4.6 Article

Evaluation Method of Composite Development Bus Terminal Using Multi-Source Data Processing

Journal

LAND
Volume 11, Issue 10, Pages -

Publisher

MDPI
DOI: 10.3390/land11101757

Keywords

bus terminal; composite development; built environment; spatial relationship; machine learning; semantic segmentation

Funding

  1. National Natural Science Foundation of China [51808010]

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Given the accelerating speed and scale of urbanization in China, this study proposes a method for evaluating the spatial relationship among facilities around bus terminals. The validity and applicability of the methods are verified using samples, and strategic suggestions are offered for the composite development of bus terminals in Zhengzhou.
Given the accelerating speed and scale of urbanization in China, a rational formulation of a composite development plan to increase the vitality and value of various areas is required. Thus, this study proposes a method for evaluating the spatial relationship among facilities around bus terminals by combining urban points-of-interest data and street view image data from two perspectives: the current level of development and potential of the terminals, and an evaluation of the surrounding pedestrian environment. This is in response to the lack of quantitative descriptions of the composite development of existing bus terminals. The validity and applicability of the methods are verified using the samples of five planned composite development bus terminals in the city of Zhengzhou. These results offer strategic suggestions for the composite development of the Zhengzhou bus terminals. This study demonstrates innovation in integrating geographic information data and street view image data. It reflects the spatial characteristics of the built environment using geographic information data and the visual characteristics of the built environment using street view images.

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