition, their findings suggest that highly accessible locations that are well served by auto are more appealing for household and commercial activities. The findings of this study will help urban planners, transportation planners, and policymakers take into account the dynamic nature of short-term MDA when zoning and allocating urban activities and public amenities, instead of using static accessibility.

Suggested Citation

  • Asif Raza & Muhammad Safdar & Ming Zhong & John Douglas Hunt, 2022. "Analyzing Spatial Location Preference of Urban Activities with Mode-Dependent Accessibility Using Integrated Land Use–Transport Models," Land, MDPI, vol. 11(8), pages 1-31, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1139-:d:870469
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    References listed on IDEAS

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    1. Boisjoly, Geneviève & El-Geneidy, Ahmed, 2016. "Daily fluctuations in transit and job availability: A comparative assessment of time-sensitive accessibility measures," Journal of Transport Geography, Elsevier, vol. 52(C), pages 73-81.
    2. Christer Anderstig & Lars-Göran Mattsson, 1998. "Modelling Land-Use and Transport Interaction: Policy Analyses Using the IMREL Model," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), Network Infrastructure and the Urban Environment, chapter 17, pages 308-328, Springer.
    3. Ahuja, Richa & Tiwari, Geetam, 2021. "Evolving term “accessibility” in spatial systems: Contextual evaluation of indicators," Transport Policy, Elsevier, vol. 113(C), pages 4-11.
    4. 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.
    5. Melia, Steve & Chatterjee, Kiron & Stokes, Gordon, 2018. "Is the urbanisation of young adults reducing their driving?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 444-456.
    6. David Hensher & Tu Ton, 2002. "TRESIS: A transportation, land use and environmental strategy impact simulator for urban areas," Transportation, Springer, vol. 29(4), pages 439-457, November.
    7. Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim, 1998. "Network Infrastructure and the Urban Environment: Introduction and Summary," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), Network Infrastructure and the Urban Environment, chapter 1, pages 1-16, Springer.
    8. Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), 1998. "Network Infrastructure and the Urban Environment," Advances in Spatial Science, Springer, number 978-3-642-72242-4, Fall.
    9. Wanle Wang & Ming Zhong & John Douglas Hunt, 2019. "Analysis of the Wider Economic Impact of a Transport Infrastructure Project Using an Integrated Land Use Transport Model," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
    10. Yunes Almansoub & Ming Zhong & Asif Raza & Muhammad Safdar & Abdelghani Dahou & Mohammed A. A. Al-qaness, 2022. "Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level," Land, MDPI, vol. 11(6), pages 1-28, May.
    11. van Heerden, Quintin & Karsten, Carike & Holloway, Jenny & Petzer, Engela & Burger, Paul & Mans, Gerbrand, 2022. "Accessibility, affordability, and equity in long-term spatial planning: Perspectives from a developing country," Transport Policy, Elsevier, vol. 120(C), pages 104-119.
    12. Bouzouina, Louafi & Baraklianos, Ioannis & Bonnel, Patrick & Aissaoui, Hind, 2021. "Renters vs owners: The impact of accessibility on residential location choice. Evidence from Lyon urban area, France (1999–2013)," Transport Policy, Elsevier, vol. 109(C), pages 72-84.
    13. Tiwari, Geetam & Jain, Deepty, 2012. "Accessibility and safety indicators for all road users: case study Delhi BRT," Journal of Transport Geography, Elsevier, vol. 22(C), pages 87-95.
    14. Karen Lucas & Bert Wee & Kees Maat, 2016. "A method to evaluate equitable accessibility: combining ethical theories and accessibility-based approaches," Transportation, Springer, vol. 43(3), pages 473-490, May.
    15. Chandra R. Bhat & Rajesh Paleti & Palvinder Singh, 2014. "A Spatial Multivariate Count Model For Firm Location Decisions," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 462-502, June.
    16. Shi, Yuji & Blainey, Simon & Sun, Chao & Jing, Peng, 2020. "A literature review on accessibility using bibliometric analysis techniques," Journal of Transport Geography, Elsevier, vol. 87(C).
    17. Rezaei, Ali & Patterson, Zachary, 2018. "Preference stability in household location choice: Using cross-sectional data from three censuses," Research in Transportation Economics, Elsevier, vol. 67(C), pages 44-53.
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