Evidence map›Paper›PMID 38720323›Full record

ArticleThe international journal of behavioral nutrition and physical activity2024

Uncovering physical activity trade-offs in transportation policy: A spatial agent-based model of Bogotá, Colombia.

Ivana Stankov, Jose D Meisel, Olga Lucia Sarmiento, Xavier Delclòs-Alió, Dario Hidalgo, Luis A Guzman, Daniel A Rodriguez, Ross A Hammond, Ana V Diez Roux

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Urban Environments, Health, and Environmental Sustainability: Findings From the SALURBAL Study.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    Review
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

9 authors.

Ivana StankovUrban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St, 7th Floor, Philadelphia, PA, 19104, USA. is379@drexel.edu.ORCID 0000-0002-9232-2749
Jose D MeiselFacultad de Ingeniería, Universidad de Ibagué, Carrera 22 Calle 67, 730001, Ibagué, Colombia.
Olga Lucia SarmientoDepartment of Public Health, School of Medicine, Universidad de Los Andes, Bogotá, Colombia.
Xavier Delclòs-AlióResearch Group On Territorial Analysis and Tourism Studies (GRATET), Department of Geography, Facultat de Turisme I Geografia, Universitat Rovira I Virgili, C/ Joanot Martorell, 15, 43480, Vila-Seca, Spain.
Dario HidalgoDepartment of Industrial Engineering, Pontificia Universidad Javeriana, Bogotá, Colombia.
Luis A GuzmanGrupo de Sostenibilidad Urbana y Regional, SUR. Department of Civil and Environmental Engineering, Universidad de los Andes, Bogotá, Colombia.
Daniel A RodriguezDepartment of City and Regional Planning and Institute of Transportation Studies, University of California, Berkeley, 228 Bauer-Wurster Hall #1820, Berkeley, CA, 94720-1820, USA.
Ross A HammondThe Brookings Institution, 1775 Massachusetts Avenue, N.W., Washington, DC, USA.
Ana V Diez RouxUrban Health Collaborative, Dornsife School of Public Health, Drexel University, 3600 Market St, 7th Floor, Philadelphia, PA, 19104, USA.

Funding

Wellcome Trust 205177/Z/16/Z
6 · The paper itself

Abstract

backgroundTransportation policies can impact health outcomes while simultaneously promoting social equity and environmental sustainability. We developed an agent-based model (ABM) to simulate the impacts of fare subsidies and congestion taxes on commuter decision-making and travel patterns. We report effects on mode share, travel time and transport-related physical activity (PA), including the variability of effects by socioeconomic strata (SES), and the trade-offs that may need to be considered in the implementation of these policies in a context with high levels of necessity-based physical activity.

methodsThe ABM design was informed by local stakeholder engagement. The demographic and spatial characteristics of the in-silico city, and its residents, were informed by local surveys and empirical studies. We used ridership and travel time data from the 2019 Bogotá Household Travel Survey to calibrate and validate the model by SES. We then explored the impacts of fare subsidy and congestion tax policy scenarios.

resultsOur model reproduced commuting patterns observed in Bogotá, including substantial necessity-based walking for transportation. At the city-level, congestion taxes fractionally reduced car use, including among mid-to-high SES groups but not among low SES commuters. Neither travel times nor physical activity levels were impacted at the city level or by SES. Comparatively, fare subsidies promoted city-level public transportation (PT) ridership, particularly under a 'free-fare' scenario, largely through reductions in walking trips. 'Free fare' policies also led to a large reduction in very long walking times and an overall reduction in the commuting-based attainment of physical activity guidelines. Differential effects were observed by SES, with free fares promoting PT ridership primarily among low-and-middle SES groups. These shifts to PT reduced median walking times among all SES groups, particularly low-SES groups. Moreover, the proportion of low-to-mid SES commuters meeting weekly physical activity recommendations decreased under the 'freefare' policy, with no change observed among high-SES groups.

conclusionsTransport policies can differentially impact SES-level disparities in necessity-based walking and travel times. Understanding these impacts is critical in shaping transportation policies that balance the dual aims of reducing SES-level disparities in travel time (and time poverty) and the promotion of choice-based physical activity.

Indexed as

ExerciseTransportationWalkingAdultBicyclingCitiesColombiaFemaleHumansMaleSocioeconomic FactorsTaxesAgent-based modelComplex systemsHealth inequitiesPhysical activityTime scarcityTransportation policy

Identifiers

PMID38720323
PMCPMC11077730

What OpenQuestion holds

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LicenceCC BY
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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.