Population movements based on mobile phone location data: the Czech Republic

被引:6
|
作者
Halas, Marian [1 ]
Blazek, Vojtech [2 ]
Klapka, Pavel [1 ]
Kraft, Stanislav [2 ]
机构
[1] Palacky Univ Olomouc, Dept Geog, Fac Sci, 17 Listopadu 12, Olomouc 77146, Czech Republic
[2] Univ South Bohemia Ceske Budejovice, Dept Geog, Fac Educ, Ceske Budejovice, Czech Republic
来源
JOURNAL OF MAPS | 2021年 / 17卷 / 01期
关键词
Visualisation of origin-destination flows; mobile phone location data; functional regions; the Czech Republic; LABOR MARKET AREAS; FUNCTIONAL REGIONS; VISUALIZATION; DEFINITION; PATTERNS; LAYOUT;
D O I
10.1080/17445647.2021.1937730
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
The paper presents new approaches to the visualisation of origin-destination flows, in which all three basic parameters of flows between pairs of geographic objects are cartographically expressed simply and clearly: the length of flows, their intensity, and the proportional distribution of both directions between pairs of objects (polarisation of flows). The data on population movements based on mobile phone location are used as the input information, which were collected from the whole territory of the Czech Republic. Apart from the visualisation of origin-destination flows, the paper addresses the issue of the transformation of these data through the application of two different interaction measures. The transformed flows are also cartographically visualised and the functional regions based on the respective interaction measures are used as base maps.
引用
收藏
页码:116 / 122
页数:7
相关论文
共 50 条
  • [1] MOBILE PHONE USE IN SHOPPING PROCESS: A CASE FROM THE CZECH REPUBLIC
    Zelenka, Lenka
    Tluchor, Jan
    Janecek, Petr
    OPPORTUNITIES AND THREATS TO CURRENT BUSINESS MANAGEMENT IN CROSS-BORDER COMPARISON 2017, 2017, 33 : 183 - 194
  • [2] A Dynamic Model for Urban Population Density Estimation Using Mobile Phone Location Data
    Dan, YuFang
    He, Zhongshi
    ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 3, 2010, : 277 - 281
  • [3] Fine-grained prediction of urban population using mobile phone location data
    Chen, Jie
    Pei, Tao
    Shaw, Shih-Lung
    Lu, Feng
    Li, Mingxiao
    Cheng, Shifen
    Liu, Xiliang
    Zhang, Hengcai
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2018, 32 (09) : 1770 - 1786
  • [4] Profile based location update for cellular network using mobile phone data
    Smita Parija
    Swati Swayamsiddha
    Prasanna Kumar Sahu
    Sudhansu Sekhar Singh
    Microsystem Technologies, 2021, 27 : 369 - 377
  • [5] Profile based location update for cellular network using mobile phone data
    Parija, Smita
    Swayamsiddha, Swati
    Sahu, Prasanna Kumar
    Singh, Sudhansu Sekhar
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2021, 27 (02): : 369 - 377
  • [6] Characterizing and Removing Oscillations in Mobile Phone Location Data
    Katsikouli, Panagiota
    Fiore, Marco
    Furno, Angelo
    Stanica, Razvan
    2019 IEEE 20TH INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (WOWMOM), 2019,
  • [7] Designing Mobile Phone Interface for Active Seniors: User Study in Czech Republic
    Slavicek, Tomas
    Balata, Jan
    Mikovec, Zdenek
    2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), 2014, : 109 - 114
  • [8] Population Distributions of Age Groups and Their Influencing Factors Based on Mobile Phone Location Data: A Case Study of Beijing, China
    Wang, Wenlai
    Pei, Tao
    Chen, Jie
    Song, Ci
    Wang, Xi
    Shu, Hua
    Ma, Ting
    Du, Yunyan
    SUSTAINABILITY, 2019, 11 (24)
  • [9] Identifying the use of a park based on clusters of visitors' movements from mobile phone data
    Pierdicca, Roberto
    Paolanti, Marina
    Vaira, Raffaele
    Marcheggiani, Ernesto
    Malinverni, Eva Savina
    Frontoni, Emanuele
    JOURNAL OF SPATIAL INFORMATION SCIENCE, 2019, (19): : 29 - 52
  • [10] Improving emergency evacuation planning with mobile phone location data
    Yin, Ling
    Chen, Jie
    Zhang, Hao
    Yang, Zhile
    Wan, Qiao
    Ning, Li
    Hu, Jinxing
    Yu, Qi
    ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2020, 47 (06) : 964 - 980