Discovering Regularity Patterns of Mobility Practices through Mobile Phone Data
نویسندگان
چکیده
منابع مشابه
Discovering Regularity Patterns of Mobility Practices through Mobile Phone Data
This article addresses the issue of analyzing and mapping mobility practices by using different kinds of mobile phone network data, which provide geo-located information on mobile phone activity at a high spatial and temporal resolution. It will present and discuss major findings and drawbacks, based on an application carried out on the Milan urban region (Lombardy, Northern Italy) and suggest ...
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The rapid development of information and communication technologies (ICTs) has provided rich resources for spatio-temporal data mining and knowledge discovery in modern societies. Previous research has focused on understanding aggregated urban mobility patterns based on mobile phone datasets, such as extracting activity hotspots and clusters. In this paper, we aim to go one step further from id...
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In the age of Big Data, the widespread use of location-awareness technologies has made it possible to collect spatio-temporal interaction data for analyzing flow patterns in both physical space and cyberspace. This research attempts to explore and interpret patterns embedded in the network of phone-call interaction and the network of phone-users’ movements, by considering the geographical conte...
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Massive and passive data such as cell phone traces provide samples of the whereabouts and movements of individuals. These are a potential source of information for models of daily activities in a city. The main challenge is that phone traces have low spatial precision and are sparsely sampled in time, which requires a precise set of techniques for mining hidden valuable information they contain...
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In this thesis, I present a cross-cultural study on human's trip length distribution and how it might be influenced by regional socio-economic factors, such as population density, income and unemployment rate. Mobile phone records contain very detailed calling information of the spatiotemporal localization of hundreds of thousands of users, which can be used as proxies for human trips. The trav...
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ژورنال
عنوان ژورنال: International Journal of Agricultural and Environmental Information Systems
سال: 2014
ISSN: 1947-3192,1947-3206
DOI: 10.4018/ijaeis.2014070103