Jinping Lin

Dr. Jinping Lin

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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2 December 2019 in Sustainability
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Journal Article
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JLJinping Lin
Jinping Lin
JLJun Lei
Jun Lei
ZYZhen Yang
Zhen Yang
JLJiangang Li
Jiangang Li
With the socio-economic transformation, the recombination of regional development factors and the followed reconstruction of the rural development elements system have profoundly changed the rural landscape of the Kashgar region in Northwest China. The factors affecting the rural production and lifestyle interact with each other, shaping different types of rural development. Accordingly, basing on the main factors influencing the rural development ability and long-term development potential, the assessment indicator system of rural comprehensive development (RCD) was established to reveal the differentiation of rural development and identify the dominant factors affecting rural development. The principal component analysis method and the cluster analysis method was used to distinguish the different types. The results show that the high-level rural development areas are mainly concentrated in the center of the region, while the low-level areas are mainly distributed in the periphery, with significant spatial differentiation characteristics. We divided the rural development into three categories and 11 zones for which the basic natural conditions and external challenges are different. The categories reflect three possible results of rural development: grow, decline, and vanish, which is in the industrialization development stage. With the transformation of human society and the change of urban–rural relationship in its mode and content, the external economy, society, and changing environment has put pressures on rural areas. Therefore, according to different rural development types, it is necessary to take measures to strengthen the rural areas to cope with external environmental challenges.

Verified
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Open access
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JLJinping Lin
Jinping Lin
KWkangmin Wu
kangmin Wu
SYShan Yang
Shan Yang
QLQIANQIAN LIU
QIANQIAN LIU
Population mobility patterns are an important reflection of the future distribution of migrant populations and the evolution trends of urbanization patterns. However, although research based on statistical data can reveal the pattern of population flow, it also shows a time lag. Most of the population flow network research based on location services data has failed to fully discuss the symmetry of directional outflows and inflows in the same place and the two-way symmetrical connections between places. This paper creatively proposes and constructs the concept and analysis framework of population flow asymmetry. We used the Yangtze River Delta (YRD) as a typical case and the results of our analysis reveal the temporal and spatial asymmetry of the population flow using complex network analysis methods based on the Spring Festival (SF) population migration big data. We found that the timing asymmetry manifested in such a way that the closer it was to the festival, the greater the scale and intensity of the population movement. This is a feature of the lack of scale and regional differences within China. The spatial asymmetry was manifested in three aspects, network, node, and link, and the core cities with administrative and economic hierarchical advantages dominated the asymmetric pattern of regional population mobility. In addition, distance and administrative boundaries are factors that cannot be ignored in population movements, and they were implicated in the degree of asymmetry by distance enhancement and administrative boundary blocking. The conclusions of this study can not only provide policy decision-making guidelines for population management and resource allocation in the YRD, but they can also provide a reference value for achieving the goal of regional, high-quality, integrated development. Future research will further the discussion and management of socio-economic attributes in order to develop a more detailed and microscopic understanding of the mechanisms of population mobility patterns.

9 October 2026 in Applied Spatial Analysis and Policy
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JLJinping Lin
Jinping Lin
KWkangmin Wu
kangmin Wu