How Streets Adapt to New Generation Transportation: Analysis of Ridesourcing Pick-up and Drop-off Hot-spots and Street Improvement Design based on Trajectory Data

Urban mobility is rapidly evolving in recent years with the flourish of ridesourcing. This new generation transportation offers more convenient options for point to point trips but at the same time generates more conflicts between pedestrians, cyclists, transit and other vehicles. This study discussed how streets adapt to new generation transportation based on 3,128,027 ridesourcing trips in Xi’an, China. I first identified ridesourcing’s pick-up and drop-off hot-spots in Xi’an using DBSCAN and Getis-Ord Gi statistics, and then analyzed hot-spot locations from the street scale. I found hot-spots in Xi’an mainly located on the city’s main axis and Ring Roads surrounding by five different land use types. Finally, a ridesourcing pick-up and drop-off design in highly mixed land use area was showcased.Master of City and Regional Plannin

Measuring the Distance of Moving Objects from Big Trajectory Data

Location-based services have become important in social networking, mobile applications, advertising, traffic monitoring, and many other domains. The growth of location sensing devices has led to the vast generation of dynamic spatial-temporal data in the form of moving object trajectories which can be characterized as big trajectory data. Big trajectory data enables the opportunities such as analyzing the groups of moving objects. To obtain such facilities, the issue of this work is to find a distance measurement method that respects the geographic distance and the semantic similarity for each trajectory. Measurement of similarity between moving objects is a difficult task because not only their position changes but also their semantic features vary. In this research, a method to measure trajectory similarity based on both geographical features and semantic features of motion is proposed. Finally, the proposed methods are practically evaluated by using real trajectory dataset