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Optimization and Application of Integrated Land Use and Transportation Model in Small- and Medium-Sized Cities in China

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  • Shuhong Ma

    (School of Highway, Chang’an University, Xi’an 710000, China)

  • Yan Zhang

    (School of Highway, Chang’an University, Xi’an 710000, China)

  • Chaoxu Sun

    (Zhejiang Jinquli Natural Gas Company Co., Ltd., Hangzhou 310016, China)

Abstract

Integrated land use and transportation models are helpful when policy, planning, or environment impacts are being evaluated, but the strengths and limitations in these models must be optimized. To optimize the ITLUP (Integrated Transportation and Land-Use Planning) model and apply it in small- and medium-sized cities in China, this study considered the constraints of land use intensity and introduced two critical indicators (the maximum number of households and maximum employment) to characterize the land capacity and improve the practicality of the model. Then, Monte Carlo simulation analysis was used to analyze the uncertainty factors using the coefficient of variation (C.V) and standardized regression coefficient (SRC). The results suggest that the maximum future employment and households may exceed the land limit and must be adjusted to a new zone, and the model operation simulation was closer to the actual situation of small- and medium-sized cities. The C.V value of the model output showed the increasing trend of the uncertainty of the model output variable over time, especially affected by DRAM model parameters, traffic demand forecasting model parameters and the peak hourly flow ratio. Such findings are meaningful for policymakers, planners, and others when the ITLUP model is used to anticipate the zonal employment and household allocation and to further explore the interaction between land use and transportation.

Suggested Citation

  • Shuhong Ma & Yan Zhang & Chaoxu Sun, 2019. "Optimization and Application of Integrated Land Use and Transportation Model in Small- and Medium-Sized Cities in China," Sustainability, MDPI, vol. 11(9), pages 1-14, May.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2555-:d:227923
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    References listed on IDEAS

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    1. J D Hunt & D C Simmonds, 1993. "Theory and Application of an Integrated Land-Use and Transport Modelling Framework," Environment and Planning B, , vol. 20(2), pages 221-244, April.
    2. Stephen H. Putman, 1998. "Results from Implementation of Integrated Transportation and Land Use Models in Metropolitan Regions," Advances in Spatial Science, in: Lars Lundqvist & Lars-Göran Mattsson & Tschangho John Kim (ed.), Network Infrastructure and the Urban Environment, chapter 15, pages 268-287, Springer.
    3. Yong Zhao & Kara Maria Kockelman, 2002. "The propagation of uncertainty through travel demand models: An exploratory analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 36(1), pages 145-163.
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    Cited by:

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    2. David Jung-Hwi Lee & Jean-Michel Guldmann, 2023. "Optimal Regional Allocation of Future Population and Employment under Urban Boundary and Density Constraints: A Spatial Interaction Modeling Approach," Land, MDPI, vol. 12(2), pages 1-33, February.
    3. Ashenafi Mehari & Paolo Vincenzo Genovese, 2023. "A Land Use Planning Literature Review: Literature Path, Planning Contexts, Optimization Methods, and Bibliometric Methods," Land, MDPI, vol. 12(11), pages 1-41, October.
    4. Yifan Zhu & Chengkang Wang & Takeru Sakai, 2019. "Remote Sensing-Based Analysis of Landscape Pattern Evolution in Industrial Rural Areas: A Case of Southern Jiangsu, China," Sustainability, MDPI, vol. 11(18), pages 1-19, September.

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