Analyzing POI’s Attractiveness Variation Based on Taxis’ Trajectories

Abstract:

Analyzing the attractiveness of point-of-interests (POIs) in a city is very important to business location selection, market analysis, traffic management, and urban planning. Recently Analyzing the attractiveness of POIs based on GPS data calls scholars’ attention. However, the existing methods ignore the variation of POI’s attractiveness owing to its categories and the time-slots. Therefore, we propose a novel approach of analyzing POIs’ attractiveness variation based on taxis’ trajectories. According to the situation of taxis’ stopping nearby the POIs which belongs to certain categories in different time-slots, we can compute the POIs’ attractiveness. Furthermore, the law of citizens activity can be analyzed and provide reference to urban planning.

• Periodical: Applied Mechanics and Materials (Volume 610)
• Pages: 482-486
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.610.482
• Online since: August 2014
• Authors: Yi Zhi Liu*, Long Sen Li, Zhu Hua Liao, Jian Xun Liu, Ming Dong Tang
• Keywords: Attractiveness Analyzing, Clustering Algorithm, Human Activity Rule Discovery, Point-Of-Interests (POIs), Trajectories Mining

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