Abstract
Urban land consolidation (ULC) is a technique used globally for urbanization planning. Selecting a suitable area for ULC becomes the most feasible plan for urban redevelopment in China, which can be regarded as a complex multi-criteria group decision-making problem. In this article, a hesitant probabilistic fuzzy multi-criteria group decision-making framework is proposed to solve the site selection problem of ULC. In the framework, hesitant probabilistic fuzzy set are used to represent the evaluation information provided by decision makers. Furthermore, the framework utilizes a new method based on entropy and the analytic hierarchy process for determining weights. The hesitant probabilistic fuzzy combined weighted logarithmic averaging distance (HPFCWLAD) measure is then introduced for sorting the alternatives found by the system. To validate the proposed framework, a site selection case of ULC including five alternatives in Hangzhou is investigated. The effectiveness and stability of the framework is proved through a comparative analysis.
Highlights
Urban land consolidation (ULC) is generally considered as a spatial problem-solving technique that attempts to eliminate certain types of land fragmentation through a process of plots concentration [1]
ordered weighted logarithmic averaging distance (OWLAD) measure is widely used at present in multi-criteria group decision-making (MCGDM), but this measure is generally focused on aggregating crisp variables, and can’t solve the HPF information
Selecting a site to carry out land integration in a city with high degree of construction is more related to the effect of ULC and the layout of city
Summary
Urban land consolidation (ULC) is generally considered as a spatial problem-solving technique that attempts to eliminate certain types of land fragmentation through a process of plots concentration [1]. Based on the framework of land consolidation proposed by Shan et al [35], the factors that immediate affect the urban development mainly include the status of economy, ecology, and society: (1) as for economy, project implementation and economic output can stimulate industry expansion and personal income growth [16], [36]; (2) as for ecology, project implementation and facility utilization can improve land use rate and may affect the properties of soil, water and biology [17], [20], [37], [38]; (3) as for society, project implementation and industry change can increase jobs and promote transportation convenience. Defined as the risk appetite parameter, and the larger the ξ , the greater the risk
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