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A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China

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  • Hong Xu

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China
    Hubei Provincial Engineering Research Center of Urban Regeneration, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Jin Zhao

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Xincan Yu

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Xiaoxia Mei

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Xinle Zhang

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Chuanjie Yan

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

Abstract

Planning transportation networks between urban and rural areas is of crucial importance for the integration of urban and rural development, for socio-economic connectivity, and for sustainable growth. The study offers a model assembly approach in order to logically plan an integrated urban–rural transportation network that may support the coordinated development of its living–production–ecological space. Within this approach, the ordinary least squares (OLS) linear regression analysis method is used to investigate the correlation between urban and rural areas of a transportation network and the influencing factors in the living–production–ecological space so as to objectively analyze their degree of influence. These factors are size of town, urban and rural settlements, life services, supporting transportation facilities, trunk layout, external transport links, cargo hubs, logistics and transportation, enterprise distribution, agricultural production, terrain, distribution of water systems, tourism resources, heritage preservation, and ecological protection. The analytic hierarchy method is used to assign weight to the urban and rural transportation network planning impact index system. As a result, a transportation network planning decision hierarchy model is implemented to identify suitable areas for urban and rural transportation network construction and to provide guidance and reference for planning. Jiangxia District, Wuhan, China is selected as the study area to verify the feasibility and effectiveness of the model. The findings indicate that the influencing factors of urban and rural industrial and ecological space have a significant impact on the transportation network in the research area. Planning should prioritize optimizing the central region’s transportation network structure and enhancing traffic flow between urban and rural communities, which is effectively in line with the current reality. The suggested approach is helpful in establishing case-study-specific planning and development strategies of urban and rural integrated transportation networks in the age of big data, as well as in balancing these influencing factors in living, production, and ecological spaces when planning an integrated urban and rural transportation network.

Suggested Citation

  • Hong Xu & Jin Zhao & Xincan Yu & Xiaoxia Mei & Xinle Zhang & Chuanjie Yan, 2023. "A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China," Sustainability, MDPI, vol. 15(15), pages 1-23, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11876-:d:1208892
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    References listed on IDEAS

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    1. Suwastika Naidu & Anand Chand, 2012. "Barriers to micro, small and medium enterprise growth in the Fiji Islands: an empirical estimation using OLS regression model," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 16(2), pages 147-163.
    2. Małgorzata Dudzińska & Stanisław Bacior & Barbara Prus, 2019. "Motorway Route Planning with Regarding the Adverse Effects on Agricultural Production Space," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    3. Mustafa Hamurcu & Tamer Eren, 2020. "Strategic Planning Based on Sustainability for Urban Transportation: An Application to Decision-Making," Sustainability, MDPI, vol. 12(9), pages 1-24, April.
    4. Madjid Tavana & Mehdi Soltanifar & Francisco J. Santos-Arteaga, 2023. "Analytical hierarchy process: revolution and evolution," Annals of Operations Research, Springer, vol. 326(2), pages 879-907, July.
    5. Fu Wang & Manqing Ye & Hongbin Zhu & Dengjun Gu, 2022. "Optimization Method for Conventional Bus Stop Placement and the Bus Line Network Based on the Voronoi Diagram," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    6. Geniaux, Ghislain & Martinetti, Davide, 2018. "A new method for dealing simultaneously with spatial autocorrelation and spatial heterogeneity in regression models," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 74-85.
    7. Piotr Prus & Marek Sikora, 2021. "The Impact of Transport Infrastructure on the Sustainable Development of the Region—Case Study," Agriculture, MDPI, vol. 11(4), pages 1-15, March.
    8. Yu, Haitao & Jiao, Junfeng & Houston, Eric & Peng, Zhong-Ren, 2018. "Evaluating the relationship between rail transit and industrial agglomeration: An observation from the Dallas-fort worth region, TX," Journal of Transport Geography, Elsevier, vol. 67(C), pages 33-52.
    9. Zhaoyang Cai & Jianwei Yan, 2018. "The planning and design of road network structure in urban railway transit hub areas," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 13(3), pages 198-203.
    10. Ng, Choy Peng & Law, Teik Hua & Wong, Shaw Voon & Kulanthayan, S., 2017. "Relative improvements in road mobility as compared to improvements in road accessibility and economic growth: A cross-country analysis," Transport Policy, Elsevier, vol. 60(C), pages 24-33.
    11. Shushan Chai & Qinghuai Liang & Simin Zhong, 2019. "Design of Urban Rail Transit Network Constrained by Urban Road Network, Trips and Land-Use Characteristics," Sustainability, MDPI, vol. 11(21), pages 1-23, November.
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