Optimal rain gauge network to reduce rainfall impacts on urban mobility - a spatial sensitivity analysis

Author(s)

Simoyama, Felipe de Oliveira ; Tomas, Livia Rodrigues ; Pinto, Felipe Matheus ; Salles-Neto, Luiz Leduino ; Santos, Leonardo Bacelar Lima

• Document type: Journal article
• Source: INDUSTRIAL MANAGEMENT & DATA SYSTEMS; v. 122, n. 10, p. 20-pg., 2022-07-18.

Abstract

Purpose A sustainable transportation system should represent a win-win situation: minimizing transport's impact on the environment and reducing natural disasters' effects on transportation. A well-distributed set of rain gauges is crucial for monitoring services in smart cities. However, those services should consider the uncertainties about the registers of rainfall impacts. In this paper, the authors present a case study of optimal rain gauge location based on an actual database of rainfall events with impacts on urban mobility in the city of Sao Paulo (Brazil). Design/methodology/approach This paper presents a maximal covering location formulation and proposes a robustness analysis considering spatial location perturbations. Findings In this case study, the robustness of the objective function is above 99.99%. The robustness for the number of covered demand points is 88.93%, and the frequency associated with every candidate is between 11.71% and 69.49%. Originality/value Incorporating spatial uncertainties on coverage problems is essential to provide stakeholders more realistic supporting tools and to draw different possible scenarios. (AU)

• FAPESP's process: 21/03269-7 - 3D Structure determination of proteins and nanostructured materials with uncertain data via optimization
• Grantee: Luiz Leduíno de Salles Neto
• Support Opportunities: Regular Research Grants
• FAPESP's process: 16/01860-1 - Cutting, packing, lot-sizing, scheduling, routing and location problems and their integration in industrial and logistics settings
• Grantee: Reinaldo Morabito Neto
• Support Opportunities: Research Projects - Thematic Grants