Applied Geography, Год журнала: 2024, Номер 175, С. 103503 - 103503
Опубликована: Дек. 27, 2024
Язык: Английский
Applied Geography, Год журнала: 2024, Номер 175, С. 103503 - 103503
Опубликована: Дек. 27, 2024
Язык: Английский
Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)
Опубликована: Фев. 9, 2025
Язык: Английский
Процитировано
0Landscape and Urban Planning, Год журнала: 2025, Номер 259, С. 105359 - 105359
Опубликована: Апрель 9, 2025
Язык: Английский
Процитировано
0Buildings, Год журнала: 2025, Номер 15(9), С. 1522 - 1522
Опубликована: Май 1, 2025
Streetscapes in old urban areas are not only an important carrier to show regional economies and city style, but also closely correlate residents’ everyday life the hustle bustle which they live. Nevertheless, previous studies have either focused on a few examples with low-throughput surveys or lacked specific consideration of spontaneous features data-driven explorations. Furthermore, impact streetscape diversified social sensing has rarely been examined. This paper combined mobile collection street view images (SVIs) machine learning algorithm calculate eight types elements integrated two online platforms (Dianping Sina Weibo) map distribution economic vitality media perception, respectively. Then, through comparing multiple regression models, impacts characteristics were revealed. The results include following aspects: (1) overall, certain similarity both dimensions Quanzhou, significant clustering transitional trends strong spatial heterogeneity; (2) specifically, can be divided into three categories, given differentiated roles significantly positive, negative, polarizing results. For example, proper use open-interface storefronts, ads, banners is consistent common suggestions, while excessive pursuit interface diversity cultural may bring ambiguous effect. provides transferable analytical framework for mixed regeneration potentially inspire related decisionmakers adopt more refined low-cost approach enhance sustainability.
Язык: Английский
Процитировано
0Land Use Policy, Год журнала: 2024, Номер 147, С. 107357 - 107357
Опубликована: Сен. 17, 2024
Язык: Английский
Процитировано
0Land, Год журнала: 2024, Номер 13(11), С. 1886 - 1886
Опубликована: Ноя. 11, 2024
The urban built environment and sociodemographic characteristics have complex relationships with crime. However, previous studies had limitations such as generalizing green space types, functionality, characteristics. Given these, this study aimed to explore the relationship between them using more detailed indicators. utilized Google Street View points of interest depict environment. Building on work that segmented natural artificial elements in streetscape images, further distinguished trees, bush, grass. Additionally, it incorporated data from Data Analysis Visualization Unit DC Office Planning reflect a broader range individual Weighted least squares regression Pearson correlation analysis were used test environment, sociodemographic, crime, respectively. Some key findings are follows. (1) Trees, bushes, grass all reduce (2) Urban functionality is hard curb crime by enhancing informal public surveillance. (3) Among variables, walking commute rate variable most strongly positively correlated (4) Family play an important role suppressing This examined comprehensive indicators affecting favor safer cities.
Язык: Английский
Процитировано
0Applied Geography, Год журнала: 2024, Номер 175, С. 103503 - 103503
Опубликована: Дек. 27, 2024
Язык: Английский
Процитировано
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