Research on Traffic Accessibility and Transportation Integration Level of Chang-Zhu-Tan City Group in China
- 1 National-Local Joint Engineering Laboratory of GEO-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China
- 2 National-Local Joint Engineering Laboratory of GEO-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China
- 3 National-Local Joint Engineering Laboratory of GEO-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China
- 4 National-Local Joint Engineering Laboratory of GEO-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China
- 5 National-Local Joint Engineering Laboratory of GEO-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan, China
Abstract
Aiming at the problem of lack of data model to analyze the level of transportation integration, the paper taking Changsha-Zhuzhou-Xiangtan City Group of China as the research object, based on the Gravity measurement model, transportation comprehensive distance model, weighted road density model, analysis of Changsha-Zhuzhou-Xiangtan City Group accessibility and transportation integration level. A new method to measure the level of traffic integration is proposed and verified by the road network data and socio-economic data of Changsha-Zhuzhou-Xiangtan City Group. The results show that: Changsha-Zhuzhou-Xiangtan City Group traffic accessibility was “point to surface” shape distribution, taking the core region of Changsha as the optimal, Xiangtan, Zhuzhou, Changsha County next, in remote Yanling County, Chaling county has the lowest accessibility; the correlation between traffic network connection degree and economic connection degree reached 0.871, indicating that the transportation integration level of urban agglomerations has a high degree of fit with the level of economic integration. The research results on the one hand for the Chang-Zhuzhou-Xiangtan urban agglomeration traffic present situation to make an annotation; on the other hand, that provide a reference for further optimization of Changsha-Zhuzhou-Xiangtan urban agglomeration traffic planning.
- Hansen, W.J. (1959) How Accessibility Shapes Land Use. Journal of the American Planning Association, 25, 73-76. https://doi.org/10.1080/01944365908978307
- Rode, P. (2017) Accessibility in Cities: Transport and Urban Form. LSE Cities, London School of Economics & Political Science, London.
- Li, T., Wen, X.B., et al. (2017) Study on the Impact of the Spatial Pattern of Tourist Attractions in the Pearl River Delta with Intercity Rail Construction. Geomatics & Spatial Information Technology, 40, 15-19.
- Liang, Y., Zheng, X.Q. and Bai, S.J. (2016) The Accessibility Research of Jing-Jin-Ji Road Network Using Space Syntax Model. Bulletin of Surveying and Mapping, No. 10, 101-105.
- Zhang, M. and Hu, D. (2016) The Coupling-Coordination Relationship between Accessibility and Economic Linkage in Jing-Jin-Ji Metropolitan Area. 2016 International Conference on Logistics, Informatics and Service Sciences (LISS), Sydney, 1-6.
- Kelobonye, K., McCarney, G. Xia, J.H., Hasan Swapan, M.S., Mao, F. and Zhou, H. (2019) Relative Accessibility Analysis for Key Land Uses: A Spatial Equity Perspective. Journal of Transport Geography, 75, 82-93. https://doi.org/10.1016/j.jtrangeo.2019.01.015
- Meng, D., Li, Y., et al. (2019) Analysis of Regional Traffic Dominance Based on Different Indicators-Taking Shandong Province as an Example. IOP Conference Series: Earth and Environmental Science, 381, Article ID: 012063. https://doi.org/10.1088/1755-1315/381/1/012063
- Michael, J., Steven, F. and Tijs, N. (2015) Spatiotemporal Accessibility to Supermarkets Using Public Transit: An Interaction Potential Approach in Cincinnati, Ohio. Journal of Transport Geography, 42, 72-83. https://doi.org/10.1016/j.jtrangeo.2014.11.004
- Wu, X.C. (2002) Principles and Methods of Geographical Information Systems. Publish House of Electronics Industry, Beijing.
- Zhang, Y., Xu, S., Kang, F. and Yin, S. (2019) Improvement of Regional Spatial Interaction Based on Spatial Traffic System Accessibility: A Case Study in Shandong Province, China. In: Li, D. and Zhao, C., Eds., Computer and Computing Technologies in Agriculture XI. CCTA 2017. IFIP Advances in Information and Communication Technology, Volume 546, Springer, Cham.
- Li, T., Wu, J., Sun, H., et al. (2016) Integrated Co-Evolution Model of Land Use and Traffic Network Design. Networks and Spatial Economics, 16, 579.
- Liu, R., Hu, W.P., et al. (2011) The Road Network Evolution of Guangzhou-Foshan Metropolitan Area Based on Kernel Density Estimation. Scientia Geographica Sinica, 31, 81-86.