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Volume 11
Issue 3
10.3390/land11030400
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Article

Measuring the Correlation between Human Activity Density and Streetscape Perceptions: An Analysis Based on Baidu Street View Images in Zhengzhou, China

by
Yilei Tao
1,
Ying Wang
2,
Xinyu Wang
3,
Guohang Tian
1,4 and
Shumei Zhang
1,4,*
1
College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou 450002, China
2
College of Architecture and Engineering, Zhengzhou University of Industrial Technology, Zhengzhou 450002, China
3
Doctoral School of Landscape Architecture and Landscape Ecology, Technology, Hungarian University of Agriculture and Life Sciences, 1114 Budapest, Hungary
4
Henan Provincial Joint International Research Laboratory of Landscape Architecture, Henan Provincial Department of Science and Technology, Zhengzhou 450002, China
*
Author to whom correspondence should be addressed.
Land 2022, 11(3), 400; https://doi.org/10.3390/land11030400
Submission received: 9 February 2022 / Revised: 3 March 2022 / Accepted: 7 March 2022 / Published: 9 March 2022
(This article belongs to the Special Issue Sustainable Urbanism in the Era of Big Data: A Data-Driven Approach to Strategic Planning)
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Abstract

Although investigators are using data sources to describe the visual characteristics of streets, few researchers have linked human perceptions of the street environment with human activity density. This study proposes a conceptualized analytical framework that explains the relationship between human activity density and the visual characteristics of the streetscape. The image-segmentation model DeepLabv3+ automatically extracts each pixel’s semantic information and classifies visual elements from 120,012 collected panoramic street view images of Zhengzhou, China, using the entropy weighting method and weighted superposition to calculate the street perception summary score. This deep learning approach can successfully describe the semantics of streets and the connection between population density and street perception. The study provides a new quantitative method for urban planning and the development of high-density cities.
Keywords: human perception; human activity density; visual characteristics; urban planning; streetscape human perception; human activity density; visual characteristics; urban planning; streetscape

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MDPI and ACS Style

Tao, Y.; Wang, Y.; Wang, X.; Tian, G.; Zhang, S. Measuring the Correlation between Human Activity Density and Streetscape Perceptions: An Analysis Based on Baidu Street View Images in Zhengzhou, China. Land 2022, 11, 400. https://doi.org/10.3390/land11030400

AMA Style

Tao Y, Wang Y, Wang X, Tian G, Zhang S. Measuring the Correlation between Human Activity Density and Streetscape Perceptions: An Analysis Based on Baidu Street View Images in Zhengzhou, China. Land. 2022; 11(3):400. https://doi.org/10.3390/land11030400

Chicago/Turabian Style

Tao, Yilei, Ying Wang, Xinyu Wang, Guohang Tian, and Shumei Zhang. 2022. "Measuring the Correlation between Human Activity Density and Streetscape Perceptions: An Analysis Based on Baidu Street View Images in Zhengzhou, China" Land 11, no. 3: 400. https://doi.org/10.3390/land11030400

APA Style

Tao, Y., Wang, Y., Wang, X., Tian, G., & Zhang, S. (2022). Measuring the Correlation between Human Activity Density and Streetscape Perceptions: An Analysis Based on Baidu Street View Images in Zhengzhou, China. Land, 11(3), 400. https://doi.org/10.3390/land11030400

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