|
|
|
|
|
Yose Lee and Ducksu Seo
While understanding the dynamic urban network through the concept of regional centrality has provided various implications on the structure and hierarchy of cities, the macroscopic focus of previous studies has largely overlooked the small-scale physical...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pornrawee Tatit, Kiki Adhinugraha and David Taniar
Using spatial data in mobile applications has grown significantly, thereby empowering users to explore locations, navigate unfamiliar areas, find transportation routes, employ geomarketing strategies, and model environmental factors. Spatial databases ar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Zhou and Chen Wang
Identifying the spatial association between commercial sites and residences is important for urban planning. However, (1) the patterns of spatial association between commercial sites and residences across an urban space and (2) how the spatial associatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei-Ling Hsu, Yi-Jheng Chang, Lin Mou, Juan-Wen Huang and Hsin-Lung Liu
Historic urban areas are the foundations of urban development. Due to rapid urbanization, the sustainable development of historic urban areas has become challenging for many cities. Elements of tourism and tourism service facilities play an important rol...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rafael Sierra Requena, José Carlos Martínez-Llario, Edgar Lorenzo-Sáez and Eloína Coll-Aliaga
The spatial and semantic data of geographic addresses are extremely important for citizens, governments, and companies. The addresses can georeference environmental, economic, security, health, and demographic parameters in urban areas. Additionally, add...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mingyang Yu, Haiqing Xu, Fangliang Zhou, Shuai Xu and Hongling Yin
Accurate and efficient classification maps of urban functional zones (UFZs) are crucial to urban planning, management, and decision making. Due to the complex socioeconomic UFZ properties, it is increasingly challenging to identify urban functional zones...
ver más
|
|
|
|
|
|
|
|
|
|
|
Die Zhang, Yong Ge, Xilin Wu, Haiyan Liu, Wenbin Zhang and Shengjie Lai
Data-driven approaches predict infectious disease dynamics by considering various factors that influence severity and transmission rates. However, these factors may not fully capture the dynamic nature of disease transmission, limiting prediction accurac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ziwei Huang, Shaoying Li, Yihuan Peng and Feng Gao
The development of the county economy in China is a complicated process that is influenced by many factors in different ways. This study is based on multi-source big data, such as Tencent user density (TUD) data and point of interest (POI) data, to calcu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhenhui Sun, Peihang Li, Dongchuan Wang, Qingyan Meng, Yunxiao Sun and Weifeng Zhai
The identification of urban functional zones (UFZs) is crucial for urban planning and optimizing industrial layout. Fusing remote sensing images and social perception data is an effective way to identify UFZs. Previous studies on UFZs recognition often i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yijia Liu, Wenzhong Shi, Yue Yu, Linya Peng and Anshu Zhang
COVID-19 has caused a serious economic shock which challenges the resilience of businesses around the world. Understanding the spatial distribution pattern of business resilience, as well as identifying factors that promote business resilience, is crucia...
ver más
|
|
|
|
|
|