Exploring collective activity space and its spatial heterogeneity using mobile phone signaling Data: A case of Shenzhen, China

被引:5
作者
Li, Juan [1 ]
Zhao, Pengjun [1 ,2 ]
Zhang, Mengzhu [1 ]
Deng, Yiling [3 ]
Liu, Qiyang [1 ]
Cui, Yanzhe [1 ]
Gong, Zhaoya [1 ]
Liu, Juan [1 ]
Tan, Wenchang [4 ]
机构
[1] Peking Univ, Sch Urban Planning & Design, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
[2] Peking Univ, Coll Urban & Environm Sci, Beijing 100000, Peoples R China
[3] Zhejiang Univ Technol, Sch Design & Architecture, 288 Liuhe Rd, Hangzhou 310023, Peoples R China
[4] Peking Univ, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
关键词
Activity space; Regularly visited places; Mobile phone signaling data; Urban planning; TRAVEL BEHAVIOR; SOCIAL MEDIA; LOCATION; PATTERNS; ACCESS; TIME; GEOGRAPHIES; SEGREGATION; VARIABILITY; RESIDENTS;
D O I
10.1016/j.tbs.2024.100920
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The planning ethos of providing proximity-based services to all inhabitants has been prevailing recently, and underlines the importance of knowing areal differences in collective activity space (AS) of populations. Mobile phone signaling data (MSD) has great potentials for this end, especially in mega-cities with fast changing and spatially varying demographic composition. However, two problems need to be addressed when applying MSDbased AS measurement for planning practices, including the identification of regularly visited locations and the selection of measure indices. This paper proposes a three-step workflow to apply the MSD to measure local collective AS with considering addressing the problems. This three-step workflow aims to illustrate the procedure of using MSD to measure collective AS for supporting planning practice in urban China, with clarifying some key concerns when doing so. We apply the workflow to examine the spatial heterogeneity of the collective AS in Shenzhen City and discuss the transferability of the workflow in different social and institutional contexts.
引用
收藏
页数:15
相关论文
共 92 条
[1]   The 15-minute city quantified using human mobility data [J].
Abbiasov, Timur ;
Heine, Cate ;
Sabouri, Sadegh ;
Salazar-Miranda, Arianna ;
Santi, Paolo ;
Glaeser, Edward ;
Ratti, Carlo .
NATURE HUMAN BEHAVIOUR, 2024, 8 (03) :445-455
[2]   Everyday space-time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn [J].
Ahas, R. ;
Aasa, A. ;
Yuan, Y. ;
Raubal, M. ;
Smoreda, Z. ;
Liu, Y. ;
Ziemlicki, C. ;
Tiru, M. ;
Zook, M. .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2015, 29 (11) :2017-2039
[3]   Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones [J].
Ahas, Rein ;
Silm, Siiri ;
Jarv, Olle ;
Saluveer, Erki ;
Tiru, Margus .
JOURNAL OF URBAN TECHNOLOGY, 2010, 17 (01) :3-27
[4]   Evidence for a conserved quantity in human mobility [J].
Alessandretti, Laura ;
Sapiezynski, Piotr ;
Sekara, Vedran ;
Lehmann, Sune ;
Baronchelli, Andrea .
NATURE HUMAN BEHAVIOUR, 2018, 2 (07) :485-491
[5]   Origin-destination trips by purpose and time of day inferred from mobile phone data [J].
Alexander, Lauren ;
Jiang, Shan ;
Murga, Mikel ;
Gonzalez, Marta C. .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2015, 58 :240-250
[6]  
Allam Z, 2022, LANCET PLANET HEALTH, V6, pE181, DOI 10.1016/S2542-5196(22)00014-6
[7]   Human mobility: Models and applications [J].
Barbosa, Hugo ;
Barthelemy, Marc ;
Ghoshal, Gourab ;
James, Charlotte R. ;
Lenormand, Maxime ;
Louail, Thomas ;
Menezes, Ronaldo ;
Ramasco, Jose J. ;
Simini, Filippo ;
Tomasini, Marcello .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2018, 734 :1-74
[8]   Statistical laws in urban mobility from microscopic GPS data in the area of Florence [J].
Bazzani, Armando ;
Giorgini, Bruno ;
Rambaldi, Sandro ;
Gallotti, Riccardo ;
Giovannini, Luca .
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2010,
[9]   Differences in the recreational value of urban parks between weekdays and weekends: A discrete choice analysis [J].
Bertram, Christine ;
Meyerhoff, Juergen ;
Rehdanz, Katrin ;
Wuestemann, Henry .
LANDSCAPE AND URBAN PLANNING, 2017, 159 :5-14
[10]   Inferring patterns of internal migration from mobile phone call records: evidence from Rwanda [J].
Blumenstock, Joshua E. .
INFORMATION TECHNOLOGY FOR DEVELOPMENT, 2012, 18 (02) :107-125