Research Article
The Building Color Quality Evaluation of Urban Commercial Street Based on Python Grabbing Street View Image: Taking Shenyang Xita Street as an Example
@INPROCEEDINGS{10.4108/eai.2-12-2022.2327942, author={Mei Lyu and Meiqi Yang and Xiangquan Wang and Junjie Lin}, title={The Building Color Quality Evaluation of Urban Commercial Street Based on Python Grabbing Street View Image: Taking Shenyang Xita Street as an Example}, proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={ICICA}, year={2023}, month={3}, keywords={commercial street; building color quality; urban renewal; python}, doi={10.4108/eai.2-12-2022.2327942} }- Mei Lyu
Meiqi Yang
Xiangquan Wang
Junjie Lin
Year: 2023
The Building Color Quality Evaluation of Urban Commercial Street Based on Python Grabbing Street View Image: Taking Shenyang Xita Street as an Example
ICICA
EAI
DOI: 10.4108/eai.2-12-2022.2327942
Abstract
As an open space in the city, the commercial street can reflect the urban vitality and is the main place to increase the economic benefits of the urban area. At the same time, building color has a huge impact on the visual quality of the urban environment, it is an important part of the urban landscape. The study used Python in Baidu Street View (BSV) panorama to grab the images of the buildings on both sides of Shenyang Xita Street within a length of 1.2 kilometers, and used physical psychology method to evaluate and analyze the current situation of the building color quality (BCQ) on Xita Street. This study contributes to promote the color planning or management of urban, build a harmonious ecological urban area and provide suggestions for urban renewal.
