The effect of BRT implementation and streetscape redesign on physical activity: A case study of Mexico City

Chang, Andrew S.; Miranda-Moreno, Luis F.; Cao, Xinyu; Welle, Ben

doi:10.1016/j.tra.2017.04.032

Cited by 22 publications

(47 citation statements)

References 24 publications

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“…Each study found positive associations with increased physical activity only within specific study subgroups. Chang et al (2017) found an increase in walking for transport in the surveyed population near transit and in subgroup analysis concluded that this was highest among females with low education. Both Hong et al (2016) and Panter et al (2016) found that there was an increase in transit-related physical activity only among those who were least active at baseline.…”

Section: Resultsmentioning

confidence: 88%

“…Of 18 peer-reviewed articles examining health behaviors, 15 were on physical activity with only five of these incorporating natural experiment designs with sufficient pre- and post-intervention measurements ( Chang et al, 2017 ; Hong et al, 2016 ; Huang et al, 2017 ; Miller et al, 2015 ; Panter et al, 2016 ) ( Supplemental File 3 ). The meta-analysis and subsequent results focus only on the five papers with sufficient physical activity measurements reported.…”

Section: Resultsmentioning

confidence: 99%

“…One study used a repeated cross-sectional design ( Chang et al, 2017 ), while the others were longitudinal within the same cohort ( Table 1 ). Only one study included a control group in the original design ( Hong et al, 2016 ).…”

Section: Resultsmentioning

confidence: 99%

“…All studies examined adults; three had >60% females ( Hong et al, 2016 ; Huang et al, 2017 ; Panter et al, 2016 ). Three studies used accelerometry ( Hong et al, 2016 ; Huang et al, 2017 ; Miller et al, 2015 ); four specifically measured transport-related physical activity ( Chang et al, 2017 ; Hong et al, 2016 ; Miller et al, 2015 ; Panter et al, 2016 ).…”

Section: Resultsmentioning

confidence: 99%

“…Studies systematically reviewed (May–July 2017). Author, year Chang et al (2017) Hong et al (2016) Huang et al (2017) Miller et al (2015) Panter et al (2016) City, country Mexico City, MX Los Angeles, US Seattle, US Salt Lake City, US Cambridge, UK Transit intervention a BRT - new line, 18 new stations LRT - 6 new stations LRT - new line, 13 new stations LRT - new line, 5 new stations BRT - new network Parallel intervention(s) b – Landscaping & bicycle/pedestrian infrastructure – Complete Street & trail Shared-use path Study design Repeated cross-sectional without control group Longitudinal with control group Longitudinal with control group determined retrospectively c Longitudinal with control group determined retrospectively d Longitudinal without control group Scale 500 m 800 m 1.6 km 2 km 30 km e Sampling Household Household Household Household Workplace Study initiation (first year) 2011 2011 2008 2012 2009 Study duration (years) 3 1 2 1 3 N (time 1) 1067 143 f 276 f 939 f 1143 N (time 2) 1420 73 198 536 …”

Section: Resultsmentioning

confidence: 99%

See 4 more Smart Citations

Impact of new rapid transit on physical activity: A meta-analysis

Hirsch

DeVries

Bräuer

et al. 2018

Preventive Medicine Reports

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New rapid transit investments have been motivated by environmental, economic, and health benefits. Given transit's potential to increase active travel, recent research leverages transit changes for natural experiment studies to examine physical activity outcomes. We aimed to quantify the association size, critically examine existing literature, and make recommendations for future studies to advance research and policies on active travel, transportation, and physical activity. Studies of physical activity impacts following transit interventions were systematically reviewed using seven health and transport databases (May–July 2017). Two investigators extracted data on sample size, intervention, pre- and post-intervention physical activity, and relevant measurement information. Inconsistency of results and estimated overall mean physical activity change post-intervention were assessed. Forest plots were created from physical activity change in each study using a general variance-based random effects model. Of 18 peer-reviewed articles examining health behaviors, 15 addressed physical activity and five were natural experiment studies with pre- and post- intervention measurements. Studies varied by intervention, duration, outcome measurement, sampling location, and spatial method. Q (201) and I2 (98%) indicated high study heterogeneity. Among these five studies, after transit interventions, total physical activity decreased (combined mean - 80.4 min/week, 95% CI - 157.9, −2.9), but transport-related physical activity increased (mean 6.7 min/week, 95% CI - 10.1, 23.5). Following new transit infrastructure, total physical activity may decline but transport-related physical activity may increase. Positive transit benefits were location, sociodemographic, or activity-specific. Future studies should address context, ensure adequate follow-up, utilize controls, and consider non-residential environments or participants.

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Section: Resultsmentioning

confidence: 88%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Impact of new rapid transit on physical activity: A meta-analysis

Hirsch

DeVries

Bräuer

et al. 2018

Preventive Medicine Reports

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Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map

Malhotra

White

Cruz³

et al. 2021

Campbell Systematic Reviews

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Background There are great disparities in the quantity and quality of infrastructure. European countries such as Denmark, Germany, Switzerland, and the UK have close to 200 km of road per 100 km2, and the Netherlands over 300 km per 100 km2. By contrast, Kenya and Indonesia have <30, Laos and Morocco <20, Tanzania and Bolivia <10, and Mauritania only 1 km per 100 km2. As these figures show, there is a significant backlog of transport infrastructure investment in both rural and urban areas, especially in sub‐Saharan Africa. This situation is often exacerbated by weak governance and an inadequate regulatory framework with poor enforcement which lead to high costs and defective construction. The wellbeing of many poor people is constrained by lack of transport, which is called “transport poverty”. Lucas et al. suggest that up to 90% of the world's population are transport poor when defined as meeting at least one of the following criteria: (1) lack of available suitable transport, (2) lack of transport to necessary destinations, (3) cost of necessary transport puts household below the income poverty line, (4) excessive travel time, or (5) unsafe or unhealthy travel conditions. Objectives The aim of this evidence and gap map (EGM) is to identify, map, and describe existing evidence from studies reporting the quantitative effects of transport sector interventions related to all means of transport (roads, rail, trams and monorail, ports, shipping, and inland waterways, and air transport). Methods The intervention framework of this EGM reframes Berg et al's three categories (infrastructure, prices, and regulations) broadly as infrastructure, incentives, and institutions as subcategories for each intervention category which are each mode of transport (road, rail trams and monorail, ports, shipping, and inlands waterways, and air transport). This EGM identifies the area where intervention studies have been conducted as well as the current gaps in the evidence base. This EGM includes ongoing and completed impact evaluations and systematic reviews (SRs) of the effectiveness of transport sector interventions. This is a map of effectiveness studies (impact evaluations). The impact evaluations include experimental designs, nonexperimental designs, and regression designs. We have not included the before versus after studies and qualitative studies in this map. The search strategies included both academic and grey literature search on organisational websites, bibliographic searches and hand search of journals. An EGM is a table or matrix which provides a visual presentation of the evidence in a particular sector or a subsector. The map is presented as a matrix in which rows are intervention categories (e.g., roads) and subcategories (e.g., infrastructure) and the column outcome domains (e.g., environment) and subcategories as (e.g., air quality). Each cell contains studies of the corresponding intervention for the relevant outcome, with links to the available studies. Included studies were coded according to the interve...

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Trading-Off Transit and Non-Transit Physical Activity among Older People: Evidence from Longitudinal Accelerometer Data of a Natural Experiment Study

Choe

Sun

2023

J Urban Health

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This study used a natural experiment of a new metro line in Hong Kong to examine tradeoffs between transit-related and non-transit-related physical activity (PA) among 104 older people (aged ≥ 65 years) based on longitudinal accelerometer data that distinguished transit-related and non-transitrelated PA. Difference-in-difference (DID) analysis compared PA changes between treatment and control groups. We found that new metro stations have tradeoff effects between transit and non-transit PA. After opening metro stations, transit-related PA increased by 12 min per day on average, but non-transitrelated PA decreased by 18 min per day. In addition, the proportion of time spent in transit-related PA increased by 6%. The results suggested that new metro stations could generate transit-related PA, but it might shift from non-transit-related PA among older people. Our findings revealed trade-off effects of public transit interventions and have significant implications for transport and healthy ageing studies.

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The effect of BRT implementation and streetscape redesign on physical activity: A case study of Mexico City

Cited by 22 publications

References 24 publications

Impact of new rapid transit on physical activity: A meta-analysis

Impact of new rapid transit on physical activity: A meta-analysis

Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map

Trading-Off Transit and Non-Transit Physical Activity among Older People: Evidence from Longitudinal Accelerometer Data of a Natural Experiment Study

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