|
|
|
|
|
Xinyu Qu, Xinyan Zhu, Xiongwu Xiao, Huayi Wu, Bingxuan Guo and Deren Li
Some studies on the impact of traditional land use factors on traffic crashes do not take into account the limitations of spatial heterogeneity and spatial scale. To overcome these limitations this study presents a systematic method based on multi-scale ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raymond Low, Zeynep Duygu Tekler and Lynette Cheah
Point of interest (POI) data serves as a valuable source of semantic information for places of interest and has many geospatial applications in real estate, transportation, and urban planning. With the availability of different data sources, POI conflati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guangsheng Dong, Rui Li, Fa Li, Zhaohui Liu, Huayi Wu, Longgang Xiang, Wensen Yu, Jie Jiang, Hongping Zhang and Fangning Li
An imbalance in urban development in China has become a contradiction. Points of Interest (POIs) serve as representations of the spatial distribution of urban functions. Analyzing POI spatial co-occurrence patterns can reveal the agglomeration patterns o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zheng Li, Xueyuan Huang, Liupeng Gong, Ke Yuan and Chun Liu
Next Point-of-Interest (POI) recommendation has shown great value for both users and providers in location-based services. Existing methods mainly rely on partial information in users? check-in sequences, and are brittle to users with few interactions. M...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruijing Li, Jianzhong Guo, Chun Liu, Zheng Li and Shaoqing Zhang
With the popularity of location-based social networks such as Weibo and Twitter, there are many records of points of interest (POIs) showing when and where people have visited certain locations. From these records, next POI recommendation suggests the ne...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hang Zhang, Mingxin Gan and Xi Sun
In location-based social networks (LBSNs), point-of-interest (POI) recommendations facilitate access to information for people by recommending attractive locations they have not previously visited. Check-in data and various contextual factors are widely ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chengming Li, Li Liu, Zhaoxin Dai and Xiaoli Liu
Point of interest (POI) matching is critical but is the most technically difficult part of multi-source POI fusion. The accurate matching of POIs from different sources is important for the effective reuse of POI data. However, the existing research on P...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mingxin Gan and Ling Gao
Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow online users to discover various POIs for social activities occurring in the near future close to their current locations. Research has verified that people?s prefere...
ver más
|
|
|
|
|
|
|
|
|
|
|
Di Wang, Bart Dewancker, Yaqiong Duan and Meng Zhao
The rail transit station realm is an important urban spatial node that carries various behavioral activities and multiple functions. In order to accurately identify the spatial and temporal distribution of population activities and functional facilities ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yiyi Huang, Tao Lin, Guoqin Zhang, Wei Zhu, Nicholas A. S. Hamm, Yuqin Liu, Junmao Zhang and Xia Yao
Population spatialization data is crucial to conducting scientific studies of coupled human?environment systems. Although significant progress has been made in population spatialization, the spatialization of different age populations is still weak. POI ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yue Chen, Haizhong Qian, Xiao Wang, Di Wang and Lijian Han
As cities continue to grow, the functions of urban areas change and problems arise from previously constructed urban planning schemes. Hence, the actual distribution of urban functional areas needs to be confirmed. POI data, as a representation of urban ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunyang Liu, Jiping Liu, Shenghua Xu, Jian Wang, Chao Liu, Tianyang Chen and Tao Jiang
With the growing popularity of location-based social media applications, point-of-interest (POI) recommendation has become important in recent years. Several techniques, especially the collaborative filtering (CF), Markov chain (MC), and recurrent neural...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ai-Sheng Wang, Zhang-Cai Yin and Shen Ying
The possibility of moving objects accessing different types of points of interest (POIs) at specific times is not always the same, so quantitative time geography research needs to consider the actual POI semantic information, including POI attributes and...
ver más
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Guodong Yan, Lin Zou and Yunan Liu
The nighttime economy (NTE) is one of the primary measures used by the Chinese government to promote urban consumption and capital flow. Especially after COVID-19, more regulations were introduced by both the central and local governments to accelerate t...
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
|
|
|
|
|
|
|
|
|
|
|
Syed Raza Bashir, Shaina Raza and Vojislav B. Misic
Recommending points of interest (POI) is a challenging task that requires extracting comprehensive location data from location-based social media platforms. To provide effective location-based recommendations, it is important to analyze users? historical...
ver más
|
|
|
|
|
|
|
|
|
|
|
Runpeng Xu, Zhenjie Chen, Feixue Li and Chen Zhou
With rapid urbanization, urban functional zones have become important for rational government and resource allocation. Points of interest (POIs), as informative and open-access data, have been widely used in studies of urban functions. However, most exis...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eirini Nektaria Konstantinou, Andriani Skopeliti and Byron Nakos
This paper studies the design of point symbols on widely used online maps and apps that portray tourist points of interest (POIs). Tourist maps are among the most commonly used types of maps nowadays. The ease of travel leads to an ever-increasing demand...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sumet Darapisut, Komate Amphawan, Nutthanon Leelathakul and Sunisa Rimcharoen
Location-based recommender systems (LBRSs) have exhibited significant potential in providing personalized recommendations based on the user?s geographic location and contextual factors such as time, personal preference, and location categories. However, ...
ver más
|
|
|
|
|
|