A methodology for managing public spaces to increase access to essential goods and services by vulnerable populations during the COVID-19 pandemic

IF 3.2 Q2 MANAGEMENT
Andrés Regal Ludowieg, Claudio Ortega, A. Bronfman, Michelle Rodriguez Serra, Mario Chong
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引用次数: 7

Abstract

PurposeThe purpose of this paper is to present a spatial decision support system (SDSS) to be used by the local authorities of a city in the planning and response phase of a disaster. The SDSS focuses on the management of public spaces as a resource to increase a vulnerable population’s accessibility to essential goods and services. Using a web-based platform, the SDSS would support data-driven decisions, especially for cases such as the COVID-19 pandemic which requires special care in quarantine situations (which imply walking access instead of by other means of transport).Design/methodology/approachThis paper proposes a methodology to create a web-SDSS to manage public spaces in the planning and response phase of a disaster to increase the access to essential goods and services. Using a regular polygon grid, a city is partitioned into spatial units that aggregate spatial data from open and proprietary sources. The polygon grid is then used to compute accessibility, vulnerability and population density indicators using spatial analysis. Finally, a facility location problem is formulated and solved to provide decision-makers with an adaptive selection of public spaces given their indicators of choice.FindingsThe design and implementation of the methodology resulted in a granular representation of the city of Lima, Peru, in terms of population density, accessibility and vulnerability. Using these indicators, the SDSS was deployed as a web application that allowed decision-makers to explore different solutions to a facility location model within their districts, as well as visualizing the indicators computed for the hexagons that covered the district’s area. By performing tests with different local authorities, improvements were suggested to support a more general set of decisions and the key indicators to use in the SDSS were determined.Originality/valueThis paper, following the literature gap, is the first of its kind that presents an SDSS focused on increasing access to essential goods and services using public spaces and has had a successful response from local authorities with different backgrounds regarding the integration into their decision-making process.
新冠肺炎大流行期间管理公共场所以增加弱势人群获得基本商品和服务的方法
本文的目的是提出一个空间决策支持系统(SDSS),供城市地方当局在灾害的规划和响应阶段使用。SDSS侧重于公共空间的管理,将其作为一种资源,以增加弱势群体获得基本商品和服务的机会。使用基于网络的平台,SDSS将支持数据驱动的决策,特别是对于COVID-19大流行等需要在隔离情况下特别照顾的病例(这意味着步行而不是其他交通方式)。设计/方法/方法本文提出了一种创建web-SDSS的方法,用于在灾害规划和响应阶段管理公共空间,以增加对基本商品和服务的获取。使用规则的多边形网格,将城市划分为空间单元,这些空间单元聚合了来自开放和专有来源的空间数据。然后使用多边形网格计算空间分析的可达性、脆弱性和人口密度指标。最后,提出并解决了一个设施选址问题,为决策者提供了一个具有选择指标的公共空间的适应性选择。研究结果该方法的设计和实施使秘鲁利马市在人口密度、可及性和脆弱性方面得到了细致的体现。利用这些指标,SDSS被部署为一个网络应用程序,允许决策者探索其地区内设施位置模型的不同解决方案,并将覆盖地区区域的六边形计算的指标可视化。通过与不同的地方当局进行测试,提出了改进建议,以支持一套更普遍的决定,并确定了可持续发展战略中使用的关键指标。原创性/价值本文在填补文献空白的基础上,首次提出了一种专注于增加使用公共空间获得基本商品和服务的SDSS,并得到了不同背景的地方当局在将其纳入决策过程方面的成功回应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.40
自引率
20.00%
发文量
20
期刊介绍: The Journal of Humanitarian Logistics and Supply Chain Management (JHLSCM) is targeted at academics and practitioners in humanitarian public and private sector organizations working on all aspects of humanitarian logistics and supply chain management. The journal promotes the exchange of knowledge, experience and new ideas between researchers and practitioners and encourages a multi-disciplinary and cross-functional approach to the resolution of problems and exploitations of opportunities within humanitarian supply chains. Contributions are encouraged from diverse disciplines (logistics, operations management, process engineering, health care, geography, management science, information technology, ethics, corporate social responsibility, disaster management, development aid, public policy) but need to have a logistics and/or supply chain focus. JHLSCM publishes state of the art research, utilizing both quantitative and qualitative approaches, in the field of humanitarian and development aid logistics and supply chain management.
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