Land Use Multi-Suitability, Land Resource Scarcity and Diversity of Human Needs: A New Framework for Land Use Conflict Identification

Abstract

Land use conflicts are intensifying due to the rapid urbanization and accelerated transformation of social and economic development. Accurate identification of land use conflicts is an important prerequisite for resolving land use conflicts and optimizing the spatial pattern of land use. Previous studies on land use conflict using multi-objective evaluation methods mainly focused on the suitability or competitiveness of land use, ignoring land resource scarcity and the diversity of human needs, hence reducing the accuracy of land use conflict identification. This paper proposes a new framework for land use conflict identification. Considering land use multi-suitability, land resource scarcity and the diversity of human needs, the corresponding evaluation index system was constructed, respectively, and the linear weighted sum model was used to calculate the land use conflict index. Taking Jinan as the study area, the spatial distribution characteristics of land use conflicts are accurately identified and analyzed. The results show that: (1) Land use multi-suitability in Shanghe county and Jiyang district is high, but the intensity of land use conflict is not. This indicates that land use multi-suitability is the premise and basis of land use conflict, but it is not the only determinant, which is consistent with our hypothesis. (2) Land use conflicts in Jinan were dominant by medium conflict, accounting for 43.89% of the conflicts, while strong and weak land use conflicts accounted for 25.21% and 30.90% of the conflicts, respectively. The spatial distribution of land use conflicts is obviously different, with high conflicts in the north and low conflicts in the south. Strong land use conflicts are concentrated in the urban and rural transition zones of Tianqiao, Huaiyin and Shizhong districts and in the northern parts of Licheng and Zhangqiu districts. (3) Inefficient land use and land resource waste aggravated regional land use conflicts in Licheng and Zhangqiu districts. (4) The new framework for land use conflict identification proposed in this study can accurately identify land use conflicts, providing a scientific reference and new ideas for accurate identification of land use conflicts.

Does secondary data suffice? Protected area conflict analysis in the era of the COVID-19 pandemic

“…Andonegi et al 2021;König et al 2021;St John et al 2021), and this is expected to increase due to the growing availability of relevant big data (Haslam 2020). However, the uni cation of indicator-driven results at a particular level of a certain scale is less commonly performed than, for instance, in the broader eld of land use con icts (Cieślak 2019;Cieślak and Biłozor 2021;Dong et al 2021). In the new conditions, we argue that a multiperspective assessment of the dataset and the entire process is required to maintain validity of multi-level PA con ict analysis.…”

Urban Comprehensive Carrying Capacity and Development Order: A “Pressure-Capacity-Potential” Logical Framework

“…With the rapid advancement of industrialization and urbanization, problems such as resource shortages, environmental pollution, and strained relationships between humans and the land have emerged in various regions (Bai et al, 2014;Long and Liu, 2016;Qu et al, 2021a). Especially in urban areas, the tension between limited resources and unlimited development demand is becoming increasingly prominent (Chen et al, 2016;Dong et al, 2021;Jiang et al, 2021). To solve this problem, it is necessary to evaluate urban carrying capacity, which is also an important basis for reasonably delimiting the city grade, development order, and expansion boundary (Liu et al, 2018;Li and Li, 2019;Wang W et al, 2020).…”

Does secondary data suffice? Protected area conflict analysis in the era of the COVID-19 pandemic.

“…27 However, the uni cation of indicator-driven results at a particular level of a certain scale is less commonly performed than, for instance, in the broader eld of land use con icts. [28][29][30] In the new conditions, we argue that a multi-perspective assessment of the dataset and the entire process is required to maintain validity of multi-level PA con ict analysis.…”