Research on the fuzzy evaluation of the livability of old urban communities using an analytic hierarchy process – a case study of Nanjing city in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaoxiao Wang ◽  
Ruiting Shi ◽  
Ting Wang

Purpose Due to the different actual construction conditions in different cities, the requirements for community livability may also differ due to different geographical locations and urban construction priorities. The research system in this paper can be applied to study similar old communities in old urban areas. The indicator system would need to be adjusted in different places, based on specific construction situations and higher planning requirements. This process would provide valuable insights for effective construction projects that support the livability of the old communities. Design/methodology/approach Based on sustainable and people-oriented development principles, this study considered the development of old urban communities during today’s rapid urban renewal and development. Using previous literature and related research experience, this study established an evaluation indicator system to assess the livability of old urban communities. Based on the local resident experience and satisfaction, the study investigated current weaknesses in the construction of livable old urban communities and developed corresponding recommendations for reform based on these. The goal was to provide guidance and recommendations for renewing old communities in during urban development and further promote the sustainable development of the city. Findings Based on the people-oriented principle and focusing on old urban communities as the research object, this study constructed an evaluation indicator system to evaluate the livability of urban old communities. The goal was to identify the weaknesses in the construction of old urban communities, with a focus on livability. Using the Bei’anmen community in Nanjing as a case study, the AHP method and fuzzy comprehensive evaluation method were applied to evaluate the overall target level and specific indicators, with the goal of assessing the level of livability in the Bei’anmen community.[AQ2] The results show that the livability of the Bei’anmen community is “very poor,” with significant room for improvements in community livability. This study also proposed corresponding measures for improving problems related to livability in the old urban community. Establishing the indicator system may help evaluate the livability of similar old communities in Nanjing and the same types of old communities in other cities. Understanding the overall livability of communities under construction can help identify weaknesses in other own construction approaches and may inform appropriate steps to improve the sustainable construction of the community in the wave of continuous urban renewal. This may realize the further development of livability in the community. Originality/value The community is an integral part of the city and strengthening the community’s civilization can support a harmonious and stable social environment. In constructing livable communities, improving the community civilization can promote social progress and civilization, promote social harmony and support the harmonious and sustainable development of communities. To strengthen the construction of a livable community, it is important to apply a residential perspective and provide a good platform for managing community participation and interaction. This may include organizing community-level cultural activities and strengthening communication between residents to increase the residents’ affection for the community. This would enhance the residents’ sense of belonging, forming a harmonious and stable atmosphere of community life, mutual help and mutual tolerance.

2020 ◽  
Vol 27 (8) ◽  
pp. 1763-1794
Author(s):  
Zhao Xu ◽  
Xiang Wang ◽  
Ya Xiao ◽  
Jingfeng Yuan

PurposeThere is often a lack of accurate performance evaluation in Public–Private Partnership (PPP) projects. It is a challenging issue to effectively use Building Information Modeling (BIM) for PPP project performance evaluation. The objective of this study is to develop a PPP project performance evaluation model based on Industry Foundation Classes (IFC) and an enhanced matter-element method to more precisely evaluate PPP project performance.Design/methodology/approachThe performance evaluation of PPP projects in the construction and operation period was explored. The PPP project performance evaluation indicator system was first established based on a literature review and PPP project practice. Then, the evaluation indicator information was expressed through IFC mapping and extension. After that, an IFC-based PPP project performance evaluation model was developed, and a case study was provided to validate the use of the proposed performance evaluation model.FindingsThe results of the case study show that the proposed approach can accurately and efficiently evaluate PPP projects, and it could favorably contribute to performance evaluation in PPP projects.Research limitations/implicationsThis study only concerns the performance evaluation of one type of PPP project. Further research is required to study different types of PPP projects; the model needs to be more efficient and intelligent.Originality/valueThe performance evaluation of PPP projects utilizing IFC extension and the enhanced matter-element method provides guidance for the government and private parties to accurately and efficiently evaluate PPP project performance.


2020 ◽  
Vol 12 (2) ◽  
pp. 617
Author(s):  
Yang Fu ◽  
Weihong Ma

(1) Background: There is a global trend to stimulate sustainable urbanization by updating the hardware of the built environment with green technologies. However, simply greening the city hardware does not ensure a sustainable urban system. In reality, urban communities, as cells of the city, play a crucial role in the sustainable development of the entire city. (2) Methods: This paper conducts a case study by investigating a community in Taipei with semi-structured interviews and other first-hand data. It examines how self-organization, voluntary groups, and the public participation of community members has successfully institutionalized a governing system for the sustainable development of communities; (3) Results: This paper identifies the major actors and mechanisms underpinning the sustainable development of urban communities with a case study in Taipei. The establishment of this more cost-effective form of community governance will possibly provide more benefits to community members; (4) Conclusions: This case study will shed light on the sustainable development of urban community in many other cities, offering possible pathways and epitome for self-organization of urban community in the coming era. Its cost-effective institutional design contributes greatly to sustainable community development, partly solving the current failure to promote urban sustainability.


Author(s):  
Dan Xu ◽  
Jilong Liu ◽  
Dong Liu ◽  
Qiang Fu ◽  
Mo Li ◽  
...  

Abstract Resilience is an important indicator for measuring the regional sustainable development capacity. The construction of a suitable evaluation indicator system is the premise of evaluating regional sustainable development. In this study, taking the Jiansanjiang Administration of Heilongjiang Province in China as an example, a preliminary selection library of the evaluation indicator system for the resilience of a regional agricultural soil-water resource composite system covering 7 subsystems and 59 indicators was established. Selection criteria such as the Dale indicator criterion, subjective and objective combination weighting and principal component analysis were introduced to construct an optimization model for the resilience evaluation indicator system for the ASWRS. First, 14 indicators that were incomplete or incapable were removed. Then, the Dale indicator selection criteria were used to ensure that 14 indicators were selected. The binary fuzzy comparison method and criteria importance through interference correlation method were used to calculate the combination weight. Finally, an indicator system optimization model was established. The indicator system was optimized from 59 to 35 indicators, and the completeness of the indicator system reached 85.75%. The proposed method had obvious advantages in terms of indicator identification and elimination, and it may truly achieve the goal of indicator optimization.


2017 ◽  
Vol 11 (4) ◽  
pp. 595-608 ◽  
Author(s):  
Dongxiao Niu ◽  
Zongyun Song ◽  
Meng Wang ◽  
Xinli Xiao

Purpose The aim of this paper is to review the current situation and existing problem, establish investment benefits evaluation indicator system and introduce synthetic approach degree containing Hamming approach degree, Euclid approach degree and gray correlation degree to improve the shortage of Euclidean distance in traditional TOPSIS method, and the evaluation result is strengthened by multiplication rule. This paper aims to solve the distribution network investment decision-making problem and construct a comprehensive distribution network investment benefit indicator system, which is more suitable for China distribution network characteristics. Design/methodology/approach This study develops improved TOPSIS methods for decision maker in the power distribution network market and uses an example to prove its effectiveness and superiority in practice which can realize the combination of theory and practice. Findings The research shows that the investment evaluation indicator system built in present paper covers more investment benefit influencing factors (such as qualified rate of trunk cross-section, pass rate of N-1 lines), and the evaluation result obtained by improved TOPSIS method is more efficient and persuasive. Originality/value The study can help investors evaluate distribution network project more efficient, and make contribution to the choice of distribution cases with similar investment benefits.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shixin Xie ◽  
Xu Wang ◽  
Biyu Yang ◽  
Longxiao Li ◽  
Jinfeng Yu

PurposeAs the number of joined service providers (SPs) in knowledge-intensive crowdsourcing (KI-C) continues to rise, there is an information overload problem for KI-C platforms and consumers to identify qualified SPs to complete tasks. To this end, this paper aims to propose a quality of service (QoS) evaluation framework for SPs in KI-C to effectively and comprehensively characterize the QoS of SPs, which can aid the efficient selection of qualified SPs.Design/methodology/approachBy literature summary and discussion with the expert team, a QoS evaluation indicator system for SPs in KI-C based on the SERVQUAL model is constructed. In addition, the Decision Making Trial and Evaluation Laboratory (DEMATEL) method is used to obtain evaluation indicators' weights. The SPs are evaluated and graded by the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and rank–sum ratio (RSR), respectively.FindingsA QoS evaluation indicator system for SPs in KI-C incorporating 13 indicators based on SERVQUAL has been constructed, and a hybrid methodology combining DEMATEL, TOPSIS and RSR is applied to quantify and visualize the QoS of SPs.Originality/valueThe QoS evaluation framework for SPs in KI-C proposed in this paper can quantify and visualize the QoS of SPs, which can help the crowdsourcing platform to realize differentiated management for SPs and assist SPs to improve their shortcomings in a targeted manner. And this is the first paper to evaluate SPs in KI-C from the prospect of QoS.


Author(s):  
FU Lin ◽  
YANG Xiu ◽  
ZHANG Dongyu ◽  
CAO Ying

In early 2017, China officially implemented the pilot program of the construction of climate-resilient cities in 28 regions, and these pilots have taken a series of initiatives to adapt to climate change. Based on the research and practice on climate change adaptation worldwide, this paper constructs an evaluation indicator system for climate-resilient cities with six primary indicators and 15–21 secondary indicators to assess the progress of the pilot program in a comprehensive manner. The study shows that the consciousness of climate adaptation has been strengthened, their adaptive capacity has been improved, and their climate change monitoring capacity and the basic adaptive capacity have been enhanced. Meanwhile, each pilot city has carried out unique system and mechanism innovation and international cooperation and exchange activities, but the progress is uneven, and there is still room for improvement in the overall adaptive capacity. It is recommended that a system for evaluating the progress of the climate-resilient city pilots be established as soon as possible, and that the review of the adaptation actions and highlights of the city pilots be strengthened, so as to raise the political status of the pilot areas and strengthen their consciousness of climate change adaptation.


2020 ◽  
Vol 39 (3) ◽  
pp. 4703-4721
Author(s):  
Qu Min ◽  
Chen Yu ◽  
Xiong Xing-Fu ◽  
Wu Jiang

A comprehensive evaluation indicator system is the basis of car sharing systems (CSS) evaluation. The purpose of this study is to introduce the principles and methods of indicator selection for CSS, and to identify indicators for evaluating car sharing systems due to the reason that the importance of indicators can never be overestimated in CSS evaluation. A framework to identify indicators for evaluating CSS is proposed with four steps. First of all, the structure for indicator selection is established with application of AHP method. Secondly, adequacy check and redundancy check are carried out to ensure the structure is adequate and redundant. Thirdly, underlying individual indicators are proposed according to questionnaires. Fourthly, to ensure the necessity, identification, and feasibility of indicators, we conduct N-I-F check. We carry out a case study of CSS evaluation indicators to validate the proposed framework from four dimensions: economic, environmental, systematic, and social. The proposed framework is quantitative and it is helpful in CSS evaluation to identify proper indicators and find out the best CSS option.


2021 ◽  
Vol 13 (4) ◽  
pp. 1643
Author(s):  
Biao Li ◽  
Yunting Feng ◽  
Xiqiang Xia ◽  
Mengjie Feng

Along with industry upgrading and urbanization, the agricultural industry in China has been experiencing a stage of rapid development, on the bright side. On the other side, ecological environment deterioration and resource scarcity have become prevalent. Called by the current situation, circular agriculture arises as a direction for the industry to achieve sustainable development. This study develops an evaluation indicator system for circular agriculture using an entropy method, and evaluates factors that could drive the Chinese agricultural industry to achieve better performance. We employ the method using provincial data collected from the province of Henan, in which around 10% of the total grain in China is produced. It was found that agricultural technology and water resources per capita are positively related to circular performance in agriculture. In contrast, urbanization and arable land per capita are negatively related to circular performance. This article provides support to the government in policy-making related to the improvement of circular agricultural performance.


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