A street-view-based method to detect urban growth and decline: A case study of Midtown in Detroit, Michigan, USA

Byun, Giyoung; Kim, Young Chul

doi:10.1371/journal.pone.0263775

Cited by 16 publications

(3 citation statements)

References 35 publications

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“…To address this issue, it is recommended that planning authorities or the local government explore options for providing financial support, such as small grants or loans, to incentivise restoration and refurbishment efforts. Additionally, site planning should take into account the presence of mobile vendors, who form part of the informal retail/market sector and contribute to the unique character of the site (Byun & Kim, 2022).…”

Section: Discussionmentioning

confidence: 99%

Assessing the Social Values of Historical Waterfront: A Case Study of Sungai Petani, Kedah, Malaysia

Ying,

Hassan,

Zainal Abidin

et al. 2023

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Waterfronts are vibrant areas that are heavily utilised by people with activities in pre-industrial cities. Riverfronts and towns have a tight association during this time frame. As a result, industrial plants were shut down and modes of transportation were altered. In the face of rapid urbanisation and industrialisation in Sungai Petani, Kedah, there is a growing concern that the economic and environmental changes may negatively affect the social values among the community. Overall, this research aims to identify several key areas for the historical waterfront regeneration of Sungai Petani. A social impact assessment was conducted to analyse the social values of the existing waterfront to expand the aspects of social and culture to the planning of urban waterfront regeneration in Sungai Petani. Results of the questionnaire revealed that respondents showed their satisfaction and opinion upon the waterfront element. There are 61.6% proportion of the respondents who consider that the community cohesiveness is the greatest strength of the Sungai Petani’s waterfront. This is followed by cultural vibrancy (47.2%), beautiful streets (40.8%), streets in harmony with nature (28.8%), and beautiful river (12%). At the end of the study, solutions were suggested for the regeneration of historical waterfront and correcting mistakes in existing spaces in light of these determinations.

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Section: Discussionmentioning

confidence: 99%

Assessing the Social Values of Historical Waterfront: A Case Study of Sungai Petani, Kedah, Malaysia

Ying,

Hassan,

Zainal Abidin

et al. 2023

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“…SVI data is commonly provided by commercial services such as Google Street View (GSV), and crowdsourced platforms such as Mapillary and KartaView. SVI has enabled and enhanced a wide spectrum of applications in urban-related topics including spatial data infrastructure, public health, urban greenery, transportation, mobility, perception, socioeconomics, and so on (Branson et al, 2018;Cheng et al, 2018;Zhang et al, 2019a;Pelizari et al, 2021;Li et al, 2021;Yao et al, 2021;Inoue et al, 2022;Qiu et al, 2022;Hosseini et al, 2022;Byun and Kim, 2022;Guan et al, 2022).…”

Section: Street View Imagery For Lcz Classificationmentioning

confidence: 99%

Local Climate Zones: Lessons From Singapore and Potential Improvement With Street View Imagery

Ignatius

Hou

et al. 2022

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Urban heat island (UHI) is considered a serious environmental issue in highly urbanized cities such as Singapore. To better quantify the UHI intensity, the local climate zones (LCZ) classification scheme was adopted to characterize land covers, and describe and compare their thermal performance. There are three commonly used LCZ classification approaches: manual sampling,World Urban Database and Access Portal Tools (WUDAPT) processing method using remote sensing, and geographical information system (GIS)-based method. Based on the current implementation of WUDAPT Level 0 method in the classification work in Singapore, the principal limitations are expounded. To overcome the deficiencies, street view imagery (SVI), which carries substantial urban spatial information, is regarded as a promising data source. This paper reviews the potential of SVI to better estimate certain LCZrelated properties, such as sky view factor (SVF). As it allows a detailed view on the ground objects, SVI opens up the possibility of identifying surface properties such as albedo, as well as anthropogenic heat sources. Although it is not a novel idea, there has been a lack of a comprehensive use of SVI in assisting LCZ classification from the ground up, especially in a high-density city such as Singapore. This paper overviews potential ways to incorporate SVI and identifies challenges such as coarse temporal resolution and spatial coverage constrained to drivable roads.

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“…Scholars have established various scoring matrixes including and not limited to manual scoring [16], hue, saturation, and value (HSV) [17], semantic segmentation [18], and machine learning [14]. They have evaluated the spatial quality of streets in various contexts, touching on a wide range of domains including urban health [19], urban activities [20][21][22], urban change [23,24], built environment quality [25], urban mobility [26,27], urban perception [28][29][30][31][32][33], sidewalks [34,35], signalized intersections [36], and so on.…”

Section: Introductionmentioning

confidence: 99%

Spatial Quality Evaluation of Historical Blocks Based on Street View Image Data: A Case Study of the Fangcheng District

Yan

Xiu

2023

Buildings

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Urbanization in China has reached a mature stage, and research on spatial quality has become an important topic in urban research. This paper employs a machine learning method using a large set of street view image data to explore the spatial quality for historical districts, specifically in terms of vitality, safety, and landscape. The Fangcheng district is taken as the research object to evaluate the spatial quality of historical blocks. The results suggest that the following: (1) The spatial quality of the Fangcheng district presents a pyramidal structure. (2) High-quality streets are mainly distributed in the core areas of historical protection and commercial areas, medium-quality streets are mainly distributed in residential areas around the core areas of the historical district, and low-quality streets are mostly streets with poor accessibility. Based on the findings, we proposed several spatial quality improvement recommendations for the Fangcheng district in Shenyang.

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A street-view-based method to detect urban growth and decline: A case study of Midtown in Detroit, Michigan, USA

Cited by 16 publications

References 35 publications

Assessing the Social Values of Historical Waterfront: A Case Study of Sungai Petani, Kedah, Malaysia

Assessing the Social Values of Historical Waterfront: A Case Study of Sungai Petani, Kedah, Malaysia

Local Climate Zones: Lessons From Singapore and Potential Improvement With Street View Imagery

Spatial Quality Evaluation of Historical Blocks Based on Street View Image Data: A Case Study of the Fangcheng District

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