Spatial-Temporal Distribution and Coupling Relationship of High-Speed Railway and Economic Networks in Metropolitan Areas of China
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- Jin, Mengjie & Lin, Kun-Chin & Shi, Wenming & Lee, Paul T.W. & Li, Kevin X., 2020. "Impacts of high-speed railways on economic growth and disparity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 158-171.
- Chia-Lin Chen & Roger Vickerman, 2017. "Can transport infrastructure change regions’ economic fortunes? Some evidence from Europe and China," Regional Studies, Taylor & Francis Journals, vol. 51(1), pages 144-160, January.
- Maparu, Tuhin Subhra & Mazumder, Tarak Nath, 2017. "Transport infrastructure, economic development and urbanization in India (1990–2011): Is there any causal relationship?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 319-336.
- Andres Monzon & Elena Lopez & Emilio Ortega, 2019. "Has HSR improved territorial cohesion in Spain? An accessibility analysis of the first 25 years: 1990–2015," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 513-532, March.
- Komikado, Hiroshi & Morikawa, So & Bhatt, Ayushman & Kato, Hironori, 2021. "High-speed rail, inter-regional accessibility, and regional innovation: Evidence from Japan," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
- Gabriel M Ahlfeldt & Arne Feddersen, 2018.
"From periphery to core: measuring agglomeration effects using high-speed rail,"
Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 355-390.
- Gabriel M. Ahlfeldt & Arne Feddersen, 2015. "From Periphery to Core: Measuring Agglomeration Effects Using High-Speed Rail," SERC Discussion Papers 0172, Centre for Economic Performance, LSE.
- Ahlfeldt, Gabriel M. & Feddersen, Arne, 2018. "From periphery to core: measuring agglomeration effects using high-speed rail," LSE Research Online Documents on Economics 69763, London School of Economics and Political Science, LSE Library.
- Ahlfeldt, Gabriel M. & Feddersen, Arne, 2015. "From periphery to core: measuring agglomeration effects using high-speed rail," LSE Research Online Documents on Economics 64507, London School of Economics and Political Science, LSE Library.
- Wang, Lvhua & Liu, Yongxue & Sun, Chao & Liu, Yahui, 2016. "Accessibility impact of the present and future high-speed rail network: A case study of Jiangsu Province, China," Journal of Transport Geography, Elsevier, vol. 54(C), pages 161-172.
- Benedikt Mandel & Marc Gaudry & Werner Rothengatter, 1997. "A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(2), pages 99-120.
- Liu, Liwen & Zhang, Ming, 2018. "High-speed rail impacts on travel times, accessibility, and economic productivity: A benchmarking analysis in city-cluster regions of China," Journal of Transport Geography, Elsevier, vol. 73(C), pages 25-40.
- Wang, Yao & Dong, Weijia, 2022. "How China's high-speed rail promote local economy: New evidence from county-level panel data," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 67-81.
- Begoña Guirao & Natalia Casado-Sanz & Juan Luis Campa, 2020. "Labour opportunities provided by Spanish high-speed rail (HSR) commuting services in a period of financial crisis: an approach based on regional wage disparities and housing rental prices," Regional Studies, Taylor & Francis Journals, vol. 54(4), pages 539-549, April.
- Zhang, Weiping & Zhuang, Xintian & Lu, Yang & Wang, Jian, 2020. "Spatial linkage of volatility spillovers and its explanation across G20 stock markets: A network framework," International Review of Financial Analysis, Elsevier, vol. 71(C).
- Yong Fan & Shengdi Zhang & Zongyi He & Biao He & Haicong Yu & Xiaoxiao Ye & Hao Yang & Xiangmin Zhang & Zhifeng Chi, 2018. "Spatial Pattern and Evolution of Urban System Based on Gravity Model and Whole Network Analysis in the Huaihe River Basin of China," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-11, June.
- Kim, Hyojin & Sultana, Selima, 2015. "The impacts of high-speed rail extensions on accessibility and spatial equity changes in South Korea from 2004 to 2018," Journal of Transport Geography, Elsevier, vol. 45(C), pages 48-61.
- Jiao, Jingjuan & Wang, Jiaoe & Zhang, Fangni & Jin, Fengjun & Liu, Wei, 2020. "Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China," Transport Policy, Elsevier, vol. 91(C), pages 1-15.
- Jinxing Hu & Guojie Ma & Chaohai Shen & Xiaolan Zhou, 2022. "Impact of Urbanization through High-Speed Rail on Regional Development with the Interaction of Socioeconomic Factors: A View of Regional Industrial Structure," Land, MDPI, vol. 11(10), pages 1-21, October.
- Daniel F Heuermann & Johannes F Schmieder, 2019.
"The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in Germany,"
Journal of Economic Geography, Oxford University Press, vol. 19(2), pages 335-372.
- Daniel F. Heuermann & Johannes F. Schmieder, 2018. "The Effect of Infrastructure on Worker Mobility: Evidence from High-Speed Rail Expansion in Germany," NBER Working Papers 24507, National Bureau of Economic Research, Inc.
- (Ato) Xu, Wangtu & Huang, Ying, 2019. "The correlation between HSR construction and economic development – Empirical study of Chinese cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 24-36.
- Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
- Guo, Ying & Cao, Lingyan & Song, Ying & Wang, Yan & Li, Yongkui, 2022. "Understanding the formation of City-HSR network: A case study of Yangtze River Delta, China," Transport Policy, Elsevier, vol. 116(C), pages 315-326.
- Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
- Glaeser, Edward L. & Kahn, Matthew E. & Rappaport, Jordan, 2008.
"Why do the poor live in cities The role of public transportation,"
Journal of Urban Economics, Elsevier, vol. 63(1), pages 1-24, January.
- Rappaport, Jordan & Kahn, Matthew E. & Glaeser, Edward, 2008. "Why Do The Poor Live In Cities? The Role of Public Transportation," Scholarly Articles 2958224, Harvard University Department of Economics.
- Liu, Shuli & Wan, Yulai & Zhang, Anming, 2020. "Does China’s high-speed rail development lead to regional disparities? A network perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 299-321.
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- Fanlong Zeng & Huaping Sun, 2024. "Spatial Network Analysis of Coupling Coordination between Digital Financial Inclusion and Common Prosperity in the Yangtze River Delta Urban Agglomeration," Mathematics, MDPI, vol. 12(9), pages 1-25, April.
- Yuan Yi & Fang He & Yuxuan Si, 2023. "Spatial Effects of Railway Network Construction on Urban Sprawl and Its Mechanisms: Evidence from Yangtze River Delta Urban Agglomeration, China," Land, MDPI, vol. 13(1), pages 1-20, December.
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Keywords
metropolitan area; high-speed railway network; economic network; emerging economies; spatial-temporal distribution; coupling relationship;All these keywords.
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