A New Urban Space Analysis Method Based on Space Syntax and Geographic Information System Using Multisource Data
With large-scale urban demolition, the spatial pattern of the urban area in many cities has been destroyed, leading to the loss of urban regional identity; therefore, these urban spaces need to be urgently studied and protected. Previous studies on the spatial pattern of urban areas focused on spati...
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MDPI AG
2022-05-01
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Series: | ISPRS International Journal of Geo-Information |
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Online Access: | https://www.mdpi.com/2220-9964/11/5/297 |
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author | Zhaolian Xing Weimin Guo |
author_facet | Zhaolian Xing Weimin Guo |
author_sort | Zhaolian Xing |
collection | DOAJ |
description | With large-scale urban demolition, the spatial pattern of the urban area in many cities has been destroyed, leading to the loss of urban regional identity; therefore, these urban spaces need to be urgently studied and protected. Previous studies on the spatial pattern of urban areas focused on spatial morphology or urban texture. However, due to difficulties in obtaining field survey data, such studies cannot comprehensively analyze the space; thus, the proposed conservation strategies are also more one-sided. In order to study the urban space more scientifically and systematically, and to propose a more operable spatial conservation strategy, this paper conducts a new urban space analysis method based on space syntax and the geographic information system using multisource data. With the help of software such as Depthmap and ArcGIS, as well as theories and methods such as space syntax and regression analysis, this article conducted a visual and quantitative analysis of the spatial information data such as integration of urban road networks, building height, architectural style, points of interest, number of lanes, and maximum road speed. Taking the old city of Wuxi as an example, the method’s feasibility was verified. The regression model analysis revealed that, when the integration of the area was higher, the buildings distributed around were multilane, fast lane, modern buildings, taller buildings, commercial buildings, and vice versa, which gives a scientific basis for the proposed strategy of creating regional characteristics of urban space. This new analysis method of urban space is of great significance for the study of urban problems, the exploration of urban characteristics, and the proposal of urban strategies. |
first_indexed | 2024-03-10T03:46:23Z |
format | Article |
id | doaj.art-6afdc0d0f66a4e069e603e5d3226a484 |
institution | Directory Open Access Journal |
issn | 2220-9964 |
language | English |
last_indexed | 2024-03-10T03:46:23Z |
publishDate | 2022-05-01 |
publisher | MDPI AG |
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series | ISPRS International Journal of Geo-Information |
spelling | doaj.art-6afdc0d0f66a4e069e603e5d3226a4842023-11-23T11:19:50ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-05-0111529710.3390/ijgi11050297A New Urban Space Analysis Method Based on Space Syntax and Geographic Information System Using Multisource DataZhaolian Xing0Weimin Guo1School of Design, Jiangnan University, Wuxi 214122, ChinaSchool of Design, Jiangnan University, Wuxi 214122, ChinaWith large-scale urban demolition, the spatial pattern of the urban area in many cities has been destroyed, leading to the loss of urban regional identity; therefore, these urban spaces need to be urgently studied and protected. Previous studies on the spatial pattern of urban areas focused on spatial morphology or urban texture. However, due to difficulties in obtaining field survey data, such studies cannot comprehensively analyze the space; thus, the proposed conservation strategies are also more one-sided. In order to study the urban space more scientifically and systematically, and to propose a more operable spatial conservation strategy, this paper conducts a new urban space analysis method based on space syntax and the geographic information system using multisource data. With the help of software such as Depthmap and ArcGIS, as well as theories and methods such as space syntax and regression analysis, this article conducted a visual and quantitative analysis of the spatial information data such as integration of urban road networks, building height, architectural style, points of interest, number of lanes, and maximum road speed. Taking the old city of Wuxi as an example, the method’s feasibility was verified. The regression model analysis revealed that, when the integration of the area was higher, the buildings distributed around were multilane, fast lane, modern buildings, taller buildings, commercial buildings, and vice versa, which gives a scientific basis for the proposed strategy of creating regional characteristics of urban space. This new analysis method of urban space is of great significance for the study of urban problems, the exploration of urban characteristics, and the proposal of urban strategies.https://www.mdpi.com/2220-9964/11/5/297geographic information systemspace syntaxmultisource datapoint-of-interest dataurban spacespatial pattern |
spellingShingle | Zhaolian Xing Weimin Guo A New Urban Space Analysis Method Based on Space Syntax and Geographic Information System Using Multisource Data ISPRS International Journal of Geo-Information geographic information system space syntax multisource data point-of-interest data urban space spatial pattern |
title | A New Urban Space Analysis Method Based on Space Syntax and Geographic Information System Using Multisource Data |
title_full | A New Urban Space Analysis Method Based on Space Syntax and Geographic Information System Using Multisource Data |
title_fullStr | A New Urban Space Analysis Method Based on Space Syntax and Geographic Information System Using Multisource Data |
title_full_unstemmed | A New Urban Space Analysis Method Based on Space Syntax and Geographic Information System Using Multisource Data |
title_short | A New Urban Space Analysis Method Based on Space Syntax and Geographic Information System Using Multisource Data |
title_sort | new urban space analysis method based on space syntax and geographic information system using multisource data |
topic | geographic information system space syntax multisource data point-of-interest data urban space spatial pattern |
url | https://www.mdpi.com/2220-9964/11/5/297 |
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