Abstract

Reuse of old industrial areas strongly impacts urban renewal and social development. However, it is limited by significant pollution and damage of buildings. In the decision-making stage, it is necessary to conduct a reasonable vulnerability analysis of old industrial areas. This study focuses on establishing a reasonable and effective vulnerability assessment model to be used in actual work. First, based on literature analysis, a normal cloud model was employed to establish the assessment process and model. Second, foundation damage, structural bearing capacity, and other building safety indicators, as well as environmental safety, were included in the vulnerability assessment indicator system. Thus, through indicator selection and optimization, the vulnerability assessment indicators and their quantitative methods were determined and parameter features of the cloud model were programmed by the forward cloud generator. Finally, the Shougang Industrial Area, to be reused as the Winter Olympic Park, was selected as the case study. The vulnerability analysis results show that the vulnerability assessment method strongly agrees with the actual status and that the assessment results provide a basis for improving the vulnerability of old industrial areas for reuse.

Highlights

  • The primary research for vulnerabilities includes the following: quantitative assessment of ecological and environmental vulnerability [3]; urban vulnerability evolution [4]; social vulnerability assessment [5], and changed rules of urbanization vulnerability [6]

  • Luan et al used the Bayesian spatial factor analysis model to evaluate the environmental health of adjacent restaurants, but the fuzziness of the indicators led to deviations between the assessed and actual values [10]. e randomness of indicators is not solved by set pair analysis, gray correlation, or other fuzzy set theories, and there is a loss of fuzziness among indicators

  • Disposal of old industrial areas has become a serious problem in urban renewal while reuse has already become an important solution

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Summary

Introduction

The primary research for vulnerabilities includes the following: quantitative assessment of ecological and environmental vulnerability [3]; urban vulnerability evolution [4]; social vulnerability assessment [5], and changed rules of urbanization vulnerability [6]. For the gray correlation model, the fuzzy comprehensive method cannot overcome index randomness [11]. Multi-method integrated assessment models have emerged in many studies such as the combination of factor analysis and cluster analysis methods [14], TOPSIS and fuzzy set theory [15], and the combination of qualitative and quantitative methods [16]. These integrated models cannot overcome their original flaws for each integrated model

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