探索个别住宅垃圾分类的城市场景,使用基于空间显式代理的模型
Jonathan Cohen1, Jorge Gil1, Leonardo Rosado1
1Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden.
Waste management (New York, N.Y.)
|December 19, 2024
概括
家庭垃圾分类的成功取决于居民的行为和环境因素. 一个基于代理的模型 (ABM) 显示,垃圾箱放置显著影响分类准确性,改善城市废物管理策略.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 计算社会科学 计算社会科学
背景情况:
- 由于不同的废物流,家庭废物管理面临着挑战.
- 源废物分类是一个关键的策略,但它的有效性取决于居民的参与和行为.
- 现有的模型往往忽视环境因素,主要关注废物分类行为的心理驱动因素.
研究的目的:
- 开发和应用基于空间显式代理模型 (ABM),集成计划行为理论 (TPB),以模拟住宅废物分类.
- 弥合个人废物分类行为和可量化的废物管理结果之间的差距.
- 探索城市环境因素对废物分类性能的影响.
主要方法:
- 开发了一个基于代理的模型 (ABM),其中代理人代表个人居民,并将TPB纳入行为架构.
- 该模型应用于模拟两个城市地区的废物分类,人口密度各不相同.
- 这项研究分析了环境因素,特别是垃圾桶放置和附近环境对分类行为的影响.
主要成果:
- 垃圾桶放置的变化被证明会显著影响居民的分类行为.
- 发现,靠近回收箱的位置会影响剩余废物的正确分类.
- 该模型成功地将个体代理人的行为与整体废物分类指标联系起来.
结论:
- 将城市环境因素纳入废物分类模型对于理解和改进废物管理策略至关重要.
- 基于代理的建模提供了一个强大的工具,用于探索城市设计和废物分类中的居民行为之间的复杂相互作用.
- 优化垃圾桶的空间布局可以提高家庭垃圾分类性能,并有助于环境可持续性.
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