Yuming Zhu

A strategic classification support system for brownfield redevelopment

Brownfield redevelopment (BR) is an ongoing issue for governments, communities, and consultants around the world. It is also an increasingly popular research topic in several academic fields. Strategic decision support that is now available for BR is surveyed and assessed. Then a dominance-based rough-set approach is developed and used to classify cities facing BR issues according to the level of two characteristics, BR effectiveness and BR future needs. The data for the classification are based on the widely available results of a survey of US cities. The unique features of the method are its reduced requirement for preference information, its ability to handle missing information effectively, and the easily understood linguistic decision rules that it generates, based on a training classification provided by experts. The resulting classification should be a valuable aid to cities and governments as they plan their BR projects and budgets.

Grey relational evaluation of innovation competency in an aviation industry cluster

Purpose – The purpose of this paper is to propose an evaluation model for evaluating the innovation competency in the Yanliang Aviation Industry Park, which is a typical example of an aviation industry cluster.Design/methodology/approach – A subjective weighting method based on the order relation is used to determine the index weights, which are utilized in grey incidence analysis to measure the innovation competency of the aviation industry cluster.Findings – The application of the index methodology to the Yanliang Aviation Industry Park demonstrates that the industry cluster possesses a strong innovation competency, as well as the feasibility and practicability of employing this approach.Practical implications – The method introduced in the paper can be used to solve practical problems. Moreover, it provides potential support for the development of the aviation industry in the future.Originality/value – In this paper, the high technology aviation industry, which now plays a strategic industrial role in ...

Establishment and optimization of an evaluation index system for brownfield redevelopment projects

Brownfield redevelopment has recently become the focus of attention of governments, communities, environmental advocates, scientists, and researchers around the world. The purpose of this study is to provide a framework for establishing and optimizing an evaluation index for brownfield redevelopment projects (BRPs). This framework involves three steps: the initial design, testing and optimization, and verification. With the help of two standard statistical software packages, the reliability and validity of the initialized index system are established, and then the optimization of the initial index system is carried out by means of Factor Analysis. The effectiveness of the optimization of the index system is verified through Structural Equation Modeling. Furthermore, an illustration example is used to show how to apply the established index system in the real world. The paper develops an evaluation index system for brownfield redevelopment projects.The construction is based on an empirical study in China.Main procedure includes initial design, optimization, and verification.An illustration example is used to show the effectiveness and efficiency.

Establishment of the index system for evaluation of brownfield redevelopment projects in China

An index system for the evaluation of the Brownfield Redevelopment Projects in China is proposed. This index system involves the four dimensions consisting of Social and Economic, Financial and Accounting, Environmental and Health, and Prospective Value. Each dimension includes some criteria. With the help of software SPSS, the reliability and satisfaction of the proposed index system are proven by calculating the value of Cronbachs alpha and doing a one sample t-test. Additionally, the driving forces of each dimension are identified by using multiple regression analysis.

Life span risk management in brownfield redevelopment

A framework for project risk management is proposed for employment with brownfield redevelopment projects (BRPs). This structure involves the three dimensions consisting of time, logic and knowledge. The time dimension is concerned with the initiation, planning, implementation and closure phases of the life span of a BRP. The logic dimension considers the processes of risk management comprised of risk identification, assessment and treatment, while the knowledge dimension furnishes tools and techniques which can be used in risk management of a BRP. By using this framework, risk management is integrated into the overall BRP management structure.

The identification of risk factors in brownfield redevelopment: An empirical study

A framework for Identification of Risk Factors in Brownfield Redevelopment is proposed from the perspective of an empirical study. Firstly, the selection of the primary set of risk factors of brownfield redevelopment is put forth by the literature research and group decision methods. Then reliability and validity of the primary set of risk factors of brownfield redevelopment is approved by calculating the value of Cronbachs alpha and conducting the KMO (Kaiser-Meyer-Olkin) and Bartlett ball test. Finally, the main risk factors of brownfield redevelopment are identified by carrying out factor analysis. The identified risk factors facilitate risk assessment and control.

Research on driving-forces of industrial cluster formation from the perspective of population competition and interdependence

Population Ecology provides a new way of thinking on the theory of industrial clusters. By comparing ecosystems and industrial clusters, the ecological property and behavioral characteristics of industrial clusters are revealed. The generally formative process of industrial clustering is described from the perspectives of population competition and interdependence, and the driving-forces of industrial clustering formation are analyzed and identified in terms of internal conditions and the external environment on the basis of an expansive model of the Logistic equation. A case of Sinos Valley of Brazil is given to show the process of the formation of industrial cluster from the Perspective of Population Competition and Interdependence.

Public participation based interactive decision-making model for brownfield redevelopment projects (BRPs)

The BRPs require huge investment and have the characteristic of high public welfare. The lack of public participation in decision-making can easily cause the group events. To achieve the maximum public interest, this paper will introduce public participation into BRPs decision-making process. Using intuitionistic fuzzy evaluation, similarity degree method, cluster analysis establish the BRPs interactive decision-making model based on public participation. Finally, a numerical case is given to illustrate the feasibility of the model. The establishment of BRPs decision-making model with public participation has not been published in China. The paper can provide a certain theoretical guiding significance for public participation in BRPs.

The application of grey-incidence decision making in the analysis of brownfield redevelopment project

Grey-incidence decision making approach is proposed to deal with the implementation of brownfield redevelopment project in the remediated sites. The inspiration behind this approach is valuable, because it is suitable to use regardless of the sample size. Whether it is big or small, or whether the data fulfills a particular conventional distribution or not. Above and beyond that, what makes it convenient to use is, the amount of computation embraced is bite-sized and can be carried out classically without the difficulty between quantitative and qualitative conclusions. Thus, the government wants to clean up a brownfield sites and after remediating the contaminated sites the government has to select the best development proposal from three planning options, such as: Industrial park planning, Recreation center planning, and Real estate planning. To do so, the attributed weights are calculated step-by-step with the help of the software so called Grey System Theory Modeling Software 3.0 (GTMS 3.0). In this way the absolute degree of grey incidence is generated from the classic reference sequence and effect vector. Following this, quasi-classic effect vector and quasi-classic circumstance are obtained. Finally, the result leads us to make a decision in terms of producing the most ideal choice of development planning among the available alternatives of the development planning.

Universities-industry collaboration (UIC) partner selection based on Grey Fuzzy Evaluation

A comprehensive evaluation model of enterprises partner selection on UIC is established by use of Analytical hierarchical process (AHP) and Grey Fuzzy Evaluation Method. The evaluation index system is built through literature review and expert interview, and then the weight of each index is determined by AHP and the reasonable conversion from qualitative to quantitative is acquired through the application of Grey Fuzzy Comprehensive Assessment Method, which enable to make the evaluation model scientific and reasonable. Additionally, an example of UIC partner selections is used to test the effective and applicable of proposed comprehensive evaluation model of UIC partner selection.