{"title":"Research on Collective Human Mobility in Shanghai Based on Cell Phone Data","authors":"Xiyuan Ren, De Wang","doi":"10.4018/ijepr.2020010103","DOIUrl":null,"url":null,"abstract":"The high-frequency mobility of a massive population has caused an enormous influence on the urban internal structure, which is unable to be described by traditional data sources. While recent advances in location-based technologies provides new opportunities for researchers to understand daily human movements and the structure as a whole. The article aims to explore human spatial movements and their aggregate distribution in Shanghai using large-scale cell phone data. The trajectory of each individual is extracted from cell phone data after data cleansing. Then, an indicator system which includes mobility intensity, mobility stability, influential range, and temporal variation is developed to describe collective human mobility features in census tracts scale. Finally, spatial elements are extracted using the indicator system and the structure of human mobility in Shanghai is discussed.","PeriodicalId":43769,"journal":{"name":"International Journal of E-Planning Research","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijepr.2020010103","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of E-Planning Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijepr.2020010103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"REGIONAL & URBAN PLANNING","Score":null,"Total":0}
引用次数: 0
Abstract
The high-frequency mobility of a massive population has caused an enormous influence on the urban internal structure, which is unable to be described by traditional data sources. While recent advances in location-based technologies provides new opportunities for researchers to understand daily human movements and the structure as a whole. The article aims to explore human spatial movements and their aggregate distribution in Shanghai using large-scale cell phone data. The trajectory of each individual is extracted from cell phone data after data cleansing. Then, an indicator system which includes mobility intensity, mobility stability, influential range, and temporal variation is developed to describe collective human mobility features in census tracts scale. Finally, spatial elements are extracted using the indicator system and the structure of human mobility in Shanghai is discussed.
期刊介绍:
The mission of the International Journal of E-Planning Research (IJEPR) is to provide scholars, researchers, students, and urban and regional planning practitioners with analytical and theoretically-informed empirical research on e-planning, as well as evidence on best-practices of e-planning, in both urban and regional planning fields. The journal aims to establish itself as a reference for information on e-planning issues and is committed to provide a forum for an international exchange of ideas on urban e-planning research and practice.