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Li Tan, Jiayi Jiang, Meng Guo and Yujia Zhong
Land use types other than specialized athletic fields provide a variety of jogging environments, addressing the shortage of urban fitness facilities and promoting urban health as well as sustainability. Currently, there is limited research comparing the ...
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Sicong Liu, Yinbao Zhang, Jianzhong Liu, Xinjia Zhang and Xiaoshuang Huang
Myanmar is among the regions with the most frequent activities of International Non-Government Organizations (INGOs). Analyzing the spatio-temporal patterns of these activities holds crucial importance for optimizing organizational coordination and enhan...
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Qingyan Wang, Longzhi Sun and Xuan Yang
Rice yield is essential to global food security under increasingly frequent and severe climate change events. Spatial analysis of rice yields becomes more critical for regional action to ensure yields and reduce climate impacts. However, the understandin...
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Avijit Sarkar, James B. Pick and Shaista Jabeen
This paper examines spatiotemporal patterns and socioeconomic influences on host participation in Airbnb?s short-term rental (STR) marketplace in San Francisco during the years 2019?2022, a four-year period that spans the COVID-19 pandemic. This provides...
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Anteneh Afework Mekonnen, Tibor Sipos and Nóra Krizsik
Identifying and prioritizing hazardous road traffic crash locations is an efficient way to mitigate road traffic crashes, treat point locations, and introduce regulations for area-wide changes. A sound method to identify blackspots (BS) and area-wide hot...
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Jianhong Chen, Hongcai Ma, Shan Yang, Zhiyong Zhou, Jianhui Huang and Licheng Chen
The rapid development of urbanization has led to increasing uncertainties related to urban safety risks, which has brought certain challenges to the sustainable development of cities. The concept of urban resilience has found a new way to improve the abi...
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Hao Huang, Di Li, Zenglin Han, Hao Zhang, Hongye Wang and Ye Duan
Based on the data of existing warehouse supermarkets in Liaoning Province, China, spatial autocorrelation analysis, kernel density analysis, composite correlation coefficient analysis and other methods have been adopted to analyze their spatial-temporal ...
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Prabal Pratap Singh and Deepu Philip
Terrorism perpetrated in any country by either internal or external actors jeopardizes the country?s security, economic growth, societal peace, and harmony. Hence, accurate modelling of terrorism has become a necessary component of the national security ...
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Shuai Sun and Haiping Zhang
Spatial autocorrelation analysis is essential for understanding the distribution patterns of spatial flow data. Existing methods focus mainly on the origins and destinations of flow units and the relationships between them. These methods measure the auto...
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Xinyi Lai and Chao Gao
The spatiotemporal patterns of residential and supporting service facilities are critical to effective urban planning. However, with growing urban sprawl and congestion, the spatial distribution patterns and evolutionary characteristics of these areas sh...
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