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Issue title: Fuzzy logic systems for transportation engineering
Guest editors: Dalin Zhang, Sabah Mohammed and Alessandro Calvi
Article type: Research Article
Authors: Wu, Xiaopinga; 1 | Wu, Pengb; 1 | Guo, Zihanc; *
Affiliations: [a] The Faculty of Geography and Resource Sciences, Sichuan Normal University, Chengdu, China | [b] The School of Marxism Studies, Southwest University, Chongqing, China | [c] Graduate School, Kyonggi University, Suwon, South Korea
Correspondence: [*] Corresponding author. Zihan Guo, Graduate School, Kyonggi University, Suwon, South Korea. E-mail: [email protected].
Note: [1] Xiaoping Wu and Peng Wu contribute equally to this work and co-first authors.
Abstract: Based on the precise logical analysis method, the paper constructs a comprehensive evaluation model of transportation superiority in terms of transportation network density, the influence of transportation arteries, and regional location-specific advantages, then select Southwest China as a case to evaluate the transportation superiority and analyze the correlations of transportation with regional economic development and population distribution. The results show that there is a positive correlation between regional transportation superiority and regional population density as well as GDP per capita in the spatial distribution. Finally, by using the fuzzy logic analysis method, we propose countermeasures and suggestions for the impact of transportation integration on regional economic development and population distribution.
Keywords: Logical analysis, transportation superiority, regional economy, demographic layout
DOI: 10.3233/JIFS-189967
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4813-4823, 2021
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