Evaluate Human Perception of the Built Environment in the Metro Station Area
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/13/1/90 |
| _version_ | 1797343214430060544 |
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| author | Wei Gao Xiaoli Sun Mei Zhao Yong Gao Haoran Ding |
| author_facet | Wei Gao Xiaoli Sun Mei Zhao Yong Gao Haoran Ding |
| author_sort | Wei Gao |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T10:44:31Z |
| format | Article |
| id | doaj.art-95498924fedb475d881b036b4f548fb0 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-08T10:44:31Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-95498924fedb475d881b036b4f548fb02024-01-26T17:20:02ZengMDPI AGLand2073-445X2024-01-011319010.3390/land13010090Evaluate Human Perception of the Built Environment in the Metro Station AreaWei Gao0Xiaoli Sun1Mei Zhao2Yong Gao3Haoran Ding4School of Architecture and Design, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Architecture and Design, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Design and Art, Beijing Institute of Technology, Beijing 100081, ChinaInstitute of Remote Sensing and Geographic Information System, Peking University, Beijing 100084, ChinaChina Academy of Urban Planning and Design, Beijing 100044, ChinaTransit-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.https://www.mdpi.com/2073-445X/13/1/90built environmentmetro station areasocial media datasentiment perceptiontransit-oriented development |
| spellingShingle | Wei Gao Xiaoli Sun Mei Zhao Yong Gao Haoran Ding Evaluate Human Perception of the Built Environment in the Metro Station Area Land built environment metro station area social media data sentiment perception transit-oriented development |
| title | Evaluate Human Perception of the Built Environment in the Metro Station Area |
| title_full | Evaluate Human Perception of the Built Environment in the Metro Station Area |
| title_fullStr | Evaluate Human Perception of the Built Environment in the Metro Station Area |
| title_full_unstemmed | Evaluate Human Perception of the Built Environment in the Metro Station Area |
| title_short | Evaluate Human Perception of the Built Environment in the Metro Station Area |
| title_sort | evaluate human perception of the built environment in the metro station area |
| topic | built environment metro station area social media data sentiment perception transit-oriented development |
| url | https://www.mdpi.com/2073-445X/13/1/90 |
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