Research on the Evaluation and Optimization of Street Quality in Cultural Attractions Based on Spatial Data

Historic and cultural scenic spots are concentrated spaces that hold historic and cultural value for a city, and their streets form the foundation of their scenery. Therefore, the street quality of historic and cultural scenic spots plays an important role in promoting the cultural and economic development of a city. We evaluate the development potential of road quality in historic and cultural scenic spots by using spatial data and the analytic hierarchy process (AHP) method. First, three-dimensional evaluation indices are constructed based on the functions of streets, including the perception of the natural environment, the perception of human emotions, and the accessibility of spatial facilities. Then, the weights of the indicators are calculated using the AHP method, and the evaluation scores of historical and cultural scenic spots are calculated based on spatial data. Finally, a ranking of historical and cultural scenic spots is obtained by combining the weights of the indicators and the performance of the scenic spots to determine the high-quality potential historical and cultural scenic spots of a road. The method proposed in this study is applied to Yanta District, Xi’an City, China, and high-potential scenic spots are analyzed in depth based on the ranking results to provide suggestions for the construction of historical and cultural scenic spots. By comprehensively applying spatial data and AHP methods, we can effectively identify cultural scenic spots with high street quality potential and provide targeted suggestions for the construction and development of cultural scenic spots.

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Publication Details

Journal
ISPRS International Journal of Geo-Information
Published
2025-03-19
DOI
https://doi.org/10.3390/ijgi14030130
Primary Topic
Urban Design and Spatial Analysis
Type
article
Field-Weighted Citation Impact
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article

Research on the Evaluation and Optimization of Street Quality in Cultural Attractions Based on Spatial Data

Chao Chen, Su‐Young Kim
ISPRS International Journal of Geo-Information
Urban Design and Spatial Analysis
article

Research on the Evaluation and Optimization of Street Quality in Cultural Attractions Based on Spatial Data

Chao Chen, Su‐Young Kim
article en

Abstract

Historic and cultural scenic spots are concentrated spaces that hold historic and cultural value for a city, and their streets form the foundation of their scenery. Therefore, the street quality of historic and cultural scenic spots plays an important role in promoting the cultural and economic development of a city. We evaluate the development potential of road quality in historic and cultural scenic spots by using spatial data and the analytic hierarchy process (AHP) method. First, three-dimensional evaluation indices are constructed based on the functions of streets, including the perception of the natural environment, the perception of human emotions, and the accessibility of spatial facilities. Then, the weights of the indicators are calculated using the AHP method, and the evaluation scores of historical and cultural scenic spots are calculated based on spatial data. Finally, a ranking of historical and cultural scenic spots is obtained by combining the weights of the indicators and the performance of the scenic spots to determine the high-quality potential historical and cultural scenic spots of a road. The method proposed in this study is applied to Yanta District, Xi’an City, China, and high-potential scenic spots are analyzed in depth based on the ranking results to provide suggestions for the construction of historical and cultural scenic spots. By comprehensively applying spatial data and AHP methods, we can effectively identify cultural scenic spots with high street quality potential and provide targeted suggestions for the construction and development of cultural scenic spots.

ISPRS International Journal of Geo-InformationVol. 14(3)
Chugye University for the Arts (KR), Tsinghua University (CN)
Openalex Percentile: Top 95%
Urban Design and Spatial Analysis
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