一种神经决策方法,以优先考虑可持续智能城市的循环经济标准
Gang Kou1, Hasan Dinçer2, Serhat Yüksel2,3
1School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu, 611130, China.
Heliyon
|December 3, 2024
概括
资源效率是可持续智慧城市的关键. 这项研究优先考虑了可持续建筑和技术采用等战略,以尽量减少废物和能源使用,确保城市可持续性,尽管成本高昂.
科学领域:
- 城市规划与可持续发展
- 环境科学 环境科学
- 决策科学 决策科学 决策科学
背景情况:
- 有效的废物管理和减少污染对于可持续城市至关重要.
- 高昂的实施成本给可持续城市发展带来了预算上的挑战.
- 需要基于循环经济标准对智能城市进行优先分析.
研究的目的:
- 确定加强可持续智能城市的关键因素.
- 开发和应用一种新的决策模型来进行优先级分析.
- 为了对城市可持续性进行智能投资选择进行排名.
主要方法:
- 具有量子球体模糊集 (QASH) 的决策试验和评估实验室 (DEMATEL).
- 按理想解决方案相似度优先订单技术 (TOPSIS) 用于对投资选择进行排名.
- 使用扩展VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) 和敏感性分析进行比较分析.
主要成果:
- 资源效率被确定为可持续城市的最关键因素.
- 建设可持续建筑是增强智慧城市的最佳策略.
- 通过技术适应来最大限度地减少水和能源消耗至关重要.
结论:
- 一种新的"神经决策"方法为可持续城市提供了可靠的优先战略.
- 整合新技术和促进有效利用资源是必不可少的.
- 公众宣传活动和培训对于向可持续发展的行为改变至关重要.
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