Data for a city-level health impact assessment of urban transport in Mauritius

M Thondoo; D Rojas-Rueda; D de Vries; N Naraynen; M J Nieuwenhuijsen; J Gupta

doi:10.1016/j.dib.2020.106658

Data for a city-level health impact assessment of urban transport in Mauritius

Data Brief. 2020 Dec 15:34:106658. doi: 10.1016/j.dib.2020.106658. eCollection 2021 Feb.

Authors

M Thondoo^{1

2

3}, D Rojas-Rueda⁴, D de Vries², N Naraynen⁵, M J Nieuwenhuijsen^{1

6

7

8}, J Gupta²

Affiliations

¹ Barcelona Institute for Global Health (ISGlobal), Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain.
² Amsterdam Institute for Social Science Research (AISSR), University of Amsterdam, 1018 WV Amsterdam, the Netherlands.
³ Faculty of Medicine and Health Sciences, University of Barcelona (UB), 08036 Barcelona, Spain.
⁴ Department of Environmental and Radiological Health Sciences, Colorado State University, 80523 Fort Collins, CO, USA.
⁵ Department of Economics, International Business School, Suzhou, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, China.
⁶ Department of Biomedicine, University Pompeu Fabra (UPF), 08005 Barcelona, Spain.
⁷ Department of Environmental Epidemiology, Municipal Institute of Medical Research (IMIM-Hospital del Mar), 08003 Barcelona, Spain.
⁸ Department of Epidemiology and Public Health, CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.

Abstract

Participatory quantitative Health Impact Assessments (HIAs) in developing countries are rare partly due to data scarcity. This paper reports on primary data collected in the city of Port Louis to complete a HIA of urban transport planning in Mauritius. We conducted a full-chain participatory HIA to assess health impacts on the basis of a transport mode shift in Port Louis, Mauritius [1]. By applying mixed-methods, we estimated averted deaths per year and economic outcomes by assessing the health determinants of air pollution, traffic deaths and physical activity. The participatory quantitative HIA included [1] baseline data collection [2] co-validation of transport policy scenarios with stakeholders and [3] quantitative modelling of health impacts. We used the risk assessment method for HIA appraisal. The data can be reused for epidemiological analysis and different types of impact assessments.

Keywords: Africa; Air pollution; Health impact assessments; Physical activity; Traffic deaths; Urban transport planning.