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A land use and transportation integration method for land use allocation and transportation strategies in China

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  • Su, Hailong
  • Wu, Jia Hao
  • Tan, Yinghui
  • Bao, Yuanqiu
  • Song, Bing
  • He, Xinghua

Abstract

In this paper, we will first review literature of the land use and transportation interaction and then develop a new land use allocation methodology called Three Stages-Two-Feedback Method (Integration Method) for both land use allocation and the transportation policy options with a practical implementation. Then we apply this method in an urban general planning project in China with more than 1.2 million populations. In this project, we evaluated three land use allocation strategies and three transportation policy options using two application tools (with and without feedbacks) using this method implemented in a land use planning system UPlan and a transportation planning system Emme. The results show that the use of the feedback method (Application Two) results in a vehicle distance reduction and the increase in the service coverage area of transit bus stops at the same time. Due to the use of transportation accessibility and the congestion measures with a MSA implementation, the accessibility measure shows a convergent process over iterations. This nice feature can be used for alternative comparisons. Future research subjects are also discussed.

Suggested Citation

  • Su, Hailong & Wu, Jia Hao & Tan, Yinghui & Bao, Yuanqiu & Song, Bing & He, Xinghua, 2014. "A land use and transportation integration method for land use allocation and transportation strategies in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 329-353.
    • Handle: RePEc:eee:transa:v:69:y:2014:i:c:p:329-353
    DOI: 10.1016/j.tra.2014.08.017
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    References listed on IDEAS

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    1. Walker, W. T. & Gao, Shengyi & Johnston, Robert A., 2007. "UPlan: Geographic Information System as Framework for Integrated Land Use Planning Model," Institute of Transportation Studies, Working Paper Series qt4178v7vg, Institute of Transportation Studies, UC Davis.
    2. DiPasquale, Denise, 1999. "Why Don't We Know More about Housing Supply?," The Journal of Real Estate Finance and Economics, Springer, vol. 18(1), pages 9-23, January.
    3. Waddell, Paul & Ulfarsson, Gudmundur F. & Franklin, Joel P. & Lobb, John, 2007. "Incorporating land use in metropolitan transportation planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 382-410, June.
    4. Rodier, Caroline J., 2005. "Verifying the Accuracy of Land Use Models Used in Transportation and Air Quality: A Case Study in the Sacramento, California Region," Institute of Transportation Studies, Working Paper Series qt01q4148n, Institute of Transportation Studies, UC Davis.
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    Cited by:

    1. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2021. "Comparative accessibility of Chinese airports and high-speed railway stations: A high-resolution, yet scalable framework based on open data," Journal of Air Transport Management, Elsevier, vol. 92(C).
    2. Li, Tongfei & Sun, Huijun & Wu, Jianjun & Ge, Ying-en, 2017. "Optimal toll of new highway in the equilibrium framework of heterogeneous households' residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 123-137.
    3. Na Liao & Xinchen Gu & Yuejian Wang & Hailiang Xu & Zili Fan, 2020. "Analyzing Macro-Level Ecological Change and Micro-Level Farmer Behavior in Manas River Basin, China," Land, MDPI, vol. 9(8), pages 1-17, July.
    4. Yang Chen & Martha M. Bakker & Arend Ligtenberg & Arnold K. Bregt, 2016. "How Are Feedbacks Represented in Land Models?," Land, MDPI, vol. 5(3), pages 1-20, September.
    5. Soria-Lara, Julio A. & Aguilera-Benavente, Francisco & Arranz-López, Aldo, 2016. "Integrating land use and transport practice through spatial metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 330-345.
    6. Zhao, Jiahui & Fan, Wei & Zhai, Xuehao, 2020. "Identification of land-use characteristics using bicycle sharing data: A deep learning approach," Journal of Transport Geography, Elsevier, vol. 82(C).

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