Gender Gaps in the Use of Urban Space in Seoul: Analyzing Spatial Patterns of Temporary Populations Using Mobile Phone Data

被引:7
|
作者
Jo, Areum [1 ]
Lee, Sang-Kyeong [1 ]
Kim, Jaecheol [1 ]
机构
[1] Gachon Univ, Dept Urban Planning & Landscape Architecture, Seongnamdaero 1342, Seongnam 13120, South Korea
关键词
gender equality; temporary population; mobile phone data; spatial regression model; CENSUS; CITY;
D O I
10.3390/su12166481
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study aims to examine the gender gaps in the use of urban space in Seoul, Korea, to provide empirical evidence for urban planning for gender equality. We analyzed daily temporary populations that were estimated using mobile phone data. We used the total, women's, and men's temporary populations as well as the subtraction of the temporary population of men from that of women (SMW) as dependent variables. We first conducted a visual analysis on temporary population density using kernel density estimation and then conducted a further analysis using spatial autocorrelation indicators and spatial regression models. The results demonstrate that: (1) Temporary population patterns for women and men showed similarities in that both were larger in business areas than in residential areas, which means that a large number of women were engaged in economic activities like men; (2) the pattern for SMW showed the opposite, that is, women were more active in residential areas and areas where neighborhood retail shops, cultural facilities, parks, and department stores were easily accessible; and (3) both women's temporary population and SMW had spatial autocorrelation and thus showed clustering patterns that can be helpful in urban planning for gender equality in Korea.
引用
收藏
页数:22
相关论文
共 29 条
  • [1] Revealing Gender Disparities in Urban Green Space Utilization Using Mobile Phone Data
    Huang, Xiankai
    Yang, Qijun
    Gu, Dandan
    Zhang, Xiaoyuan
    Wang, Jiahong
    Zheng, Yaomin
    Zhang, Xun
    Feng, Yongheng
    Shi, Jinlian
    Yang, Hongbo
    ECOSYSTEM HEALTH AND SUSTAINABILITY, 2024, 10
  • [2] A Bayesian spatio-temporal model to analyzing the stability of patterns of population distribution in an urban space using mobile phone data
    Wang, Zhensheng
    Yue, Yang
    He, Biao
    Nie, Ke
    Tu, Wei
    Du, Qingyun
    Li, Qingquan
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2021, 35 (01) : 116 - 134
  • [3] Discovering urban and country dynamics from mobile phone data with spatial correlation patterns
    Trasarti, Roberto
    Olteanu-Raimond, Ana-Maria
    Nanni, Mirco
    Couronne, Thomas
    Furletti, Barbara
    Giannotti, Fosca
    Smoreda, Zbigniew
    Ziemlicki, Cezary
    TELECOMMUNICATIONS POLICY, 2015, 39 (3-4) : 347 - 362
  • [4] Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models
    Panigutti, Cecilia
    Tizzoni, Michele
    Bajardi, Paolo
    Smoreda, Zbigniew
    Colizza, Vittoria
    ROYAL SOCIETY OPEN SCIENCE, 2017, 4 (05):
  • [5] 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
  • [6] Identifying Urban Residents' Activity Space at Multiple Geographic Scales Using Mobile Phone Data
    Gong, Lunsheng
    Jin, Meihan
    Liu, Qiang
    Gong, Yongxi
    Liu, Yu
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (04)
  • [7] How friends share urban space: An exploratory spatiotemporal analysis using mobile phone data
    Xu, Yang
    Belyi, Alexander
    Bojic, Iva
    Ratti, Carlo
    TRANSACTIONS IN GIS, 2017, 21 (03) : 468 - 487
  • [8] Light in the darkness: Urban nightlife, analyzing the impact and recovery of COVID-19 using mobile phone data
    Santiago-Iglesias, Enrique
    Romanillos, Gustavo
    Sun, Wenzhe
    Schmocker, Jan-Dirk
    Moya-Gomez, Borja
    Garcia-Palomares, Juan Carlos
    CITIES, 2024, 153
  • [9] Exploring temporal and spatial reliability of individual activity space measurements using massive mobile phone data
    Xiong, Qiangqiang
    Liu, Yaolin
    Xing, Lijun
    Xie, Peng
    Liu, Yanfang
    TRANSACTIONS IN GIS, 2022, 26 (06) : 2669 - 2690
  • [10] Evaluating the impact of land-use density and mix on spatiotemporal urban activity patterns: an exploratory study using mobile phone data
    Jacobs-Crisioni, Chris
    Rietveld, Piet
    Koomen, Eric
    Tranos, Emmanouil
    ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE, 2014, 46 (11): : 2769 - 2785