Bing Han's research while affiliated with Jinling Institute of Technology and other places
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Publications (6)
The spatio-temporal characteristics of tourist flow is one of the core topics in tourism geography. However, few studies have paid attention to community analysis in tourist flow network. This paper uses mobile signaling data based on random walk approach to identify the communities of tourist flow. A node influence evaluation is established to ide...
With the increasing trend of residents and tourists sharing urban spaces, the boundary between leisure spaces and tourism spaces is gradually being blurred. However, few studies have quantified the spatiotemporal correlation patterns of residents’ leisure activities and tourists’ activities. To fill this gap, this paper takes Nanjing as an example...
Economic expansion has caused increasingly serious land resource problems, and the decoupling of urban industrial land expansion from economic development has become a big topic for intensive development. The current research has mainly concerned industrial land efficiency, a single, static indicator, compared to a decoupling model, which takes int...
The complexity and fragmentation of people's activity space are challenging to planners. However, the relevant studies are mostly concerned on the relationship between the social attributes and the activity space of residents in a single or several communities, or the spatiotemporal laws of activity space on a macro scale. The research on the spati...
The rapid expansion of cities brings in new challenges for the urban firefighting security, while the increasing fire frequency poses serious threats to the life, property, and safety of individuals living in cities. Firefighting in cities is a challenging task, and the optimal spatial arrangement of fire stations is critical to firefighting securi...
Rapid economic and social development has been accompanied by the occurrence of many major issues throughout the world. Specifically, there is an ever-increasing demand for emergent medical services among the public. In order to ensure timely responses to emergency demands, it is critical to reasonably configure the emergency stations. In general,...
Citations
... Spatial analysis and social network analysis are employed to analyze the spatial characteristics of tourism flows. The scale of the research subject includes multiple levels, such as scenic spots [16,17], cities [18], provinces [19], and city clusters [20]. Based on this, scholars have further analyzed the influencing factors of tourist flow, pointing out that the spatial structure of tourist flow is closely related to factors such as tourism resource endowment, transportation level, and distance [21][22][23]. ...
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... Many studies focusing on China have demonstrated that industrial land expansion has a positive interaction with economic growth 4,11,12 and is a major influencing factor in CO 2 emissions [13][14][15][16] . Regional case studies suggest that the impact of industrial land on economic growth and CO 2 emissions may differ in regions depending on socioeconomic achievements 17,18 . However, there is little understanding of how these impacts differ across multiple countries with varying levels of development over time. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/11431281186827073-1694039868564_Q64/Hui-Wang-251.jpg)
... Since CatBoost was proposed by Prokhorenkova et al. (2018), it has been recognized by a large number of scholars and applied to many fields like medical treatment (Chu et al., 2022;Sau & Bhakta, 2019), geology (Lu et al., 2022), urban construction (Zheng et al., 2022), etc. CatBoost is a machine learning algorithm based on gradient boosting decision tree (GBDT). The advantage of this algorithm is that it can deal with category-based features in an efficient and reasonable way. ...
... Rodriguez et al. presented an engineering model that addresses the facility siting and equipment placement problem, considering the necessary coverage [20,21]. In contrast, Han et al. integrated ArcGIS analysis techniques with the distribution of urban fire risks to effectively reduce the response time of firefighting forces at high-risk locations [22]. Yu et al. incorporated the variable of fire engine travel time into the fire station siting process, while Boschetti et al. developed a metaheuristic algorithm that addresses the ensemble coverage problem [23,24]. ...
... When the number of facilities points to deploy is unknown, the LSCP model can determine the minimum number of facilities, such that all demands within a designated service time or distance, would be met [16,21,22]. However, most LA model concerns in previous research of public health services have centred on the planning of new facilities based on the locations of existing service sites [23][24][25], while in the case of deploying NAT sites, none of the models mentioned above can solely deal with this problem, since both the number and distribution of NAT sites are unknown. ...
