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Measurement and Prediction of Urban Land Traffic Accessibility and Economic Contact Based on GIS: A Case Study of Land Transportation in Shandong Province, China

Author

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  • Zhiguo Shao

    (School of Management Engineering, Qingdao University of Technology, Qingdao 266520, China
    School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Li Zhang

    (School of Management Engineering, Qingdao University of Technology, Qingdao 266520, China)

  • Chuanfeng Han

    (School of Economics and Management, Tongji University, Shanghai 200092, China
    School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China)

  • Lingpeng Meng

    (China (Shanghai) Free Trade Zone Supply Chain Research Institute, Shanghai Maritime University, Shanghai 201306, China)

Abstract

As the basic support of regional economic and social development, land transportation is one of the important engines to promote regional development, and its construction and improvement will have an important impact on the regional economic pattern. Based on the road network of Shandong Province, China, in 2020, according to the Medium and Long-term Development Plan of Comprehensive Transportation Network of Shandong Province (2018–2035) , this paper uses the GIS network analysis method, weighted average travel time, modified gravity model and other methods to study the land traffic accessibility and economic relation intensity of prefecture-level cities in Shandong Province, China, in 2020 and 2035. The results show that the distribution of land traffic accessibility in Shandong Province, China, shows a certain regional main road pointing characteristic in 2020, and the urban accessibility level gradually decreases along the Beijing–Shanghai high-speed railway and Jinan-Qingdao high-speed railway to the periphery. In 2035, the land traffic accessibility of Shandong Province, China, will be more spatially distributed as “concentric circles”. From 2020 to 2035, the urban land traffic accessibility and the balance of economic contact in Shandong Province, China, will be improved significantly. The research results can provide a theoretical reference for optimizing the traffic network pattern and promoting urban economic contact in Shandong Province, China.

Suggested Citation

  • Zhiguo Shao & Li Zhang & Chuanfeng Han & Lingpeng Meng, 2022. "Measurement and Prediction of Urban Land Traffic Accessibility and Economic Contact Based on GIS: A Case Study of Land Transportation in Shandong Province, China," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14867-:d:970326
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    1. Ivana Martinčević & Predrag Brlek & Nives Domjan Kačarević, 2022. "Mobility as a Service (MaaS) as a Sustainability Concept for Tourist Destinations," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    2. Treb Allen & Costas Arkolakis, 2022. "The Welfare Effects of Transportation Infrastructure Improvements," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 2911-2957.
    3. Mun, Se-il, 1997. "Transport Network and System of Cities," Journal of Urban Economics, Elsevier, vol. 42(2), pages 205-221, September.
    4. Vladislav Krivda & Jan Petru & David Macha & Jakub Novak, 2021. "Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility," Sustainability, MDPI, vol. 13(5), pages 1-38, March.
    5. Makoto Okumura & Kiyoshi Kobayashi, 1997. "The growth of city systems with high-speed railway systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 39-56.
    6. Russo, Francesco & Musolino, Giuseppe, 2012. "A unifying modelling framework to simulate the Spatial Economic Transport Interaction process at urban and national scales," Journal of Transport Geography, Elsevier, vol. 24(C), pages 189-197.
    7. Matsumoto, Hidenobu, 2004. "International urban systems and air passenger and cargo flows: some calculations," Journal of Air Transport Management, Elsevier, vol. 10(4), pages 239-247.
    8. Fengjian Ge & Wanxu Chen & Yuanyuan Zeng & Jiangfeng Li, 2021. "The Nexus between Urbanization and Traffic Accessibility in the Middle Reaches of the Yangtze River Urban Agglomerations, China," IJERPH, MDPI, vol. 18(7), pages 1-17, April.
    9. Matisziw, T.C. & Grubesic, T.H., 2010. "Evaluating locational accessibility to the US air transportation system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 710-722, November.
    10. Moyano, Amparo & Moya-Gómez, Borja & Gutiérrez, Javier, 2018. "Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis," Journal of Transport Geography, Elsevier, vol. 73(C), pages 84-93.
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    3. Aike Kan & Qing Xiang & Xiao Yang & Huiseng Xu & Xiaoxiang Yu & Hong Huang, 2023. "Revealing the Environmental Characteristics of Towns in the Middle Himalayas Using a Geographic Information System and Self-Organizing Map," Sustainability, MDPI, vol. 15(20), pages 1-15, October.

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