Abstract
Urban structure is of vital importance to urban planning, transportation, economics and other applications. Since detecting and analyzing urban centers is crucial for understanding urban structure, a large number of studies on urban center extraction have been performed. In this paper, we propose an analysis framework to identify urban centers by using taxi trajectory data. The proposed approach differs from previous methods by employing a novel way to simulate taxi trajectory data with the topographic surface. We extracted pick-up and drop-off spots from taxi trajectory data and employed the localized contour tree method to delineate the boundaries and hierarchies of urban centers. The experiments show that the proposed method can successfully detect urban centers and analyze their temporal patterns in different periods in Shanghai, China.
Highlights
Urban structure is defined as the spatial arrangement of different land uses in urban areas [1]
We first introduce our study area and data, and we present the results of the localized contour tree and urban center detection
We integrated a remote sensing method and taxi trajectory data to provide a new perspective for analyzing urban centers
Summary
Urban structure is defined as the spatial arrangement of different land uses in urban areas [1]. It is an important part of urban geography and has major effects on urban planning, economics, transportation and many other aspects of cities. Many researchers have focused on studying urban structure, and most of them have concentrated on structure models, urban centers, land use, functional areas, urban density, etc. The preset shape of the census tract may prevent the identification of a center. The analysis results may be affected by the modifiable areal unit problem [18]
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