有选择地关闭巴伐利亚州的回收中心:改革废物管理政策,缩小差距

IF 1.6 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Networks Pub Date : 2024-04-15 DOI:10.1002/net.22221
Malena Schmidt, Bismark Singh
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引用次数: 0

摘要

回收中心对收集到的垃圾进行分类和处理,有利于保护环境,但在运行过程中排放的废气和污染物也会对气候造成破坏性影响。因此,各国政府正在关闭此类中心,以实现气候和碳中和目标。然而,关闭这些中心可能会导致人们被迫到更远的地方去收集垃圾,并对剩余的开放式中心造成不公平的负担,从而降低回收利用的参与度。利用设施位置优化模型和德国巴伐利亚州的流动性调查数据,我们展示了有选择地关闭这些中心如何仍能实现高水平的回收利用。我们的分析确保,即使巧妙地关闭 20% 的设施,居民前往指定回收中心的中位距离也仅增加 450 米。此外,我们还发现巴伐利亚州城乡地区的回收模式存在差异,这既体现在回收动机方面,也体现在设施位置方面。我们提倡在农村地区保留回收中心的政策,将 75% 的开放设施保留在农村地区,同时有选择性地关闭城市地区的设施,以消除这些地区差异。回收运动的成功与否取决于公众对关闭此类设施的看法,也取决于其是否方便使用。随着政策制定者逐步实施进一步的关闭措施,这种以数据为导向的策略可以帮助提高对公众的透明度,从而提高公众参与此类回收计划的意愿。
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Selectively closing recycling centers in Bavaria: Reforming waste‐management policy to reduce disparity
Recycling centers sort and process collected waste in the interest of the environment, but also lead to damaging climate effects via released emissions and pollutants in their operation. Consequently, governments are closing such centers to fulfill climate and carbon neutrality goals. However, such closures risk populations being forced to travel further to facilities that collect waste, and can cause an unfair burden on the remaining open centers, thereby reducing participation in recycling. Using a facility location optimization model and mobility survey data within the state of Bavaria in Germany, we show how selective closures of these centers can still lead to high levels of recycling access. Our analysis ensures that even when 20% of facilities are closed smartly, the median travel distance by residents to their assigned recycling center increases by only 450 m. Additionally, we find Bavaria suffers from disparity in recycling patterns in rural and urban regions, both in terms of motivation to recycle and the locations of the facilities. We promote a policy that favors retention of recycling centers in rural regions by reserving 75% of open facilities to be in rural areas, while selectively closing facilities in urban regions, to remove these regional differences. Success of recycling campaigns depends on public perception of closures of such facilities and also on their ease of access. As policymakers gradually implement further closures, such data‐driven strategies can assist in being more transparent to the public thereby increasing the willingness to participate in such recycling programs.
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来源期刊
Networks
Networks 工程技术-计算机:硬件
CiteScore
4.40
自引率
9.50%
发文量
46
审稿时长
12 months
期刊介绍: Network problems are pervasive in our modern technological society, as witnessed by our reliance on physical networks that provide power, communication, and transportation. As well, a number of processes can be modeled using logical networks, as in the scheduling of interdependent tasks, the dating of archaeological artifacts, or the compilation of subroutines comprising a large computer program. Networks provide a common framework for posing and studying problems that often have wider applicability than their originating context. The goal of this journal is to provide a central forum for the distribution of timely information about network problems, their design and mathematical analysis, as well as efficient algorithms for carrying out optimization on networks. The nonstandard modeling of diverse processes using networks and network concepts is also of interest. Consequently, the disciplines that are useful in studying networks are varied, including applied mathematics, operations research, computer science, discrete mathematics, and economics. Networks publishes material on the analytic modeling of problems using networks, the mathematical analysis of network problems, the design of computationally efficient network algorithms, and innovative case studies of successful network applications. We do not typically publish works that fall in the realm of pure graph theory (without significant algorithmic and modeling contributions) or papers that deal with engineering aspects of network design. Since the audience for this journal is then necessarily broad, articles that impact multiple application areas or that creatively use new or existing methodologies are especially appropriate. We seek to publish original, well-written research papers that make a substantive contribution to the knowledge base. In addition, tutorial and survey articles are welcomed. All manuscripts are carefully refereed.
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