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Urban Mobility and Activity Space

Kathleen A. Cagney, Erin York Cornwell, Alyssa W. Goldman, Liang Cai
2020 Annual Review of Sociology  
domains—spatial inequality and segregation, social connectedness and engagement, crime and offending patterns, and health and health-related behavior.  ...  Recent theoretical and methodological advances in urban sociology, including spatially located data, provide new opportunities to consider the joint influence of mobility and place in urban social life  ...  ACKNOWLEDGMENTS We are grateful to our collaborators on the Chicago Health and Activity Space in Real Time (CHART) study, Kevin Brown, Christopher Browning, Ned English, Louise Hawkley, Kelly Pudelek,  ... 
doi:10.1146/annurev-soc-121919-054848 fatcat:njetp7tx7nb5tgixa7ng7ywx6u

Mobile Participation: Exploring Mobile Tools in E-Participation [chapter]

Maria A. Wimmer, Rüdiger Grimm, Nico Jahn, J. Felix Hampe
2013 Lecture Notes in Computer Science  
In this contribution, we investigate the use of mobile technology in eparticipation contexts and we define grounds for mobile participation.  ...  In this paper, we examine different projects exploiting mobile technology for citizen participation -with a focus on e-participation -and we describe mPart applications and related tools that are developed  ...  In a study the authors performed 2007 on nineteen EC funded research projects of the field seven projects using mobile technologies have been identified [23] .  ... 
doi:10.1007/978-3-642-40346-0_1 fatcat:wlkgopxqcjez3n27wbxezs44bm

Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda

Yan Sun, Chengxi Liu, Chen Zhang, Cristina Cristina Manresa-Yee
2021 Mobile Information Systems  
Despite a growing application spectrum of smartphone uses and interests in mobility inference, little effort has been put into discussing theories, models, and research topics based on a systematic study  ...  A literature analysis, following PRISMA guidelines, aims to identify the successful development and implementation of the mobile technology that can be employed for behavior studies in transport.  ...  Acknowledgments is work was supported by the KTH-CSC funding (grant no. 201600160048) and the Shandong Provincial Natural Science Foundation of China (grant no. ZR2019BG006).  ... 
doi:10.1155/2021/9309904 fatcat:sl4f5frihne7niizsv7krgimei

Anticipatory Mobile Computing

Veljko Pejovic, Mirco Musolesi
2015 ACM Computing Surveys  
We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions.  ...  Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more.  ...  Acknowledgements The authors thank Mihai Nadin from UT Dallas for a thoughtful discussion about anticipatory computing.  ... 
doi:10.1145/2693843 fatcat:lc5i5634jzcy3obk6lcx46jg3q

Human mobility models for opportunistic networks

Dmytro Karamshuk, Chiara Boldrini, Marco Conti, Andrea Passarella
2011 IEEE Communications Magazine  
Mobile ad hoc networks (MANETs) enable communications between clouds of mobile devices without the need for a pre-existing infrastructure.  ...  We start from reviewing the most considerable findings regarding the nature of human movements, which we classify along the spatial, temporal, and social dimensions of mobility.  ...  As a preliminary to this, the relation between movements and user sociality should be better investigated using traces of real human mobility.  ... 
doi:10.1109/mcom.2011.6094021 fatcat:4vhwviz4pja6vjeqfntpye3z5a

Future Mobility Survey

Caitlin D. Cottrill, Francisco Câmara Pereira, Fang Zhao, Inês Ferreira Dias, Hock Beng Lim, Moshe E. Ben-Akiva, P. Christopher Zegras
2013 Transportation Research Record  
The Future Mobility Survey (FMS) is a smartphone-based prompted-recall travel survey that aims to support data collection initiatives for transport modelling purposes.  ...  We discuss the various trade-offs regarding user comprehension, resource use, and participant burden, including findings from usability tests and a pilot study.  ...  of the survey and collected data. 275Recruitment took place via social networking sites (such as Facebook and Twitter), networks within both 276 the National University of Singapore (NUS) and Nanyang  ... 
doi:10.3141/2354-07 fatcat:5ahvimrc4vf5jiw3ivl6bp6mia

How Mobility and Sociality Reshape the Context: A Decade of Experience in Mobile CrowdSensing

Michele Girolami, Dimitri Belli, Stefano Chessa, Luca Foschini
2021 Sensors  
We present two methodologies to identify communities: spatial and co-location-based.  ...  We survey the last decade of experimentation and research in the field of mobile CrowdSensing, a paradigm centred on users' devices as the primary source for collecting data from urban areas.  ...  Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. Conflicts of Interest: The authors declare no conflict of interest. Sensors 2021, 21, 6397  ... 
doi:10.3390/s21196397 pmid:34640717 fatcat:gbhln4wlxzennpreqc5tshvvj4

Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine

2019 Journal of Travel Medicine  
However, the ability to measure and monitor human mobility, health risk and their changing patterns across spatial and temporal scales using traditional data sources has been limited.  ...  To facilitate a better understanding of the use of emerging mobile phone technology and data in travel medicine, we reviewed relevant work aiming at measuring human mobility, disease connectivity and health  ...  to capture rich features of mobility movements within and between cities and even between countries. 35, 59 Further, based on CDRs and social media location history data from different nations, a variety  ... 
doi:10.1093/jtm/taz019 pmid:30869148 pmcid:PMC6904325 fatcat:7gikxz7b4fhuxeug5j7ekpcjia

Analyzing Mobility-Traffic Correlations in Large WLAN Traces: Flutes vs. Cellos [article]

Babak Alipour, Leonardo Tonetto, Aaron Ding, Roozbeh Ketabi, Jörg Ott, Ahmed Helmy
2020 arXiv   pre-print
Many trace-based mobility models have largely used pre-smartphone datasets (e.g., AP-logs), or much coarser granularity (e.g., cell-towers) traces.  ...  In this study, we conduct a multidimensional analysis, to quantitatively characterize mobility and traffic spatio-temporal patterns, for laptops and smartphones, leading to a detailed integrated mobility-traffic  ...  Acknowledgments: We thank Alin Dobra for help in the computing cluster, and the anonymous reviewers for useful feedback. Mostafa Ammar suggested the term 'cello mobility'.  ... 
arXiv:1801.02705v3 fatcat:mjvxdkt7jjgzldhfdyqe3i6ccy

Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Luís Rosa, Fábio Silva, Cesar Analide
2021 Smart Cities  
The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges  ...  Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence.  ...  Informed Consent Statement: Informed consent was obtained from all subjects involved in the study. Data Availability Statement: No new data were created or analyzed in this study.  ... 
doi:10.3390/smartcities4020046 fatcat:lndroanudzbe7hfm53mzy2jph4

Perceived Ubiquity in Mobile Services

Shintaro Okazaki, Felipe Mendez
2013 Journal of Interactive Marketing  
In this study, an instrument for the measurement of perceived ubiquity reflecting the benefits derived from continuity, immediacy, portability, and searchability is developed using a multiple stage approach  ...  The thorough validation results demonstrate the value of our instrument as a measurement tool of perceived ubiquity that is useful in describing the unique nature of mobile devices and predicting differences  ...  This research was funded by a grant from the Spanish Ministry of Science and Innovation (National Plan for Research, Development and Innovation ECO2011-30105).  ... 
doi:10.1016/j.intmar.2012.10.001 fatcat:fnuqg5s43zddratfdrbsipfpwm

Human mobility in opportunistic networks: Characteristics, models and prediction methods

Poria Pirozmand, Guowei Wu, Behrouz Jedari, Feng Xia
2014 Journal of Network and Computer Applications  
Secondly, real mobility traces which have been captured using Bluetooth/Wi-Fi technologies or location-based social networks are summarized.  ...  In this paper, we present a thorough survey of human mobility issues in three main groups (1) mobility characteristics, (2) mobility models and traces, and (3) mobility prediction techniques.  ...  Acknowledgments This research is sponsored in part by the National Natural Science Foundation of China (Contract/Grant Nos. 61173179 and 61202441).  ... 
doi:10.1016/j.jnca.2014.03.007 fatcat:uoq7l77p6vfl3oq2o45t5hwjmq

Mobile social networking middleware: A survey

Paolo Bellavista, Rebecca Montanari, Sajal K. Das
2013 Pervasive and Mobile Computing  
The convergence of social networking and mobile computing is expected to generate a new class of applications, called Mobile Social Networking (MSN) applications, that will be of significant importance  ...  Indeed, MSN enhances the capabilities of more traditional Online Social Networking (OSN) to a great extent by enabling mobile users to benefit from opportunistically created social communities; these communities  ...  MobiClique associates each mobile device with a social profile consisting of a unique identifier, some personal information, a list of friends, and social groups of interest.  ... 
doi:10.1016/j.pmcj.2013.03.001 fatcat:pvtkbe5unvgjrcupo6inxq4qqe

Sensing and Modeling Human Behavior Using Social Media and Mobile Data [article]

Abhinav Mehrotra, Mirco Musolesi
2017 arXiv   pre-print
In this article we discuss how the availability of new technologies such as online social media and mobile smartphones has allowed researchers to passively collect human behavioral data at a scale and  ...  We also discuss how these digital traces can then be used to prove (or disprove) existing theories and develop new models of human behavior.  ...  between network nodes.  ... 
arXiv:1702.01181v2 fatcat:pxgjufslorgttbvvj6lpdjgc5a

Mobile Phone Metadata for Development [article]

Damien C. Jacques
2018 arXiv   pre-print
Finally, a trade-off exists between privacy and utility when using sensitive data like CDRs.  ...  These metadata provide information on when, how, from where and with whom we communicate. Conceptually, they can be described as a geospatial, dynamic, weighted and directed network.  ...  The applications are tremendous, particularly for studies related to mobility, social network and socio-demographics of people [9, 14, 15] .  ... 
arXiv:1806.03086v1 fatcat:3jh3bjpo5zf4fp26ccxoevp6ly
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