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Comparative Analysis of Metro Passengers’Mobility Patterns and jobs-housing balance of Metropolitan

Journal of Geodesy and Geoinformation Science 2024年第2期7卷 1-17页

作者： HUANG Yiman ZHANG Anshu SU Yuezhu SHI Wenzhong Department of Land Surveying and Geo-Informatics The Hong Kong Polytechnic UniversityHong Kong 999077China Otto Poon Charitable Foundation Smart Cities Research Institute and Department of and Land Surveying and Geo-Informatics The Hong Kong Polytechnic UniversityHong Kong 999077China

The advent of the big data era has provided many types of transportation datasets,such as metro smart card data,for studying residents’mobility and understanding how their mobility has been shaped and is shaping the urban *** this paper,we use metro smart card data from two Chinese metropolises,Shanghai and *** metro mobility indicators are introduced,and association rules are established to explore the mobility *** proportion of people entering and exiting the station is used to measure the jobs-housing *** is found that the average travel distance and duration of Shanghai passengers are higher than those of Shenzhen,and the proportion of metro commuters in Shanghai is higher than that of *** jobs-housing spatial relationship in Shenzhen based on metro travel is more balanced than that in *** fundamental reason for the differences between the two cities is the difference in urban *** with the monocentric structure of Shanghai,the polycentric structure of Shenzhen results in more scattered travel hotspots and more diverse travel routes,which helps Shenzhen to have a better jobs-housing *** paper fills a gap in comparative research among Chinese cities based on transportation big data *** results provide support for planning metro routes,adjusting urban structure and land use to form a more reasonable metro network,and balancing the jobs-housing spatial relationship.

关键词： metro smart card data mobility patterns association rules jobs-housing balance

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Excess Commuting in Transitional Urban China:A Case Study of Guangzhou

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Chinese Geographical Science 2016年第5期26卷 599-608页

作者： LIU Wangbao HOU Quan School of Geography Science South China Normal UniversityGuangzhou 510631China Shenzhen Institute of Building Re-search Co. Ltd.Department of GeographyShenzhen 518033China Hong Kong Baptist University Kowloon TongHong Kong999077China

During the reform era, Chinese cities witnessed dramatic institutional transformation and spatial restructuring in general and profound change of commuting patterns in particular. Using household surveys collected in Guangzhou, China, in 2001, 2005 and 2010, excess commuting measurements are estimated. Excess commuting shows an overall trend of increasing during 1990–1999, and then declining during 2000–2010. We argue that deepening marketization of the jobs and housing sectors has induced spatial separation of jobs and housing. In other words, institutional transition and urban spatial restructuring are underpinning the changes of commuting patterns in Chinese cities. Excess commuting has strong relationship with individual socio-demographic status, which is by and large due to the increasing flexibilities of jobs and housing location choices enjoyed by urban residents. The findings call for considerations on balancing jobs-housing in making public policies relevant to urban development in general, and land use and transportation in particular.

关键词： excess commuting jobs-housing balance spatial restructuring Guangzhou China

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中国中西部大城市的职住平衡与通勤效率

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地理 2014年第1期

作者：周江评陈晓键黄伟于鹏张纯

城市规划和政策若追求减少小汽车依赖，增加公共交通的吸引力和改善生活品质，职住平衡是当中不可忽视的问题、甚至是策略。既有职住平衡研究很少审视发展中的城市，尤其是中国西部城市。本文提出了影响职住平衡的6组因素，而职住平衡... 详细信息

城市规划和政策若追求减少小汽车依赖，增加公共交通的吸引力和改善生活品质，职住平衡是当中不可忽视的问题、甚至是策略。既有职住平衡研究很少审视发展中的城市，尤其是中国西部城市。本文提出了影响职住平衡的6组因素，而职住平衡影响通勤效率。6组因素对于不同发展阶段的城市影响也不同。因此有必要辨识出影响发展中城市的具体因素以便改善其职住平衡和通勤效率。改善职住平衡和通勤效率有助于这些城市吸引人才和提高它们在交通机动性、生活品质和可持续方面的竞争力。利用2011年西安市居民交通调查的59967个样本，研究了该市的通勤效率、职住平衡和过剩通勤，并和其它国内外城市可比指标进行比较。本文发现西安平均通勤距离较短，通勤效率较高。从交通分析小区的水平，西安职工的平均通勤距离和工作岗位/居民数量和工作岗位总数成反比。当地单位大院的职住平衡和通勤效率较好，但正在降低。

关键词：西安职住平衡通勤效率过剩通勤 Xi'an jobs-housing balance commute efficiency excessive commute

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