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Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
Hot and cold spot identification is a spatial analysis technique used in various issues to identify regions where a specific phenomenon is either strongly or poorly concentrated or sensed. Many hot/cold spot detection techniques are proposed in literatur...
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Qiong Chen, Hongyu Zhang, Yui-yip Lau, Kaiyuan Liu, Adolf K. Y. Ng, Weijie Chen, Qingmei Liao and Maxim A. Dulebenets
Maritime transportation is vital for the movement of cargo between different continents and distant locations but can be disrupted by the frequent occurrence of pirate attacks. Based on the pirate attacks from July 1994 to December 2019, a spatial analys...
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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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Miguel Saraiva and Bárbara Teixeira
In post-pandemic, climate-changing societies, the presence of urban greenspace assumes paramount functions, at the same time that socio-economic crises and shocks augment vulnerabilities and insecurities. The recent literature on environmental criminolog...
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Huanchun Huang, Shuying Zhang, Shangao Xiong and Chunxiang Shi
The emotional health of urban residents has been seriously threatened by frequent and normalized heat waves. This study constructed the VI-level assessment standard for emotional health risk using data from satellite images, meteorological sites, questio...
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Jingbo Wang, Yu Xia and Yuting Wu
The distribution and sentiment characteristics of tourists directly reflect the state of tourism development, and are an important reference for tourists to choose scenic areas. Sensing the tourist distributions and their sentiment variations can provide...
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Qirui Wu, Zhigang Han, Caihui Cui, Feng Liu, Yifan Zhao and Zhaoxin Xie
Road vulnerability is crucial for enhancing the robustness of urban road networks and urban resilience. In medium or large cities, road failures in the face of unexpected events, such as heavy rainfall, can affect regional traffic efficiency and operatio...
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Haitao Zhang, Huixian Shen, Kang Ji, Rui Song, Jinyuan Liu and Yuxin Yang
Applying spatial clustering algorithms on large-scale spatial interactive dataset to find urban hot/cold spots is a new idea to assist urban management. However, the research usually focuses on the dataset with spatio-temporal proximity, rather than remo...
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Yu Chen, Qianqian Miao and Qian Zhou
The ecological protection and high-quality development (HQD) of the Yellow River Basin (YRB) have been promoted as national strategies. An urban agglomeration is the basic unit of the YRB used to participate in international competitions. Taking seven ur...
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Zechun Huang
Unlike previous regionalized studies on a worldwide crisis, this study aims to analyze spatial distribution patterns and evolution characteristics of the COVID-19 pandemic, using space-time aggregation and spatial statistics from a global perspective. He...
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