Evaluation Method of Composite Development Bus Terminal Using Multi-Source Data Processing
Tao Zhang,
Yibo Yan,
Qi Chen and
Ze Liu ()
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Tao Zhang: Enrollment and Employment Division, Henan College of Transportation, Zhengzhou 450001, China
Yibo Yan: College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China
Qi Chen: College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China
Ze Liu: Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
Land, 2022, vol. 11, issue 10, 1-14
Abstract:
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.
Keywords: bus terminal; composite development; built environment; spatial relationship; machine learning; semantic segmentation (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:10:p:1757-:d:937503
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