Measuring Spatial Subdivisions in Urban Mobility with Mobile Phone Data

被引:4
|
作者
Graells-Garrido, Eduardo [1 ,2 ]
Meta, Irene [1 ,3 ]
Serra-Buriel, Feliu [1 ,4 ]
Reyes, Patricio [1 ]
Cucchietti, Fernando M. [1 ]
机构
[1] Barcelona Supercomp Ctr BSC, Barcelona, Spain
[2] Univ Desarrollo, Santiago, Spain
[3] Univ Int Catalunya UIC, Barcelona, Spain
[4] Univ Politecn Catalunya UPC, Barcelona, Spain
关键词
Urban Mobility; Mobile Phone Data; Spatial Analysis;
D O I
10.1145/3366424.3384370
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Urban population grows constantly. By 2050 two thirds of the world population will reside in urban areas. This growth is faster and more complex than the ability of cities to measure and plan for their sustainability. To understand what makes a city inclusive for all, we define a methodology to identify and characterize spatial subdivisions: areas with over- and under-representation of specific population groups, named hot and cold spots respectively. Using aggregated mobile phone data, we apply this methodology to the city of Barcelona to assess the mobility of three groups of people: women, elders, and tourists. We find that, within the three groups, cold spots have a lower diversity of amenities and services than hot spots. Also, cold spots of women and tourists tend to have lower population income. These insights apply to the floating population of Barcelona, thus augmenting the scope of how inclusiveness can be analyzed in the city.
引用
收藏
页码:485 / 494
页数:10
相关论文
共 50 条
  • [41] Portraying Temporal Dynamics of Urban Spatial Divisions with Mobile Phone Positioning Data: A Complex Network Approach
    Zhou, Meng
    Yue, Yang
    Li, Qingquan
    Wang, Donggen
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2016, 5 (12)
  • [42] Spatial Distribution Characteristics of People with Small Activity Space in Urban based on Mobile Phone Signaling Data
    Zhang X.
    Wu S.
    Zhao Z.
    Wang P.
    Chen Z.
    Fang Z.
    Journal of Geo-Information Science, 2021, 23 (08) : 1433 - 1445
  • [43] The urban built environment and the mobility of people with visual impairments: analysing the travel behaviours based on mobile phone data
    Kim, Hyungkyoo
    Sohn, Dongwook
    JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING, 2020, 19 (06) : 731 - 741
  • [44] MOBILE PHONE AS A MEASURING DEVICE
    Kondic, Veljko
    Horvat, Marko
    TEHNICKI GLASNIK-TECHNICAL JOURNAL, 2013, 7 (03): : 240 - 246
  • [45] Everyday Life and Spatial Mobility of Young People in Prague: A Pilot Study Using Mobile Phone Location Data
    Novak, Jakub
    Temelova, Jana
    SOCIOLOGICKY CASOPIS-CZECH SOCIOLOGICAL REVIEW, 2012, 48 (05): : 911 - 938
  • [46] Urban Electric Load Forecasting with Mobile Phone Location Data
    Selvarajoo, Stefan
    Schlapfer, Markus
    Tan, Rui
    2018 ASIAN CONFERENCE ON ENERGY, POWER AND TRANSPORTATION ELECTRIFICATION (ACEPT), 2018,
  • [47] Mobile phone data to describe urban practices: An overview in the literature
    SpringerBriefs Appl. Sci. Technol., (13-25):
  • [48] Identifying the Urban Transportation Corridor Based on Mobile Phone Data
    Wang, Yanwei
    Li, Zhiheng
    Li, Li
    Wang, Shuofeng
    Yu, Juntang
    Ke, Ruimin
    2015 IEEE FIRST INTERNATIONAL SMART CITIES CONFERENCE (ISC2), 2015,
  • [49] Urban Traffic Commuting Analysis Based on Mobile Phone Data
    Dong, Honghui
    Ding, Xiaoqing
    MingchaoWu
    Shi, Yan
    Jia, Limin
    Qin, Yong
    Chu, Lianyu
    2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2014, : 611 - 616
  • [50] Using Mobile Phone Data to Predict the Spatial Spread of Cholera
    Linus Bengtsson
    Jean Gaudart
    Xin Lu
    Sandra Moore
    Erik Wetter
    Kankoe Sallah
    Stanislas Rebaudet
    Renaud Piarroux
    Scientific Reports, 5