Difference of urban development in China from the perspective of passenger transport around Spring Festival |
| |
| Institution: | 1. Shenzhen Key Laboratory of Urban Planning and Decision Making, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, PR China;2. Center of Urban and Landscape Planning, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, PR China;3. Shenzhen Key Laboratory of Traffic Information and Traffic Engineering, Shenzhen 518021, PR China;1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;2. Guandgong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Services and Research Institute of Smart Cities, Shenzhen University, Shenzhen 518060, China;3. Department of Urban Informatics, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China;4. Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China;5. School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, Hubei, China;1. Department of Human Geography and Planning, Utrecht University, The Netherlands;2. Faculty of Sciences Brussels, DGES-IGEAT, Université libre de Bruxelles (ULB), Belgium;3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China;4. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;5. LISER, Luxembourg |
| |
| Abstract: | Because cities have different attractions for laborers, people migrate from city to city, which may widen the gap between cities. Analyzing the fluxes and directions of migrant flows can help us clarify the regional difference of urban development. Using migration data inferred from passenger travels during 2016 Spring Festival from Tencent Location Big Data, this paper analyzed the unbalanced migration between cities and the spatial difference of urban development. Network analysis methods are employed to evaluate interactions among cities. A community detection method identifies 19 city communities, and the directions of migrant flows in the communities are explored. The PageRank algorithm is employed to evaluate the importance of cities on the migration network and divide the cities into 5 grades, and then the hierarchical structure of the migrant network is illustrated and analyzed. Indices based on migrant populations indicate that the most attractive cities for laborers are along the east coast and that cities in the central region export a significant number of laborers. PageRank and attractiveness values are compare with socio-economic data, and the results indicate that both PageRank and attractiveness are positively correlated with the economic and development level of cities, while PageRank works better. It suggests that Spring Festival travel data in China can be used as migration data, however, it should be facilitated with network methods to disclose the relationship between Spring Festival travel and urban development. |
| |
| Keywords: | Urban development Spring Festival transport Crowdsourcing data Network analysis Spatial interaction |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
