Sustainability transition evaluation of urban transportation using fuzzy logic method-the case of Jiangsu Province

Tao Lv*, Yan Wang, Xu Deng, Hui Zhan, Martina Siskova

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

City sprawl and rapid increase of petroleum-fueled passenger vehicles has attracted a lot of attention due to concerns of resource energy scarcity and associated environmental damage. This paper uses the transition theory of socio-technical system from the multi-level perspective to analyze the internal mechanism of urban transportation's transition process and find the most sustainable measures to promote transition. A set of evaluation indicators are constructed for the urban transportation sustainability transition from macro landscape, meso regime and micro niche. Then these indicators are applied to 13 cities in Jiangsu Province and calculate scores of each using triangular fuzzy logic method. The results show that: most cities are in the 'medium' stage of transportation transition, while only 4 cities in the 'relatively poor' stage. Development of micro niche plays vital role in promoting the transition of urban transportation towards sustainability. Adequate infrastructure support and detailed implementation policies should be developed to protect the steady growth of innovation niches.

Original languageEnglish
Pages (from-to)3883-3898
Number of pages16
JournalJournal of Intelligent and Fuzzy Systems
Volume39
Issue number3
DOIs
Publication statusPublished - 2020

Keywords

  • fuzzy logic
  • the multi-level perspective
  • transition effect
  • Urban transportation

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