Author
Yun-Hao Dong
Bio: Yun-Hao Dong is an academic researcher from Tongji University. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.
Papers
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TL;DR: The proposed assessment method provides an efficient tool for planning and design of MUS in different scenarios, and the practical understanding of MUS development was strengthened.
32 citations
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TL;DR: In this article , the authors proposed an automated deep learning approach to quantitatively explore the association between the street built environment and street vitality, and established a deep learning model for street vitality classification for automatic evaluation of street vitality.
19 citations
TL;DR: In this article , the authors explored the relationship between metro systems and urban development, with particular focus on the comprehensive impacts of metro development on the economic, environmental and social development of cities.
13 citations
TL;DR: Wang et al. as mentioned in this paper explored the influence of street network accessibility and structure on the spatial and temporal distribution of strip-city spatial vitality, using hotspot analysis (Getis-Ord Gi*) to analyze the dispersal characteristics of street space vitality.
Abstract: In the context of China’s recent urbanization, the agglomeration and diffusion of the strip-city spatial network are gradually being reconstructed. The ways in which the street network structure affects the underlying logic of economic and social development is worthy of in-depth consideration. This study takes Lanzhou (a typical strip city in China) as a case study, using dynamic, geographic, big data and spatial syntactic-theory models to explore the influence of street network accessibility and structure on the spatial and temporal distribution of strip-city spatial vitality. We use Hotspot Analysis (Getis-Ord Gi*) to analyze the dispersal characteristics of street space vitality. In addition, the spatial and temporal heterogeneity characteristics and mechanism of the influence of street accessibility on spatial vitality are evaluated using the spatial Durbin model (SDM). The results show that: the temporal and spatial performance of urban vitality on weekdays and weekends conforms to people’s daily activities, offering similar spatial agglomeration and dispersion effects; accessibility and pedestrian-friendly streets have better urban spatial vitality clustering; street network integration significantly affects the reshaping of urban vitality, but there is apparent temporal heterogeneity in the degree of impact.
11 citations
TL;DR: In this paper, a comprehensive literature review was conducted, showing that there have been few studies on UUS capacity demand forecasting, the selection of forecasting indicators lacks consideration of energy conservation and sustainability, and extant forecasting methods are diverse and unsystematic, making effective forecasting difficult.
9 citations
TL;DR: In this article , a comprehensive literature review was conducted, showing that there have been few studies on UUS capacity demand forecasting, the selection of forecasting indicators lacks consideration of energy conservation and sustainability, and extant forecasting methods are diverse and unsystematic, making effective forecasting difficult.
9 citations