Citations (43)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (13)
Joaquín Osorio Arjona, Javier Sebastián Ruíz Santacruz & Julia de las Obras-Loscertales Sampériz. (2023) Mapping of functional areas in Spain based on mobile phone data during different phases of the COVID-19 pandemic. Journal of Maps 19:1.
Read now
Read now
Håvard Wallin Aagesen, Olle Järv & Philippe Gerber. (2022) The effect of COVID-19 on cross-border mobilities of people and functional border regions: the Nordic case study from Twitter data. Geografiska Annaler: Series B, Human Geography 0:0, pages 1-23.
Read now
Read now
Anto Aasa, Pilleriine Kamenjuk, Erki Saluveer, Jan Šimbera & Janika Raun. (2021) Spatial interpolation of mobile positioning data for population statistics. Journal of Location Based Services 15:4, pages 239-260.
Read now
Read now
Siiri Silm, Jussi S. Jauhiainen, Janika Raun & Margus Tiru. (2021) Temporary population mobilities between Estonia and Finland based on mobile phone data and the emergence of a cross-border region. European Planning Studies 29:4, pages 699-719.
Read now
Read now
Marián Halás, Vojtěch Blažek, Pavel Klapka & Stanislav Kraft. (2021) Population movements based on mobile phone location data: the Czech Republic. Journal of Maps 17:1, pages 116-122.
Read now
Read now
Jiří Nemeškal, Martin Ouředníček & Lucie Pospíšilová. (2020) Temporality of urban space: daily rhythms of a typical week day in the Prague metropolitan area. Journal of Maps 16:1, pages 30-39.
Read now
Read now
Martin Šveda & Peter Barlík. (2018) Daily commuting in the Bratislava metropolitan area: case study with mobile positioning data. Papers in Applied Geography 4:4, pages 409-423.
Read now
Read now
Martin Ouředníček, Jiří Nemeškal, Petra Špačková, Martin Hampl & Jakub Novák. (2018) A synthetic approach to the delimitation of the Prague Metropolitan Area. Journal of Maps 14:1, pages 26-33.
Read now
Read now
José Manuel Casado-Díaz, Lucas Martínez-Bernabéu & Francisco Rowe. (2017) An evolutionary approach to the delimitation of labour market areas: an empirical application for Chile. Spatial Economic Analysis 12:4, pages 379-403.
Read now
Read now
Mike J. Smith. (2016) Summary of activities 2015. Journal of Maps 12:1, pages 1-11.
Read now
Read now
Eran Razin & Igal Charney. (2015) Metropolitan dynamics in Israel: an emerging “metropolitan island state”?. Urban Geography 36:8, pages 1131-1148.
Read now
Read now
Mike J. Smith. (2014) Editorial: Summary of Activities 2013. Journal of Maps 10:1, pages 1-8.
Read now
Read now
Jeremy R. Porter & Frank M. Howell. (2013) Implementing research in the social sciences with spatial data and ‘Not-So-New’ issues to watch out for. Journal of Maps 9:1, pages 1-3.
Read now
Read now
Articles from other publishers (30)
Bing Xue, Xiao Xiao, Jingzhong Li, Bingyu Zhao & Bo Fu. (2022) Multi-source Data-driven Identification of Urban Functional Areas: A Case of Shenyang, China. Chinese Geographical Science 33:1, pages 21-35.
Crossref
Crossref
Stefano Maria Iacus, Carlos Santamaria, Francesco Sermi, Spyridon Spyratos, Dario Tarchi & Michele Vespe. (2021) Mobility functional areas and COVID-19 spread. Transportation 49:6, pages 1999-2025.
Crossref
Crossref
Zhen Xu, Yingying Wu, Xintian Hao, Nan Li & Dongping Fang. (2022) A joint analysis method for capability and demand of post-earthquake medical rescue in a city. International Journal of Disaster Risk Reduction 80, pages 103249.
Crossref
Crossref
M Rodríguez, J Molina & J A Camacho. (2022) Mapping functional areas in Spain using mobile positioning data. European Urban and Regional Studies 29:2, pages 145-151.
Crossref
Crossref
Krešimir Vidović, Petar Čolić, Saša Vojvodić & Anamarija Blavicki. (2022) Methodology for public transport mode detection using telecom big data sets: case study in Croatia. Transportation Research Procedia 64, pages 76-83.
Crossref
Crossref
Jun Li, Yan Zhu, Juqing Liu, Chengye Zhang, Xiao Sang & Qianqian Zhong. (2021) Parcel‐level evaluation of urban land use efficiency based on multisource spatiotemporal data: A case study of Ningbo City, China. Transactions in GIS 25:6, pages 2766-2790.
Crossref
Crossref
Sandra Hadam. (2021) Pendler Mobil: Die Verwendung von Mobilfunkdaten zur Unterstützung der amtlichen PendlerstatistikPendler Mobil: The use of mobile network data to support official commuter statistics.. AStA Wirtschafts- und Sozialstatistisches Archiv 15:3-4, pages 197-235.
Crossref
Crossref
Francis Rathinam, Sayak Khatua, Zeba Siddiqui, Manya Malik, Pallavi Duggal, Samantha Watson & Xavier Vollenweider. (2021) Using big data for evaluating development outcomes: A systematic map. Campbell Systematic Reviews 17:3.
Crossref
Crossref
Tamás Egedy & Bence Ságvári. (2021) Urban geographical patterns of the relationship between mobile communication, social networks and economic development – the case of Hungary. Hungarian Geographical Bulletin 70:2, pages 129-148.
Crossref
Crossref
Riley Tucker, Daniel T. O’Brien, Alexandra Ciomek, Edgar Castro, Qi Wang & Nolan Edward Phillips. (2021) Who ‘Tweets’ Where and When, and How Does it Help Understand Crime Rates at Places? Measuring the Presence of Tourists and Commuters in Ambient Populations. Journal of Quantitative Criminology 37:2, pages 333-359.
Crossref
Crossref
Elias Willberg, Olle Järv, Tuomas Väisänen & Tuuli Toivonen. (2021) Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland. ISPRS International Journal of Geo-Information 10:2, pages 103.
Crossref
Crossref
Stanislav Kraft, Tomáš Květoň, Vojtěch Blažek, Lukáš Pojsl & Jiří Rypl. (2020) Travel diaries, GPS loggers and Smartphone applications in mapping the daily mobility patterns of students in an urban environment. Moravian Geographical Reports 28:4, pages 259-268.
Crossref
Crossref
Age Poom, Olle Järv, Matthew Zook & Tuuli Toivonen. (2020) COVID-19 is spatial: Ensuring that mobile Big Data is used for social good. Big Data & Society 7:2, pages 205395172095208.
Crossref
Crossref
Moloud Abdar & Neil Y. Yen. (2020) Analysis of user preference and expectation on shared economy platform: An examination of correlation between points of interest on Airbnb. Computers in Human Behavior 107, pages 105730.
Crossref
Crossref
Zhenghong Peng, Ru Wang, Lingbo Liu & Hao Wu. (2020) Fine-Scale Dasymetric Population Mapping with Mobile Phone and Building Use Data Based on Grid Voronoi Method. ISPRS International Journal of Geo-Information 9:6, pages 344.
Crossref
Crossref
Jiri Horak, Jan Tesla, David Fojtik & Vit Vozenilek. (2019) Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava. Sustainability 11:24, pages 7098.
Crossref
Crossref
Beibei Yu, Zhonghui Wang, Haowei Mu, Li Sun & Fengning Hu. (2019) Identification of Urban Functional Regions Based on Floating Car Track Data and POI Data. Sustainability 11:23, pages 6541.
Crossref
Crossref
Hao Wu, Lingbo Liu, Yang Yu, Zhenghong Peng, Hongzan Jiao & Qiang Niu. (2019) An Agent-based Model Simulation of Human Mobility Based on Mobile Phone Data: How Commuting Relates to Congestion. ISPRS International Journal of Geo-Information 8:7, pages 313.
Crossref
Crossref
A.V. VEREMCHUK & М.А. ROZBYCKYJ. (2019) ROZBYCKYJ М.А. Estimation of Big Data Potential in Labour Migration Research. Demography and social economy:1, pages 196-208.
Crossref
Crossref
Lingbo Liu, Zhenghong Peng, Hao Wu, Hongzan Jiao & Yang Yu. (2018) Exploring Urban Spatial Feature with Dasymetric Mapping Based on Mobile Phone Data and LUR-2SFCAe Method. Sustainability 10:7, pages 2432.
Crossref
Crossref
Josep Maria Salanova Grau, Evangelos Mitsakis, Panagiotis Tzenos, Iraklis Stamos, Luigi Selmi & Georgia Aifadopoulou. (2018) Multisource Data Framework for Road Traffic State Estimation. Journal of Advanced Transportation 2018, pages 1-9.
Crossref
Crossref
David Martin, Christopher Gale, Samantha Cockings & Andrew Harfoot. (2018) Origin-destination geodemographics for analysis of travel to work flows. Computers, Environment and Urban Systems 67, pages 68-79.
Crossref
Crossref
Jan Peters-Anders, Zaheer Khan, Wolfgang Loibl, Helmut Augustin & Arno Breinbauer. (2017) Dynamic, Interactive and Visual Analysis of Population Distribution and Mobility Dynamics in an Urban Environment Using the Mobility Explorer Framework. Information 8:2, pages 56.
Crossref
Crossref
Kun Gao, Yiwei Zhu, Songjie Gong & Hengsong Tan. (2016) Location privacy protection algorithm for mobile networks. EURASIP Journal on Wireless Communications and Networking 2016:1.
Crossref
Crossref
Miroslav MaradaViktor Květoň. (2016) Transport Supply and Demand Changes in Relation to Unemployment: Empirical Evidence from the Czech Republic in a Time of Crisis. Tijdschrift voor economische en sociale geografie 107:5, pages 611-627.
Crossref
Crossref
Ivana Semanjski & Sidharta Gautama. (2015) Smart City Mobility Application—Gradient Boosting Trees for Mobility Prediction and Analysis Based on Crowdsourced Data. Sensors 15:7, pages 15974-15987.
Crossref
Crossref
Simone Aniello Di Donna, Guido Cantelmo & Francesco Viti. (2015) A Markov chain dynamic model for trip generation and distribution based on CDR. A Markov chain dynamic model for trip generation and distribution based on CDR.
John Steenbruggen, Emmanouil Tranos & Peter Nijkamp. (2015) Data from mobile phone operators: A tool for smarter cities?. Telecommunications Policy 39:3-4, pages 335-346.
Crossref
Crossref
Daniel Seidenglanz. (2014) Transport geography in the Czech Republic and Slovakia. Journal of Transport Geography 41, pages 350-352.
Crossref
Crossref
Zhen Xu, Yingying Wu, Xintian Hao, Nan Li & Dongping Fang. (2022) A Joint Analysis Method for Capability and Demand of Post-Earthquake Medical Rescue in a City. SSRN Electronic Journal.
Crossref
Crossref