Zhang Bin

Mr. Zhang Bin

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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27 August 2025 in Sustainability
Verified
Journal Article
Open access
PDF file
ZBZhang Bin
Zhang Bin
ZLZhong Linsheng
Zhong Linsheng
YZYuxi Zeng
Yuxi Zeng
To achieve the sustainable development of nature reserves, the public welfare associated with these areas has been assessed based on ecological supply and social demand. The Public Welfare Index comprehensively incorporates ecological factors, such as landforms, resource endowment, and ecological quality, as well as socio-economic factors, including travel costs, economic base, and population distribution. This index reflects both the ecological supply capacity of nature reserves and the equity with which they provide welfare to different groups. The findings indicate that the Public Welfare Index is an effective measure of the rationality of welfare distribution. Currently, the public welfare of nature reserves in China exhibits a spatial pattern of high welfare in the west and low welfare in the east. This issue of welfare inequality in nature reserves is highly pronounced. The primary objective of this research is to identify the characteristics of welfare distribution and to offer novel perspectives and strategies for optimizing the spatial layout of nature reserves and informing policy decisions.

7 December 2024 in Land
Verified
Journal Article
Open access
PDF file
MLMeng Li
Meng Li
ZLZhong Linsheng
Zhong Linsheng
YHYu Hu
Yu Hu
JWJingwen Wang
Jingwen Wang
XZXin Zheng
Xin Zheng
ZBZhang Bin
Zhang Bin
The national parks agglomeration in China is presently undergoing a pivotal phase of planning and construction. Synergistic development of nature-based tourism within the Qinghai–Tibet Plateau National Parks Agglomeration is essential for optimizing the spatial configuration of regional functions and substantiating the necessity of the agglomeration development of national parks. This study develops an assessment framework for the synergistic development of nature-based tourism based on the interconnection of elements. By constructing a model of nature-based tourism elements’ interconnections and employing social network analysis, it investigates the characteristics and status of synergistic development in nature-based tourism within the Qinghai–Tibet Plateau National Parks Agglomeration, while also proposing pathways for optimization. The findings reveal that: (1) By integrating multi-source heterogeneous data on resource complementarity, product connectivity, tourist source sharing, and information linkage, a robust assessment framework for the synergistic development of nature-based tourism in the national parks agglomeration was established. (2) The synergistic development of nature-based tourism within the national parks agglomeration on the Qinghai–Tibet Plateau demonstrates spatial heterogeneity. Shangri-La National Park and Qinghai Lake National Park serve as the core of the tourism flow network, whereas Mount Kailash National Park, Gaoligong Mountain National Park, and Pamir–Kunlun Mountains National Park exhibit the least favorable states of coordinated development. (3) Utilizing social network analysis, this study classified the national parks into core and peripheral positions within the nature-based tourism synergy network and proposed corresponding optimization strategies. The findings of this research contribute to optimizing the overall layout of the Qinghai–Tibet Plateau national parks agglomeration. Additionally, they provide theoretical and methodological references for the nature-based tourism synergistic development in other national park agglomerations.