From the Guest Editors: Mobility, Communication, and Urban Space
Journal of Urban TechnologyPublished 3 April 2014
Rein Ahas, Harvey J. Miller, Frank Witlox
Citations8
SJR quartileQ1
SJR score1.19
SNIP1.66
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This special issue of Journal of Urban Technology aims to provide an overview of how mobile positioning data are used in geographical studies, as a conclusion of the Mobile Tartu 2012 Conference that was held in Estonia during August 22–25, 2012.
Abstract
Click to increase image sizeClick to decrease image size AcknowledgmentsThis themed issue resulted from the Mobile Tartu 2012 research seminar and International summer school for PhD students. We want to acknowledge our thanks to the delegates, and would like to express our thanks to our colleagues who accepted our invitation to submit a paper for this themed issue. For financial support we thank Mobile Tartu; Estonian Information Technology Foundation (HITSA); EU Regional Development Foundation, Env. Conservation & Technology R&D Program project TERIKVANT 3.2.0802.11-0043; the Institutional Research Grant IUT2-17 of the Ministry of Education and Science; Doctoral School in Economics and Innovation; and Doctoral School of Ecology and Earth Sciences. We would like to thank one person in particular; i.e., the editor-in-chief of The Journal of Urban Technology, Richard Hanley, for his support, patience, and important help in putting together this special issue.
Keywords
Social SciencesComputer Science
NatureUnderstanding individual human mobility patterns
6,079 Citations2008Marta C. González, César A. Hidalgo +1 more
The trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six-month period is studied, finding that, in contrast with the random trajectories predicted by the prevailing Lévy flight and random walk models, human trajectories show a high degree of temporal and spatial regularity.
IEEE Transactions on Intelligent Transportation SystemsReal-Time Urban Monitoring Using Cell Phones: A Case Study in Rome
618 Citations2010Francesco Calabrese, Massimo Colonna +3 more
A new real-time urban monitoring system that marks the unprecedented monitoring of a large urban area, which covered most of the city of Rome, in real time using a variety of sensing systems and will hopefully open the way to a new paradigm of understanding and optimizing urban dynamics.
Journal of Systems and SoftwareA survey on privacy in mobile participatory sensing applications
412 Citations2011Delphine Christin, Andreas Reinhardt +2 more
This survey identifies the sensing modalities used in current participatory sensing applications, and assess the threats to user privacy when personal information is sensed and disclosed, and identifies open issues and possible solutions to guarantee user privacy in Participatory sensing.
Journal of Urban TechnologyUsing Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones
367 Citations2010Rein Ahas, Siiri Silm +3 more
A model for the location of meaningful places for mobile telephone users, such as home and work anchor points, using passive mobile positioning data is introduced, revealing that the developed model described the geography of the population relatively well, and can hence be used in geographical and urban studies.
Tourism ManagementEvaluating passive mobile positioning data for tourism surveys: An Estonian case study
303 Citations2007Rein Ahas, Anto Aasa +3 more
The results proved that mobile positioning data has valuable applications for geographical studies, and showed that positioning data have advantages: data can be collected for larger spatial units and in less visited areas; spatial and temporal preciseness is higher than for regular tourism statistics.
Computers Environment and Urban SystemsCorrelating mobile phone usage and travel behavior – A case study of Harbin, China
245 Citations2011Yihong Yuan, Martin Raubal +1 more
A deeper understanding of how usage of mobile phones correlates with individual travel behavior is provided by exploring the correlation between mobile phone call frequencies and three indicators of travel behavior: radius, eccentricity, and entropy.
Transportation Research Part C Emerging TechnologiesUnderstanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records
241 Citations2013Olle Järv, Rein Ahas +1 more
Physica A Statistical Mechanics and its ApplicationsExploring the mobility of mobile phone users
227 Citations2012Balázs Csanád Csáji, Arnaud Browet +6 more
The connections between various features of human behavior extracted from a large mobile phone dataset are explored and it is shown that clustering and principal component analysis allow for a significant dimension reduction with limited loss of information.
PLoS ONESocio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data
204 Citations2012Santi Phithakkitnukoon, Zbigniew Smoreda +1 more
A relationship between people’s mobility and their social networks is presented based on an analysis of calling and mobility traces for one year of anonymized call detail records of over one million mobile phone users in Portugal, finding that people are geographically closer to their weak ties than strong ties.
PLoS ONEInterplay between Telecommunications and Face-to-Face Interactions: A Study Using Mobile Phone Data
195 Citations2011Francesco Calabrese, Zbigniew Smoreda +2 more
This study analyzes one year of anonymized telecommunications data for over one million customers from a large European cellphone operator and finds that close to 70% of users who call each other frequently have shared the same space at the same time - an instance that is called co-location.
Transportation Research Part C Emerging TechnologiesTracking survey for individual travel behaviour using mobile communication instruments
194 Citations2004Yasuo Asakura, Eiji Hato
The accuracy of the location positioning is found satisfactory for describing metropolitan scale travel behaviour and the proposed methodologies could be added in the toolbox of travel measurement.
Annals of the Association of American GeographersEthnic Differences in Activity Spaces: A Study of Out-of-Home Nonemployment Activities with Mobile Phone Data
137 Citations2014Siiri Silm, Rein Ahas
Journal of Transport GeographyDeveloping context-sensitive livability indicators for transportation planning: a measurement framework
125 Citations2012Harvey J. Miller, Frank Witlox +1 more
Journal of Transport GeographyEvaluating the reliability of reported distance data in urban travel behaviour analysis
114 Citations2006Frank Witlox
Using household travel survey data collected in 2000 for the city of Ghent, Belgium, the problem of reported distance reliability is examined and it is found that mean detour factors are very much dominated by outliers over short distances, but that rounding has little impact.
Lecture notes in computer scienceExtracting Dynamic Urban Mobility Patterns from Mobile Phone Data
103 Citations2012Yihong Yuan, Martin Raubal
Using hourly time series, a Dynamic Time Warping algorithm is applied to measure the similarity between these time series and investigate the outlier urban areas identified through abnormal mobility patterns.
PLoS ONEMobile Phones in a Traffic Flow: A Geographical Perspective to Evening Rush Hour Traffic Analysis Using Call Detail Records
96 Citations2012Olle Järv, Rein Ahas +3 more
It is found that daily commuting and suburbanites influence transportation demand by amplifying the evening rush hour traffic, although daily commuting trips comprises only 31% of all movement at that time.
Public Opinion QuarterlyThe Impact of Mobile Phones on Survey Measurement Error
67 Citations2012Peter Lynn, Olena Kaminska
This work links cognitive response process theory to theories of mode effects to build a comprehensive framework that identifies ways in which the different context of mobile interviews and differences inherent in the technology can influence survey responses.
International Journal of Human-Computer StudiesAlready up? using mobile phones to track & share sleep behavior
46 Citations2013Alireza Sahami Shirazi, James Clawson +6 more
Somnometer is presented, a social alarm clock for mobile phones that helps users to capture and share their sleep patterns and hypothesize that sharing sleep information with social networks impacts awareness and connectedness among friends.
Utilising Mobile Phone Billing Records for TravelMode Discovery
35 Citations2011John C. Doyle, Peter Hung +3 more
A novel methodology to infer transportation mode taken by mobile device users between regions of interest is introduced, relying on analysing anonymised billing data, namely call detail records, supplied by mobile network operators as the primary source of user-created data.
Transport PolicyData from telecommunication networks for incident management: An exploratory review on transport safety and security
29 Citations2012John Steenbruggen, Maria Teresa Borzacchiello +2 more
Journal of Location Based ServicesMobile positioning for traffic state acquisition
21 Citations2007Katrin Ramm, Volker Schwieger
Different approaches based on least squares adjustment and Kalman filtering are presented and first results from data measured in the vicinity of the city of Stuttgart are presented.
Mobile Phone Data as Source to Discover Spatial Activity and Motion Patterns
21 Citations2012Wolfgang Loibl, Jan Peters-Anders
The application of mobile phone data for exploring population distribution and motion patterns and detecting the dynamics of the distributions is discussed, and an outlook about the expected future progress in data processing and analysis is provided.
Czech Sociological ReviewEveryday Life and Spatial Mobility of Young People in Prague: A Pilot Study Using Mobile Phone Location Data
16 Citations2012Jakub Novák, Jana Temelová
Despite a few technical obstacles in mobile phone location data processing, the pilot study proved the very promising potential of this source, especially in combination with interviews, when studying the patterns of the everyday life and indi- vidual spatial mobility of an urban population.
Activity-Based Analysis
13 Citations2013Harvey J. Miller
Fraunhofer-Publica (Fraunhofer-Gesellschaft)Human mobility from GSM data - A valid alternative to GPS?
12 Citations2022Daniel Schulz, Sebastian Bothe +1 more
This paper evaluates the usability of call detail records for the extraction of mobility quantities and derives several quantities from the simultaneously collected GPS and GSM mobility data of the Nokia Mobile Data Challenge.
Computer NetworksActive tracking in mobile networks: An in-depth view
10 Citations2013Michal Ficek, Tomáš Pop +1 more
An in-depth overview of a particular method, the SMS-based active tracking, is presented, and how this lean and non-intrusive approach is applicable to various existing architectures of mobile networks is demonstrated.
Lecture notes in computer scienceMonitoring Temporary Populations through Cellular Core Network Data
9 Citations2011Fabio Manfredini, Paolo Tagliolato +1 more
This research presents the research showing how this kind of data can help monitoring and mapping spatial and temporal variability of population, visitors and tourists, in the Lombardia region.
Lecture notes in social networksA Local Structure-Based Method for Nodes Clustering: Application to a Large Mobile Phone Social Network
5 Citations2012Alina Stoica, Zbigniew Smoreda +1 more
A method for describing how a node of a given graph is connected to the network and a method for grouping nodes into clusters based on the structure of the network in which they are embedded are presented.