Evidence map›Paper›PMID 32827806›Full record

ArticleEnvironment international2020

Participatory quantitative health impact assessment of urban transport planning: A case study from Eastern Africa.

M Thondoo, N Mueller, D Rojas-Rueda, D de Vries, J Gupta, M J Nieuwenhuijsen

Abstract read
In one paragraph

Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Review
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  9. Article
  10. Health Impacts of Urban Bicycling in Mexico.International journal of environmental research and public health · 2021
    Article
  11. Article
  12. Article
  13. Framework for Participatory Quantitative Health Impact Assessment in Low- and Middle-Income Countries.International journal of environmental research and public health · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

M ThondooBarcelona Institute for Global Health (ISGlobal), Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain; Amsterdam Institute for Social Science Research (AISSR), University of Amsterdam, 1018 WV Amsterdam, the Netherlands; Faculty of Medicine and Health Sciences, University of Barcelona (UB), 08036 Barcelona, Spain. Electronic address: meelan.thondoo@isglobal.org.
N MuellerBarcelona Institute for Global Health (ISGlobal), Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain; Department of Biomedicine, University Pompeu Fabra (UPF), 08005 Barcelona, Spain; Department of Epidemiology and Public Health, CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
D Rojas-RuedaDepartment of Environmental and Radiological Health Sciences, Colorado State University, 80523 Fort Collins, CO, USA.
D de VriesAmsterdam Institute for Social Science Research (AISSR), University of Amsterdam, 1018 WV Amsterdam, the Netherlands.
J GuptaAmsterdam Institute for Social Science Research (AISSR), University of Amsterdam, 1018 WV Amsterdam, the Netherlands.
M J NieuwenhuijsenBarcelona Institute for Global Health (ISGlobal), Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain; Department of Biomedicine, University Pompeu Fabra (UPF), 08005 Barcelona, Spain; Department of Environmental Epidemiology, Municipal Institute of Medical Research (IMIM-Hospital del Mar), 08003 Barcelona, Spain; Department of Epidemiology and Public Health, CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain. Electronic address: mark.nieuwenhuijsen@isglobal.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh rates of motorization in urban areas of Africa have adverse effects on public health. Transport-related mortality will increase as a result of inadequate transport infrastructure, air pollution and sedentary lifestyles. Health Impact Assessments (HIAs) have proven to be a successful tool to predict and mitigate negative health impact of urban transport planning policies, programmes or projects. Yet, there is a gap of evidence on transport and health in African countries. The aim of this study is assessing the health impacts of transport scenarios in Port Louis (city of 119,018 inhabitants in Mauritius) using a full chain participatory HIA model.

methodsWe estimated health and economic impacts associated to transport scenarios with qualitative data and quantitative comparative risk assessment methods. The health impact modeling was based on differences between the baseline and three transport scenarios (worse, good, ideal), estimating the averted deaths per year and economic outcomes by assessing health determinants of air pollution (AP), traffic deaths and physical activity (PA). Data on air pollution and traffic fatalities were obtained from public data sources. Data used to construct scenarios, establish baseline travel mode shares and physical activity were collected through (a) open-ended individual interviews (IDIs) with 14 stakeholders (b) closed-ended survey questions to 600 citizens and (c) 2 focus group discussions (FGDs) with the same 14 stakeholders from (a).

resultsIn Port Louis, the worse-case transport scenario (doubling in car trips and a reduction in walking, motorcycle, and public transport), resulted in a total increment of 3.28 premature deaths per year. The good-case scenario (reducing car trips by half and increasing walking, motorcycle, and public transport trips) resulted in a total increment of 0.79 premature deaths per year. The ideal-case scenario (reduction in car and motorcycle trips and an increase in walking and public transport trips) resulted in a total reduction of 13.72 premature deaths per year. We estimated USD 23 millions of economic benefits related to mortality if the ideal-case was achieved.

conclusionParticipatory HIA shows that implementing transport policies aiming for less than an ideal situation may not be adequate or sufficient to avoid negative transport-related mortality in Mauritius. Urban transport planning is an opportunity to encourage physical activity in rapidly urbanizing settings of Africa. Transport policies should aim to restrict all forms of private motorized vehicles and promote active and public transport to support public health. We highly recommend the use of participatory approaches in quantitative HIA to ensure context specificity and policy relevance.

Indexed as

Air PollutionHealth Impact AssessmentAfrica, EasternCitiesCity PlanningTransportationAfricaHealth impact assessmentMauritiusPremature mortalityUrban transport planning

Identifiers

PMID32827806
PMCPMC7434638

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.