Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China

Abstract

Urban green space (UGS) provides critical ecosystem services and alleviates environmental problems caused by rapid urbanization. The Analytic Hierarchy Process (AHP) method is recognized as a traditional technique to identify the weight of the UGS suitability evaluation. We reveal the limitations of the AHP method for its subjectivity and uncertainty. Then, we introduce the AHP and coefficient of variation (AHP-CV) combined weight method to better evaluate the suitability of UGS. Based on the principle of minimum information entropy, the AHP-CV combined weight method takes advantage of both the AHP and CV methods, thus keeping a good balance between subjectivity and objectivity. We used the green space system planning of Fuping County in China as a case study. A new evaluation index system was established using 4 aspects. Our results show that high-suitability areas are mainly distributed around the northern mountainous regions, 2 important rivers and the outer areas of the central city. By comparing the UGS suitability evaluation results obtained by the AHP, CV, and AHP-CV combined weight methods, we found that the AHP-CV method was optimal. Therefore, the AHP-CV combined weight method will not only enrich spatial Multi-Criteria Decision-Making techniques but also have a wide application in the related fields of land-use planning.

Assessment of Individual Tree Detection and Canopy Cover Estimation using Unmanned Aerial Vehicle based Light Detection and Ranging (UAV-LiDAR) Data in Planted Forests

“…The traditional approach for canopy cover measurements was field measurements with artificial, most of which were collected by looking upward from sample points, which was time consuming and labor intensive. Notably, this approach can only obtain canopy cover data at a small scale [13,17,18].Remote sensing can acquire forest canopy cover data rapidly and accurately at a large scale [19][20][21]. Light detection and ranging (LiDAR) is an active remote sensing technology that transmits laser pulses to the surface of objects and records return signals.…”

“…Remote sensing can acquire forest canopy cover data rapidly and accurately at a large scale [19][20][21]. Light detection and ranging (LiDAR) is an active remote sensing technology that transmits laser pulses to the surface of objects and records return signals.…”

Construction of Disaster Prevention Capability Evaluation Framework of Urban Park System: Methodology and Its Application in China

“…After reviewing the relevant literature (Somma et al, 2016;Li, Fan, & Shen, 2018), we conclude that the evaluation index system of disaster prevention ability of urban park system should be able to depict the efficiency of its disaster prevention function in the three periods of predisaster prevention, evacuation during disasters and reconstruction after disasters. At the same time, the relationship between urban park and urban residents should be taken into account.…”

The Application Fuzzy Delphi Method to Summarize Key Factors in the Education of Construction Engineers

“…The multi-objective decision-making analysis method has two major research directions, which are Multiple Objective Programming and Multiple Criteria Decision Making, respectively. Regarding the practical application, Multiple Objective Programming is used for solving the "design-level" issues; Multiple Criteria Decision Making is used to solve the "choice-level" or "assessment-level" issues [7]. In this paper, the concept of membership function being added based on Delphi Method is used to replace the conventional crisp number [8], and a Fuzzy Delphi Method for fuzzy evaluation recognized by the experts is used.…”