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Transportation Interrelation Embedded in Regional Development: The Characteristics and Drivers of Road Transportation Interrelation in Guangdong Province, China

Author

Listed:
  • Lu Yang

    (School of Environment and Energy, South China University of Technology, Guangzhou 510006, China)

  • Dan Wu

    (School of Public Administration, Hainan University, Haikou 570000, China
    Hainan University–UC Davis Energy and Transportation Joint Research Center, Hainan University, Haikou 570000, China)

  • Shuhui Cao

    (School of Environment and Energy, South China University of Technology, Guangzhou 510006, China)

  • Weinan Zhang

    (School of Environment and Energy, South China University of Technology, Guangzhou 510006, China)

  • Zebin Zheng

    (School of Environment and Energy, South China University of Technology, Guangzhou 510006, China)

  • Li Liu

    (School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
    Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, South China University of Technology, Guangzhou 510006, China
    The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China)

Abstract

Unbalanced regional development is often accompanied by a heterogeneity in regional transportation. The relationship between the interrelation of regional transportation and economic connections among cities remains unclear. This study attempts to explicate the structural characteristics of the spatial interrelation network of road transportation in Guangdong province. This study analyzes road traffic data in Guangdong province from 2015 to 2020 using a gravity model, social network analysis, and the quadratic assignment procedure (QAP). The results indicate that the spatial network of road transportation interrelations in Guangdong province have obvious core–periphery features. The intercity transportation interrelation in Guangdong province is significantly correlated with the differences in population density, vehicle population, and tourism resources, as well as the distance between cities; however, the effects of these factors vary across different regions. To promote balanced regional development, Guangdong province should strengthen the transportation interrelation between peripheral cities and other cities to raise the position of peripheral cities in the network. Introducing the required personnel and developing tourism resources with regional features would help develop peripheral cities that have a low population density and abundant tourism resources. This provincial transportation development strategy should consider balancing the development of mega metropolitan areas and non-coastal, small- and medium-sized cities to balance regional development.

Suggested Citation

  • Lu Yang & Dan Wu & Shuhui Cao & Weinan Zhang & Zebin Zheng & Li Liu, 2022. "Transportation Interrelation Embedded in Regional Development: The Characteristics and Drivers of Road Transportation Interrelation in Guangdong Province, China," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:5925-:d:814940
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    1. Jing Liu & Huapu Lu & Mingyu Chen & Jianyu Wang & Ying Zhang, 2020. "Macro Perspective Research on Transportation Safety: An Empirical Analysis of Network Characteristics and Vulnerability," Sustainability, MDPI, vol. 12(15), pages 1-18, August.
    2. Rui Jin & Jianya Gong & Min Deng & Yiliang Wan & Xuexi Yang, 2018. "A Framework for Spatiotemporal Analysis of Regional Economic Agglomeration Patterns," Sustainability, MDPI, vol. 10(8), pages 1-22, August.
    3. Sihong Chen & Jianchao Xi & Menghao Liu & Tao Li, 2020. "Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways," Complexity, Hindawi, vol. 2020, pages 1-22, July.
    4. Hu, Xisheng & Wu, Chengzhen & Wang, Jiankai & Qiu, Rongzu, 2018. "Identification of spatial variation in road network and its driving patterns: Economy and population," Regional Science and Urban Economics, Elsevier, vol. 71(C), pages 37-45.
    5. Wenqian Ke & Wei Chen & Zhaoyuan Yu, 2017. "Uncovering Spatial Structures of Regional City Networks from Expressway Traffic Flow Data: A Case Study from Jiangsu Province, China," Sustainability, MDPI, vol. 9(9), pages 1-16, August.
    6. Dong Xu & Guolin Hou, 2019. "The Spatiotemporal Coupling Characteristics of Regional Urbanization and Its Influencing Factors: Taking the Yangtze River Delta as an Example," Sustainability, MDPI, vol. 11(3), pages 1-19, February.
    7. Wei Li & Hao Li & Huixia Zhang & Shuang Sun, 2016. "The Analysis of CO 2 Emissions and Reduction Potential in China’s Transport Sector," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-12, January.
    8. Lin, Jingyi, 2012. "Network analysis of China’s aviation system, statistical and spatial structure," Journal of Transport Geography, Elsevier, vol. 22(C), pages 109-117.
    9. Pradhan, Rudra P. & Bagchi, Tapan P., 2013. "Effect of transportation infrastructure on economic growth in India: The VECM approach," Research in Transportation Economics, Elsevier, vol. 38(1), pages 139-148.
    10. Kollias, Christos & Paleologou, Suzanna-Maria, 2013. "Guns, highways and economic growth in the United States," Economic Modelling, Elsevier, vol. 30(C), pages 449-455.
    11. Guoping Xiong & Xin Cao & Nicholas A. S. Hamm & Tao Lin & Guoqin Zhang & Binghong Chen, 2021. "Unbalanced Development Characteristics and Driving Mechanisms of Regional Urban Spatial Form: A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 13(6), pages 1-39, March.
    12. Chenxi Li & Xing Gao & Bao-Jie He & Jingyao Wu & Kening Wu, 2019. "Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
    13. Rougoor, Ward & van Marrewijk, Charles, 2015. "Demography, Growth, and Global Income Inequality," World Development, Elsevier, vol. 74(C), pages 220-232.
    14. Taizeng Ren & Muhlis Can & Sudharshan Reddy Paramati & Jianchun Fang & Wanshan Wu, 2019. "The Impact of Tourism Quality on Economic Development and Environment: Evidence from Mediterranean Countries," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    15. Binbin Du & Qiaoya Zheng & Xue Bai & Longyu Shi & Xian Shen, 2020. "Research on Evolution Pattern and Spatial Correlation between Economic Development and Environmental Pollution Centers of Gravity," Sustainability, MDPI, vol. 12(19), pages 1-14, September.
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