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Full-Text Articles in Social and Behavioral Sciences
Quantifying Human Mobility Patterns During Disruptive Events With Geospatial Big Data, Yuqin Jiang
Quantifying Human Mobility Patterns During Disruptive Events With Geospatial Big Data, Yuqin Jiang
Theses and Dissertations
Understanding human mobility patterns is an essence for geography and geographical information science. Although existing studies have found that human mobility patterns are highly predictable, such patterns can be disrupted by events, ranging from sports games to natural hazard caused evacuations. However, traditional data collection methods that heavily rely on self-reported travel behaviors are often delayed and at a small scale, and thus are often not sufficient to reveal the disrupted human mobility patterns. Fortunately, with the development of geolocating-related technologies, multiple platforms are able to capture human mobility data in unprecedented spatiotemporal scales and granularities. These data, such as …
Remote Sensing And Social Sensing For Improved Flood Awareness And Exposure Analysis In The Big Data Era, Xiao Huang
Remote Sensing And Social Sensing For Improved Flood Awareness And Exposure Analysis In The Big Data Era, Xiao Huang
Theses and Dissertations
Floods are among the most devastating hazards on Earth, posing great threats to a large amount of population in the world. As the severity and frequency of flood events have noticeably increased, there is a growing need to improve the flood awareness and exposure analysis to assist flood mitigation. Fortunately, the Era of Big Data has fostered many innovative spatial data sources as well as spatial data analytics. This dissertation advances the existing flood monitoring studies by obtaining enhanced flood awareness via the development of a data fusion enable and deep learning supported flood monitoring framework that systematically integrates remotely …
Urban Accessibility Measurement And Visualization — A Big Data Approach, Yuqin Jiang
Urban Accessibility Measurement And Visualization — A Big Data Approach, Yuqin Jiang
Theses and Dissertations
Accessibility measurement has always been an important question in different areas including transportation, urban planning, politics, and sociology. However, how to measure transportation accessibility in different areas have been limited to data availability and technology. Recently, with increasing availability in public transportation data, we found a gap between current methods and large volume of data now available. This thesis developed a new method to measure multi-mode transportation data, including taxi, bus, and subway. Based on this measurement, we can visualize and understand the spatiotemporal patterns of accessibility in New York City (NYC). With historical travel records and public transit schedule, …