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

Felipe de Oliveira Simoyama (Instituto de Ciência e Tecnologia (ICT), UNIFESP, Osasco, Brazil)
Lívia Rodrigues Tomás (CEMADEN, São José dos Campos, Brazil)
Felipe Matheus Pinto (UDESC, Lages, Brazil)
Luiz Leduino Salles-Neto (Instituto de Ciência e Tecnologia (ICT), UNIFESP, Osasco, Brazil)
Leonardo Bacelar Lima Santos (CEMADEN, São José dos Campos, Brazil)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 18 July 2022

Issue publication date: 2 November 2022

156

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.

Keywords

Acknowledgements

The authors thank Claudia Linhares and Demerval Goncalves (Cemaden), researchers from CGE (Emergency Management Center of the city of Sao Paulo), and from Climatempo for the valuable discussions.

The authors would like to thank the São Paulo Research Foundation (FAPESP-Brazil) [grant numbers 2021/03269-7, 2016/01860-1], the National Council for Scientific and Technological Development (CNPq-Brazil) [grant numbers 405702/2021-3, 304528/2021-8] and the Coordination of Improvement of Higher Education Personnel (CAPES-Brazil) for the financial support.

Citation

Simoyama, F.d.O., Tomás, L.R., Pinto, F.M., Salles-Neto, L.L. and Santos, L.B.L. (2022), "Optimal rain gauge network to reduce rainfall impacts on urban mobility – a spatial sensitivity analysis", Industrial Management & Data Systems, Vol. 122 No. 10, pp. 2261-2280. https://doi.org/10.1108/IMDS-03-2022-0145

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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