Asset Details
Do you wish to reserve the book?
The redevelopment mode selection framework for Third Front Brownfields in China
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
The redevelopment mode selection framework for Third Front Brownfields in China
Do you wish to request the book?
The redevelopment mode selection framework for Third Front Brownfields in China
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
The redevelopment mode selection framework for Third Front Brownfields in China
2023
Overview
Unlike most brownfields located in the urban center, there is a kind of special brownfields produced in the Third Front Construction (TFC) period of China, and in turn they are named the Third Front Brownfield (TFB) in this paper. In addition to commercial value, other values should also be considered when TFBs are redeveloped, which makes they may need a specific protective reuse way and their revitalization process is relatively slower. Therefore, it is of great significance to study the redevelopment mode of TFBs. Accordingly, this paper presents a redevelopment mode selection framework to support stakeholders’ investment decision-making and facilitate the reuse of TFBs. First, a previous case base including two sets is developed to conduct experience mining. In specific, an attribute set and a TFB redevelopment mode set of previous successful cases are established through literatures and expert interviews. Second, the weights of abovementioned attributes are determined by using the G1 method. Third, a concept of matching rate is defined based on the Attribute Similarity Model (ASM) to search the similarity between the new TFB and previous cases so that stakeholders can get advice on the redevelopment of the new TFB. A case study is conducted to show the effectiveness of the proposed framework and some policy suggestions are made according to the study process.
Publisher
Springer Berlin Heidelberg
