NDLI: Exploring the Impact of Built Environment Attributes on Social Followings Using Social Media Data and Deep Learning

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Exploring the Impact of Built Environment Attributes on Social Followings Using Social Media Data and Deep Learning

Content Provider	MDPI
Author	Tang, Yiwen Zhang, Jiaxin Liu, Runjiao Li, Yunqin
Copyright Year	2022
Description	Streets are an important component of urban landscapes and reflect the image, quality of life, and vitality of public spaces. With the help of the Google Cityscapes urban dataset and the DeepLab-v3 deep learning model, we segmented panoramic images to obtain visual statistics, and analyzed the impact of built environment attributes on a restaurant’s popularity. The results show that restaurant reviews are affected by the density of traffic signs, flow of pedestrians, the bicycle slow-moving index, and variations in the terrain, among which the density of traffic signs has a significant negative correlation with the number of reviews. The most critical factor that affects ratings on restaurants’ food, indoor environment and service is pedestrian flow, followed by road walkability and bicycle slow-moving index, and then natural elements (sky openness, greening rate, and terrain), traffic-related factors (road network density and motor vehicle interference index), and artificial environment (such as the building rate), while people’s willingness to stay has a significant negative effect on ratings. The qualities of the built environment that affect per capita consumption include density of traffic signs, pedestrian flow, and degree of non-motorized design, where the density of traffic signs has the most significant effect.
Starting Page	325
e-ISSN	22209964
DOI	10.3390/ijgi11060325
Journal	ISPRS International Journal of Geo-Information
Issue Number	6
Volume Number	11
Language	English
Publisher	MDPI
Publisher Date	2022-05-27
Access Restriction	Open
Subject Keyword	ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Information and Library Science Street View Imagery Social Media Data Built Environment Attributes Machine Learning
Content Type	Text
Resource Type	Article

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