Mining human mobility data and social media for smart services
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Understanding Temporal Human Mobility Patterns in a City by Mobile Cellular Data Mining, Case Study: Tehran City
Recent studies have shown that urban complex behaviors like human mobility should be examined by newer and smarter methods. The ubiquitous use of mobile phones and other smart communication devices helps us use a bigger amount of data that can be browsed by the hours of the day, the days of the week, geographic area, meteorological conditions, and so on. In this article, mobile cellular data mi...
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Social networks have been resorted to as effective platforms for social mobility in many parts of the world. This mobility occurs when social media users exploit their interpersonal relationships, especially their ‘weak ties’ (Granovetter, 1973). Social networks enable their users to be producers of information, rather than mere consumers, and to be socially and politically well-informed. They ...
متن کاملDeveloping a Smart Service System to Enrich Bike Riders' Experience
Social sensing via mobile apps complements physical sensing (e.g., IoT) by substantially extending the horizon we know about our daily life in real time. This paper discusses how we can integrate physical and social sensing to enable better and smarter services, focusing on enriching riders’ experience of using bike sharing services in New York City. We show how we real time collect, process, a...
متن کاملDetecting Origin-Destination Mobility Flows From Geotagged Tweets in Greater Los Angeles Area
Trajectory-based mobility research plays an increasing role in GIScience and related domains. Typically, the research results heavily depend on the quality and resolution of data that can be collected, e.g., via surveys. In travel behaviour and transportation studies, time and cost constrains are the limiting factors for the collection of large-scale individual travel behaviour data using tradi...
متن کاملMining Semantic Sequential Patterns from Geo-tagged Photos
Social media data associated with geographic location and time information reflect people footprint in real world. Abundance of geo-referenced content represents a massive opportunity to understanding of human geographic mobility behaviors. Most trajectory mining research from geo-enabled social media data focus on spatial geometric features. Integrating trajectory analysis with semantic inform...
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