Areas of Habitation in the City: Improving Urban Management Based on Check-in Data and Mental Mapping

被引:1
作者
Nenko, Aleksandra [1 ]
Koniukhov, Artem [1 ]
Petrova, Marina [1 ]
机构
[1] ITMO Univ, 14 Birzhevaya Line, St Petersburg 199034, Russia
来源
ELECTRONIC GOVERNANCE AND OPEN SOCIETY: CHALLENGES IN EURASIA, EGOSE 2018 | 2019年 / 947卷
基金
俄罗斯科学基金会;
关键词
Areas of habitation; LBSN; Check-in data; Mental mapping; Mixed methods; Urban management;
D O I
10.1007/978-3-030-13283-5_18
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
In this paper we present a study on areas of habitation in St. Petersburg, Russia, which are actively used and perceived by city dwellers as coherent units. The motivation behind the study is to define generic urban areas formed by actual user experience and different from administrative division to improve urban management of the city territory. We employ mixed methods approach to account both for users' practices in urban space, based on analysis of check-in data, and users' perception of urban space, based on analysis of mental maps. The clustering algorithm is based on spatial and social proximity indexes and has been validated through the results of the mental mapping survey. The dataset of check-ins is retrieved from VKontakte social network, the most popular one for St. Petersburg and for Russia, and comprises 6128 venues with 763079 check-ins collected for December 2017-February 2018 time period. The mental mapping has been conducted within 39 users of different age and gender, representing different areas of the city under study. We compare the borders of the areas of habitation with the map of administrative division, consider functional load of the areas in different areas of the city, define environmental factors which form the borders, give suggestions on how knowledge on areas of habitation could inform and improve urban management practice.
引用
收藏
页码:235 / 248
页数:14
相关论文
共 24 条
  • [1] [Anonymous], 2011, P 3 ACM SIGSPATIAL I
  • [2] [Anonymous], 1960, IMAGE CITY
  • [3] Campari I., 1996, GEOGRAPHIC OBJECTS I, P57
  • [4] Cranshaw J., 2012, P ICWSM DUBL IR
  • [5] User Needs and Implications for Modelling Vague Named Places
    Davies, Clare
    Holt, Ian
    Green, Jenny
    Harding, Jenny
    Diamond, Lucy
    [J]. SPATIAL COGNITION AND COMPUTATION, 2009, 9 (03) : 174 - 194
  • [6] Eigenbehaviors: identifying structure in routine
    Eagle, Nathan
    Pentland, Alex Sandy
    [J]. BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY, 2009, 63 (07) : 1057 - 1066
  • [7] Egenhofer MJ, 1995, LECT NOTES COMPUT SC, V988, P1
  • [8] Discovering Routines from Large-Scale Human Locations using Probabilistic Topic Models
    Farrahi, Katayoun
    Gatica-Perez, Daniel
    [J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2011, 2 (01)
  • [9] Ferrari L., 2011, 2011 IEEE INT C PERV
  • [10] Discovering Spatial Interaction Communities from Mobile Phone Data
    Gao, Song
    Liu, Yu
    Wang, Yaoli
    Ma, Xiujun
    [J]. TRANSACTIONS IN GIS, 2013, 17 (03) : 463 - 481