Hindawi Journal of Advanced Transportation Volume 2020, Article ID 7621576, 20 pages https://doi.org/10.1155/2020/7621576 Research Article Spatial Variation of Taxi Demand Using GPS Trajectories and POI Data Xinmin Liu,1,2 Lu Sun ,1 Qiuxia Sun ,3 and Ge Gao 1,4 1College of Economics and Management, Shandong University of Science and Technology, Qingdao, China 2Qingdao Agricultural University, Qingdao, China 3College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China 4College of Transportation, Shandong University of Science and Technology, Qingdao, China Correspondence should be addressed to Lu Sun;
[email protected] Received 3 June 2019; Revised 21 August 2019; Accepted 3 September 2019; Published 13 January 2020 Academic Editor: Gonçalo Homem de Almeida Correia Copyright © 2020 Xinmin Liu et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Taxi as a door-to-door, all-weather way of travel is an important part of the urban transportation system. A fundamental understanding of temporal-spatial variation and its related inuential factors are essential for taxi regulation and urban planning. In this paper, we explore the correlation between taxi demand and socio-economic, transport system and land use patterns based on taxi GPS trajectory and POI (point of interest) data of Qingdao City. e geographically weighted regression (GWR) model is used to describe the inuence factors of spatial heterogeneity of the taxi demand and visualize the spatial distributions of parameter estimations.