Evaluate Human Perception of the Built Environment in the Metro Station Area

Wei Gao, Xiaoli Sun, Mei Zhao, Yong Gao () and Haoran Ding
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Wei Gao: School of Architecture and Design, Beijing Jiaotong University, Beijing 100044, China
Xiaoli Sun: School of Architecture and Design, Beijing Jiaotong University, Beijing 100044, China
Mei Zhao: School of Design and Art, Beijing Institute of Technology, Beijing 100081, China
Yong Gao: Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100084, China
Haoran Ding: China Academy of Urban Planning and Design, Beijing 100044, China

Land, 2024, vol. 13, issue 1, 1-25

Abstract: Transit-oriented development (TOD) has become a dominant form of spatial planning and land use in large cities internationally. As the intersections of urban space and rail transportation, metro station areas play a key public service function in the lives of city residents. Based on the “5D” index and Node-Place theory in the metro station area, current research on the built environment in metro station areas focuses on improving the economic and transportation efficiency while neglecting public perception of the construction of station space. Sentiments, as an important part of the individual’s perception, are closely related to the built environment. Therefore, this study takes 187 metro stations within the fifth ring road of Beijing, China, as an example and extracts public sentiment information from social media data using a wide range of natural language processing techniques to quantitatively analyze the distribution of the public’s sentiment characteristics (including intensity, polarity, and category) in the metro station area and deeply explores the spatial correlation with the distribution of the objective built environment elements. The study shows that influenced by the spatial design of the metro station, density, land use functions, etc., the sentiment intensity of the station area within the Fifth Ring Road of Beijing is “strong in the east and weak in the west, strong in the north and weak in the south”, and the sentiment polarity has the characteristic of gradually negative from inside to outside in a circular pattern. Synthesizing the sentiment perception in the metro station area, our study further divided the Beijing metro station area into four major categories and eight specific subtypes.

Keywords: built environment; metro station area; social media data; sentiment perception; transit-oriented development (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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