Discovering the homogeneous geographic domain of human perceptions from street view images
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Date
2021-08
Publication Type
Journal Article
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yes
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Abstract
Human perception of place refers to residents' psychological feelings about urban areas. Many studies of human perceptions have focused on a specific geographic location. Whether the distribution of human perceptions in continuous city space shows specific characteristics and how to disclose these phenomena remains a direction worth exploring. Due to cities' heterogeneity, quantitatively identifying the homogeneous perception regions at a fine scale within large urban regions is challenging. This study proposed a novel method to discover the homogeneous geographic domain of human perception using massive street view images. First, human perceptions of the urban visual environment were evaluated using street view images. Next, perception network models were constructed based on the road network and perception assessment results. Then, the Infomap community detection algorithm was used to identify homogeneous human perception communities. The qualitative and quantitative results verified our approach's effectiveness for capturing human perceptions' homogeneous geographic domain. Moreover, driving factor analysis was conducted to determine the urban function that may cause a community to be perceived differently based on point-of-interest (POI) data. In general, our method for combining human perceptions and the topology of urban roads could identify the homogeneous perception domain, which is valuable for urban structure studies and human perception assessment. © 2021 Elsevier B.V.
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Publication status
published
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Book title
Journal / series
Volume
212
Pages / Article No.
104125
Publisher
Elsevier
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Edition / version
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Date collected
Date created
Subject
Street view; Human perception; Urban function; Geographic domain; Infomap
Organisational unit
03901 - Raubal, Martin / Raubal, Martin