Analyzing impact of the Beijing-Guangzhou high-speed railway on cities along the Hebei section based on remote sensing monitoring
SU Boxiong1,2(), WU Mingquan1,2(), NIU Zheng1,2, CHEN Fang2,3, HUANG Wenjiang1,2
1. Aerospace Information Research Institute, Key Laboratory of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China 2. University of Chinese Academy of Sciences, Beijing 100049, China 3. Key Laboratory of Digital Earth Science, Chinese Academy of Sciences, Beijing 100094, China
At present, the impacts of high-speed railways (HSRs) on cities along rail lines remain unclear. Previous analyses of these impacts based on remote sensing data focused primarily on qualitative assessment. Given this, this study investigated the Hebei section of the Beijing-Guangzhou HSR and introduced a remote sensing monitoring-based method that integrated qualitative and quantitative analyses for assessing the impacts of HSR on urban development. First, this study established a parameter index system used to characterize urban development changes. Then, multi-source and multi-scale remote sensing data were employed to monitor the spatiotemporal variations in these indices before and after the operation of the Beijing-Guangzhou HSR within this study area. Finally, four cities that were adjacent to the study area but lacked available HSRs were selected as a control group. Using the difference-in-differences (DID) model, this study quantified the impacts of HSRs on four cities along the Hebei section. The results indicate that the four cities along the Hebei section of the Beijing-Guangzhou HSR saw a rapid expansion in the construction land between 2005 and 2020, with an average annual expansion rate of 2.00%. The HSR construction exerted a significant impact on the direction of urban expansion, with the impact related to the spatial relationship between both. Compared to the four cities in the control group, the operation of the Beijing-Guangzhou HSR has slowed down the expansion rates of urban areas in the four cities along the line.
China Academy of Urban Planning and Design. GB/T 50280—98 standard for basic terminology of urban planning[S]. Beijing: State Administration for Market Regulation,1998.
[2]
Vendemmia B. Big infrastructures effects on local developments:The case of Naples Metropolitan Area[J]. TeMA -Journal of Land Use,Mobility and Environment, 2011, 4(3):87-99.
[3]
Ewing R, Handy S. Measuring the unmeasurable:Urban design qualities related to walkability[J]. Journal of Urban Design, 2009, 14(1):65-84.
Li T Z, Yang X M, Zhao X S, et al. High-speed rail’s influence on urban and regional spatial development:A review[J]. Urban Development Studies, 2013, 20(2):71-79.
Tang K Y. The influence of high-speed railway on the economic development of station cities along the line:A case study of Harbin-Dalian high speed railway and Zhengzhou-Xi’an high speed railway[J]. Journal of Beijing Jiaotong University (Social Sciences Edition), 2020, 19(4):45-61.
Yu C, Li Y F, Lin F, et al. Analysis on influence of Tianjin-Bao-ding railway on accessibility of adjacent cities based on GIS[J]. Railway Transport and Economy, 2017, 39(5):18-22.
Zhang Z, Wang X M, Jiang Y H, et al. The influence of China-Laos-Thailand railway construction on spatial relation between cities along the route:Based on city flow network analysis[J]. World Regional Studies, 2019, 28(3):43-53.
[9]
Diao M. Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China[J]. Transportation Research Part A:Policy and Practice, 2018, 113:279-290.
[10]
Huang Y, Zong H. Has high-speed railway promoted spatial equity at different levels? A case study of inland mountainous area of China[J]. Cities, 2021, 110:103076.
[11]
Shao Z G, Zhang L, Han C T, et al. Measurement and prediction of urban land traffic accessibility and economic contact based on GIS:A case study of land transportation in Shandong Province,China[J]. International Journal of Environmental Research and Public Health, 2022, 19(22):14867.
[12]
Ye C, Zheng Y H, Lin S L, et al. The impact of high-speed railway opening on regional economic growth:The case of the Wuhan-Guangzhou high-speed railway line[J]. Sustainability, 2022, 14(18):11390.
[13]
Puga D. Agglomeration and cross-border infrastructure[J]. EIB Papers, 2008, 13(2):102-124.
[14]
Gutiérrez J, González R, Gómez G. The European high-speed train network:Predicted effects on accessibility patterns[J]. Journal of Transport Geography, 1996, 4(4):227-238.
Dai X Z, Xu M, Li J. The efficiency and spatial equity impacts of Beijing-Shanghai high-speed rail on neighboring cities[J]. Economic Geography, 2016, 36(3):72-77,108.
Li X, Liu X Y, Li W D, et al. Influence of Beijing-Shanghai high-speed railway opening on real estate employment:Based on DID model[J]. China Transportation Review, 2022, 44(3):24-28,54.
Cheng W J, Mo D X, Liang X Y, et al. Impact of China Shenhuang railway dedicated coal line on regional industrial structure:Empirical research based on DID model[J]. Coal Economic Research, 2020, 40(1):4-10.
Huang Z Y, Wu L C. Impact of Beijing-Shanghai high-speed railway on the economy of cities along the route:An empirical analysis based on the theory of space economics[J]. Macroeconomics, 2020(2):165-175.
Wu J X, Liu X Y. High-speed railways and rural poverty:Evidence from remote sensing data[J]. World Economic Papers, 2022(1):1-17.
[21]
Okamoto C, Sato Y. Impacts of high-speed rail construction on urban agglomerations:Evidence from Kyushu in Japan[J]. Journal of Asian Economics Journal, 2021, 76:101364.
Zhang Y Q, Liu C. Study on the influence of high-speed railway construction on the regional development along the line of Jiangsu Province:Estimation based on double difference model[J]. Logistics Sci-Tech, 2021, 44(1):85-88.
[23]
Jin M J, Lin K C, Shi W M, et al. Impacts of high-speed railways on economic growth and disparity in China[J]. Transportation Research Part A:Policy and Practice, 2020, 138:158-171.
Liu C L, Chang J, Liu N, et al. Study of the effect of high-speed railway construction on the changes of surrounding area land use:Based the high speed railway of Beijing to Shanghai in Shandong Province[J]. Journal of Xi’an University of Technology, 2020, 36(3):367-375,423.
Xu P, Zhang X X, Yan W B, et al. Urban transportation infrastructure and its effects on regional development in Yancheng:A spatial analysis perspective[J]. Journal of Geo-Information Science, 2013, 15(1):29-37.
[26]
Yang J, Huang X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J]. Earth System Science Data, 2021, 13(8):3907-3925.
Zhong X Y, Yan Q W, Li G E. Development of time series of nighttime light dataset of China(2000—2020)[J]. Journal of Global Change Data and Discovery, 2022, 6(3):416-424,593-601.
[28]
Yu C H, Zhou Q, Li J L, et al. Foundation model drives weakly incremental learning for semantic segmentation[C]// 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).Vancouver,BC,Canada:IEEE, 2023: 23685-23694.
Deng L Y, Shen Z F, Ke Y M. Built-up area extraction and urban expansion analysis based on remote sensing images[J]. Journal of Geo-Information Science, 2018, 20(7):996-1003.
Chen M Z, Zhang W K, Zheng R B. Does high speed railway promote the economic activities of cities and towns along the line:Evidence from dual source night lighting[J]. Journal of China University of Geosciences (Social Sciences Edition), 2021, 21(6):119-133.