Xue Jiang

Prof. Dr. Xue Jiang

Jilin Jianzhu University, Changchun, Jilin, China
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 August 2022 in Land Use Policy
Verified
Journal Article
Closed access
XJXue Jiang
Xue Jiang
BLBingxin Li
Bingxin Li
HZHongyu Zhao
Hongyu Zhao
QZQiqi Zhang
Qiqi Zhang
XSXiaoya Song
Xiaoya Song
HZHaoran Zhang
Haoran Zhang

16 April 2021 in Land
Verified
Journal Article
Open access
PDF file
XJXue Jiang
Xue Jiang
XSXiaoya Song
Xiaoya Song
HZHongyu Zhao
Hongyu Zhao
Haoran ZhangHaoran Zhang
Haoran Zhang
Organization of rural tourism resources is important for optimizing rural land use based on rational resource classification. Quantitative analysis was performed to evaluate the resource control ability of rural tourism networks. This was achieved by determining the resource control relationship and assessing the structure of the rural tourism network. The ability of resource control was analyzed via resource abstraction, which included the extraction of resource nodes and corridors, control scope analysis, and network structure level evaluation. The proposed approach was applied to the Ning’an in Heilongjiang Province, China, and proved to be effective for exploring the network degree and development trends in rural tourism resources. By examining the resource control ability, the spatial characteristics and development trend in rural tourism networks were quantitatively analyzed, especially the connection mode of key tourism resources, network structure analysis, and resource linking ability. The core resources showed a lack of outward ability in the network, and the secondary resource expansion ability was limited. Via resource control ability analysis, this study focused on areas with rich tourism but an unbalanced spatial structure, combining the directional characteristics of the network to provide suggestions for the optimization rural tourism resources network in other regions of the world.

28 May 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
HZHongyu Zhao
Hongyu Zhao
XJXue Jiang
Xue Jiang
YCYujie Cao
Yujie Cao
HZHaina Zhang
Haina Zhang
SZShinan Zhen
Shinan Zhen
SZShichao Zhang
Shichao Zhang
Low mountainous areas provide high-quality ecological environments, offering a high urban development value globally. However, cold low mountainous areas are greatly affected by wind environments. Therefore, this study investigates a simulated block wind environment in a typical city in a cold low mountainous area. As opposed to previous work, we put forward the block spatial modes quantitatively for cold low mountainous areas. Computational fluid dynamics (CFD) technology is used to simulate the wind environment of building blocks, including point-type high-rise buildings and row-type multi-story buildings. We propose a new targeted wind environment measurement system developed using PHOENICS 2018 and a spatial combination model using urban information sensing for sustainable development. By comparing the average wind speed (WAS) and calm wind area ratio (SCA) under different simulation conditions, we were able find that when the building form, slope direction, and slope were constant, WAS was inversely proportional to SCA, following the order of south slope > west slope > southwest slope > southeast slope. Second, proper selection of 1:2 and 1:3 ratios for point-type high-rise buildings (HPT) can provide good ventilation for cold low mountainous areas. In addition, continuous high-rise buildings should be avoided. These strategies have been applied in practice in the spatial design of the Lianhuashan tourist resort in Changchun. Possible optimization strategies for planners and governments could include promoting pedestrian spatial environments in these special areas. Moreover, this research is significant for the collection and mining of data-based wind information in cold low mountainous areas, thereby providing scientific quantitative evaluation methods and spatial organisation optimisation guidelines.

12 February 2020 in Sustainability
Verified
Journal Article
Open access
PDF file
XJXue Jiang
Xue Jiang
TZTianyu Zhao
Tianyu Zhao
The ecological value, cultural value, economic value and industrial value of the county space, where a variety of human activities and natural ecological processes are carried out, act as the key elements considered in county spatial planning. However, there is a lack of carrying space for integrating these values in the actual Chinese county construction. In this article, the construction of a county greenway network is based on multiple needs, such as ecological protection, characteristic landscape, leisure and recreation. The ecological, cultural and economic values of resources are taken as the basis of identifying a greenway network. We establish the gravitation-resistance model to measure network flow based on the attraction and resistance between resources. In particular, by means of network flow analysis and the geographic information system (GIS), the resistance and gravity are assigned to the resources and landscapes, respectively. The attraction between elements is then measured using the gravitation-resistance model. The distribution of resources and the trend of integration are analyzed by the combination of the centrality of resources and the ratio of supply to demand. Based on the analysis results of network flow, the paper puts forward a strategy for developing a county greenway network, and improves the scientific evaluation of the spatial resource. It provides a new perspective for the construction of a county greenway network.