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Understanding spatio-temporal mobility patterns for seniors, child/student and adult using smart card data

X. Huang, J. Tan
2014 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Analyses of such data are important for transportation and landuse designers and contribute to a better understanding of urban dynamics.  ...  These patterns can vary based on the day of the week, the time of the day, and commuter type.  ...  This work explored ways to understand human mobility patterns with quantitative measurements of spatio-temporal features using smart card data.  ... 
doi:10.5194/isprsarchives-xl-1-167-2014 fatcat:gjfcltthsvdtffem4slwaneftu

Using mobility data as proxy for measuring urban vitality

Patrizia Sulis, Ed Manley, Chen Zhong, Michael Batty
2018 Journal of Spatial Information Science  
Diversity is composed of three dynamic attributes: intensity, variability, and consistency, each measuring different temporal variations of mobility flows.  ...  We use smart card data collected from public transport to calculate a diversity value for each research unit.  ...  Thanks also to Steven Gray for his help in the process of collection of the Twitter data.  ... 
doi:10.5311/josis.2018.16.384 fatcat:c24p6jzzjrgrlh6plh4c3ks4re

Determining the optimal spatial and temporal thresholds that maximize the predictive accuracy of the prospective space-time scan statistic (PSTSS) hotspot method

Monsuru Adepeju, Andrew Evans
2018 Journal of Spatial Information Science  
Diversity is composed of three dynamic attributes: intensity, variability, and consistency, each measuring different temporal variations of mobility flows.  ...  We use smart card data collected from public transport to calculate a diversity value for each research unit.  ...  Thanks also to Steven Gray for his help in the process of collection of the Twitter data.  ... 
doi:10.5311/josis.2018.16.362 fatcat:m7ke5qudzzc5tlyuquevgufd5a

Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions

Khatun E Zannat, Charisma F. Choudhury
2019 Journal of the Indian Institute of Science  
(GTB) of the PT user using 1-week records of subway fare card Smart card data Proposed method and smart card data have the potentiality to describe the characteristics and the spatio-temporal pattern  ...  using smart card data Smart card data and GPS trajectories The effects of demographic, land use and transportation factors on the ridership of PT can be explored using GWR analysis using smart card data  ... 
doi:10.1007/s41745-019-00125-9 fatcat:5qm66wzthzejdg67ed6uumbh2a

Variability in Regularity: Mining Temporal Mobility Patterns in London, Singapore and Beijing Using Smart-Card Data

Chen Zhong, Michael Batty, Ed Manley, Jiaqiu Wang, Zijia Wang, Feng Chen, Gerhard Schmitt, Tobias Preis
2016 PLoS ONE  
We demonstrate this by comparing regularities in the urban mobility patterns in three world cities, namely London, Singapore and Beijing using one-week of smart-card data.  ...  framework for comparative studies using urban mobility data, and it provides key points for the management of variability by policy-makers intent on for making the travel experience more amenable.  ...  The authors thank Transport for London, the Singapore Land Transport Authority, and Beijing Transport Committee for supporting this research and providing the requisite data. Author Contributions  ... 
doi:10.1371/journal.pone.0149222 pmid:26872333 pmcid:PMC4752505 fatcat:cuow6wsilfa5vesf2uffhcqfoy

Trace analysis and mining for smart cities: issues, methods, and applications

Gang Pan, Guande Qi, Wangsheng Zhang, Shijian Li, Zhaohui Wu, Laurence Yang
2013 IEEE Communications Magazine  
Traces of moving objects in a city, which depict lots of semantics concerning human mobility and city dynamics, are becoming increasingly important.  ...  In this article, we first give a brief introduction to trace data; then we present six research issues in trace analysis and mining, and survey the state-of-the-art methods; finally, five promising application  ...  ACKNOWLEDGMENTS This work is partly supported by the National Key Basic Research Program of China (2013CB329504) and Qianjiang Talent Program of Zhejiang (2011R10078). Dr. Z.  ... 
doi:10.1109/mcom.2013.6525604 fatcat:57ge66oshbebdc5azxvbyu5hru

EXPLORING SIMILARITIES AND VARIATIONS OF HUMAN MOBILITY PATTERNS IN THE CITY OF LONDON

P. Sulis, E. Manley
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Using data sourced from the Oyster smart card and Twitter, we perform a time-series cluster analysis, exploring the similarity of temporal trends amongst places assigned to each cluster.  ...  In this work, we explore patterns of similarities and spatial differences in human mobility flows in London, analysing their temporal variations in relation to the liveliness measured in a number of places  ...  ACKNOWLEDGEMENTS The authors would like to thank Transport for London for providing the data set used in this work.  ... 
doi:10.5194/isprs-archives-xlii-4-w11-51-2018 fatcat:wq3456oxgbfqdn7dgdfahbjoui

Analyzing Large-Scale Smart Card Data to Investigate Public Transport Travel Behaviour Using Big Data Analytics

Jamal Maktoubian
2017 Journal of Information Technology & Software Engineering  
In urban public transport, Smart card data have been used more and more in order to collect fare automatically.  ...  Although Smart card major concentration is in revenue collection, they also generate massive amounts of passive data from the technological devices installed to control the operation of them.  ...  Since 1990s, with the advent of the Internet technology and rise of mobile communication technologies, the design and use of smart card has been revolutionized [2] .  ... 
doi:10.4172/2165-7866.1000211 fatcat:cy3vwghotjdpvcnbkd6spj56ia

Characterizing and modeling internet traffic dynamics of cellular devices

M. Zubair Shafiq, Lusheng Ji, Alex X. Liu, Jia Wang
2011 Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems - SIGMETRICS '11  
In this study, we measure and characterize the spatial and temporal dynamics of mobile Internet traffic.  ...  We distinguish our study from other related work by conducting the measurement at a larger scale and exploring mobile data traffic patterns along two new dimensions -device types and applications that  ...  Acknowledgements We would like to thank Alexandre Gerber and Jeffrey Erman for providing technical comments on the paper, and Jeffrey Pang for helping us in general understanding of the traffic logging  ... 
doi:10.1145/1993744.1993776 dblp:conf/sigmetrics/ShafiqJLW11 fatcat:jgkog6iudvdlxg4wzgpdwz2wjm

Characterizing and modeling internet traffic dynamics of cellular devices

M. Zubair Shafiq, Lusheng Ji, Alex X. Liu, Jia Wang
2011 Performance Evaluation Review  
In this study, we measure and characterize the spatial and temporal dynamics of mobile Internet traffic.  ...  We distinguish our study from other related work by conducting the measurement at a larger scale and exploring mobile data traffic patterns along two new dimensions -device types and applications that  ...  Acknowledgements We would like to thank Alexandre Gerber and Jeffrey Erman for providing technical comments on the paper, and Jeffrey Pang for helping us in general understanding of the traffic logging  ... 
doi:10.1145/2007116.2007148 fatcat:wbci5l7j4bhsbkd3mnhip3ngji

A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development

Anqi Wang, Anshu Zhang, Edwin H.W. Chan, Wenzhong Shi, Xiaolin Zhou, Zhewei Liu
2020 ISPRS International Journal of Geo-Information  
Literature regarding human mobility research using big data are reviewed.  ...  These studies contribute to (1) discovering the spatial-temporal phenomenon, (2) identifying the difference in human behaviour or spatial attributes, (3) explaining the dynamic of mobility, and (4) applying  ...  Acknowledgments: The authors appreciate the help of the interviewees in presenting their opinions on smart city development. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/ijgi10010013 fatcat:inl7acoekrgcdknlpds37jbzyy

Urban Analysis and Smart Communities: An Approach to the Use of Technology in Everyday Mobility
Análisis Urbano y Comunidades Inteligentes: Una Aproximación al Empleo de la Tecnología en la Movilidad Cotidiana

Zurisaddai de la Cruz Severiche Maury, Ana Fernández Vilas
2015 Inge-Cuc  
A descriptive analysis of automated methods for collecting and analyzing citizens' mobility patterns is performed; it is centered in smart card use, geolocation and geotagging.  ...  The creation of smart communities is shown as a sustainable solution since they deal with various key aspects, such as traffic management and mobility, through the use of information technologies (ITs)  ...  Measuring transit use variability with smart- card data TABLE II .  ... 
doi:10.17981/ingecuc.11.1.2015.01 fatcat:cb4lgfirmjcpdjswkmr6v72afu

Characterization of Public Transit Mobility Patterns of Different Economic Classes

Priscila Santin, Fernanda R. Gubert, Mauro Fonseca, Anelise Munaretto, Thiago Henrique Silva
2020 Sustainability  
This paper analyzes public transit mobility of different economic classes of Curitiba, Brazil, exploring an official smart card dataset provided by the city.  ...  We also show that our model captures fairly well realistic mobility patterns exploring a cheaper and larger-scale data source by comparing our results with a household travel survey from Curitiba.  ...  Studied Dataset For the analysis of urban transit mobility, we used URBS data regarding the use of transit using any of the identified bus smart cards.  ... 
doi:10.3390/su12229603 fatcat:s4mh6rquhncgtci45dxmqtefpu

Smart cities, big data and urban policy: Towards urban analytics for the long run

Jens Kandt, Michael Batty
2020 Cities  
Real-time data mining and pattern detection in high-frequency data can now be carried out at a large scale.  ...  Drawing on empirical studies using big urban data, we highlight epistemological and practical challenges that arise from the analysis of high-frequency data for strategic purposesand formulate propositions  ...  Acknowledgements Parts of this work for this article was funded by the ESRC funding scheme 'Big Data Phase 3: New and Emerging Forms of Data' (reference ES/P010741/1).  ... 
doi:10.1016/j.cities.2020.102992 fatcat:dmc5xg2fs5d4znusn3ycqed65e

Living with Internet of Things: The Emergence of Embedded Intelligence

Bin Guo, Daqing Zhang, Zhu Wang
2011 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing  
This paper introduces and prospects an emerging research area -Embedded Intelligence (EI), which aims at revealing the individual behaviors, spatial contexts, as well as social patterns and urban dynamics  ...  With the development of sensing, wireless communication, and Internet technologies, we are now living in a world that is filled with various smart thingsthe Internet of Things.  ...  In their paper, Liu et al. reported on the use of multiple real time data sources (GPS data from taxi and smart card data from bus and metro) to understand daily urban mobility patterns and explored the  ... 
doi:10.1109/ithings/cpscom.2011.11 dblp:conf/ithings/GuoZW11 fatcat:fdgg26mbenci7hls7awyprt5ba
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