Integrated Sustainability Assessment of Public Rental Housing Community Based on a Hybrid Method of AHP-Entropy Weight and Cloud Model

Abstract

As an essential part of a city, community is significant to the sustainable development of the city. At present, research on community sustainability assessment systems is relatively scarce. The existing community sustainability assessment systems often lack integrated consideration of community sustainability. For example, these systems especially place emphasis on the ecological and environmental aspects, but the economic and social aspects of sustainability are partially ignored. In order to comprehensively evaluate the sustainability of a community, this paper draws on the "participatory philosophy" and constructs an integrated assessment indicator system that includes five dimensions: environment; economy; society; institution; and culture. On this basis, a new hybrid evaluation method based on analytical hierarchy process (AHP)-entropy weight and the cloud model is proposed to evaluate community sustainability. This method combines AHP and the entropy weight method to determine index weight, thus making full use of their respective advantages. At the same time, it makes use of the superiority of the cloud model to transform qualitative remarks into quantitative representations and to reflect fuzziness and randomness. To verify the feasibility of this method, a case study is carried out on the "Minxinjiayuan" public rental housing community in Chongqing, China. The results show that the overall sustainability of the community lies between the "middle" and "good" level, and closer to the "middle" level. The level of the economic and social sustainability is higher than that of the environmental, institutional and cultural sustainability.

A Novel Hybrid Evaluation Method for Transfer Efficiency Assessment between Rail Transit and Public Bicycles

“…The concept of entropy is derived from the principle of thermodynamics handling energy, and later introduced information theory by Shannon [28]. The EM method uses the value of information entropy to calculate the weights of evaluation indices [29]. It is worth noting that the difference coefficient is the key in the process of calculating the weights, because the difference coefficient and the weight of the index are proportional.…”

“…The AHP with three scales (-1, 1) is first used to obtain the subjective weights of the evaluation indices, and then the objective weights of the evaluation indices determined by the EM are applied to revise the result calculated by the AHP with three scales (-1, 1). Finally, according to [29], Equation 18 is applied to calculate the weights of the evaluation indices as follows.…”

Multi-Criteria Decision Making for Identification of Unbalanced Bidding

“…In the process of assessing the bidder's unit prices, the greater the difference between engineer's estimate price and the unit price from the bidder's offer, the greater the likelihood that the line item will be unbalanced, and information entropy may just show this difference. Information entropy is defined as (Lan, Yang, & Huang, 2017;Shemshadi, Shirazi, Toreihi, & Tarokh, 2011;Wu, Duan, Zuo, Zhao, & Tang, 2017)…”

Safety Assessment Model for Dangerous Goods Transport by Air Carrier

“…The earliest application of the entropy weighting method in conjunction with AHP was a study of ship investment decision making [29]. Nowadays, the AHP-entropy method has been known and used in the assessment of various industries, including the safety assessment of food-waste feed [27], the safety evaluation of smart grids [30], the risk assessment in banks [31], and in community sustainability assessments [32]. These studies demonstrated that this integrated method is scientific and effective.…”