Transit Rider Body Mass Index Before and After Completion of Street Light-Rail Line in Utah.

OBJECTIVES: To determine whether 2012 to 2015 (times 1-3) ridership changes correlated with body mass index (BMI) changes after transit line completion in Salt Lake City, Utah. METHODS: We used Global Positioning System/accelerometry-measured transit ridership measures in 2012 to 2013 (times 1-2) to compare objective and self-reported ridership. Regression models related changes in objectively measured ridership (times 1-2) and self-reported ridership (times 1-2 and times 1-3) to BMI changes, adjusting for control variables. RESULTS: Objective and self-reported ridership measures were consistent. From time 1 to 2 (P = .021) or to 3 (P = .015), BMI increased among self-reported former riders and decreased among new riders (P = .09 for both times 1-2 and times 1-3), although the latter was nonsignificant. Time 3 attrition adjustment had no effect on results. Adjusting for baseline BMI, the nonsignificant effect for new riders remained nonsignificant, indicating no BMI change; the BMI increase after discontinuing transit remained significant. CONCLUSIONS: Observed BMI increases subsequent to stopping transit ridership persisted for more than 2 years (postintervention). These results suggest that transit ridership protects against BMI gains and support the need to provide convenient transit for public health.

Evaluating the attractiveness of a new light rail extension: Testing simple change and displacement change hypotheses.

Many communities in the United States have been adding new light rail to bus-predominant public transit systems. However, there is disagreement as to whether opening light rail lines attracts new ridership or merely draws ridership from existing transit users. We study a new light rail line in Salt Lake City, Utah, USA, which is part of a complete street redevelopment. We utilize a pre-test post-test control group quasi-experimental design to test two different measures of ridership change. The first measure is calculated from stops along the light rail route; the second assumes that nearby bus stops might be displaced by the rail and calculates ridership change with those stops included as baseline. Both the simple measure (transit use changes on the complete street light rail corridor) and the "displacement" measure (transit use changes in the one-quarter mile catchment areas around new light rail stops) showed significant (p < .01) and substantial (677%) increases in transit passengers compared to pre-light rail bus users. In particular, the displacement analysis discredits a common challenge that when a new light rail line opens, most passengers are simply former bus riders whose routes were canceled in favor of light rail. The study suggests that light rail services can attract additional ridership to public transit systems. In addition, although pre-post control-group designs require time and effort, this project underscores the benefits of such quasi-experimental designs in terms of the strength of the inferences that can be drawn about the impacts of new transit infrastructure and services.

Residents' expectations for new rail stops: Optimistic neighborhood perceptions relate to subsequent transit ridership.

Although complete street policies are proliferating, little is known about how nearby residents perceive and act on their new active transportation opportunities. We survey the same neighborhood residents before and after they receive a new complete street renovation with five new light rail stops. We compare Time-1 expectations to use rail with Time-2 evidence of rail use, based on both self-reported and objective GPS/accelerometer measures of ridership. We examine neighborhood perceptions of four groups, created by combining Time-1 expectations to ride with Time-2 ridership: No expect/no ride, no expect/ride, expect/no ride, and expect/ride. The strongest differences were between the no expect/no ride and expect/ride groups. The riders had more positive expectations for light rail's impact on the neighborhood than non-riders; these broad expectations were more powerfully associated with rail ridership than individual barriers to use, such as time constraints or weather. More positive perceptions of the route to rail stops (pleasantness, traffic safety, and crime safety) were also held by riders. Some of the more positive perceptions helped distinguish between the expect/ride group and the expect/no ride group. These results underscore that increasing positive neighborhood perceptions might help convert expected riders into actual riders.

Objectively measured active travel and uses of activity-friendly neighborhood resources: Does change in use relate to change in physical activity and BMI?

Few studies examine how objectively measured use of local physical activity resources contributes to objectively-measured healthy physical activity and weight changes over time. We utilized objective measures to test whether changes in active travel and uses of three physical activity (PA) resources-parks, recreation centers, and transit- related to changes in PA and BMI. Adults (n = 536) in Salt Lake City, UT, wore accelerometer and GPS units in 2012 and 2013, before and after neighborhood rail completion. Regression outcomes included accelerometer counts per minute (cpm), MVPA (moderate-to-vigorous activity minutes/10 h accelerometer wear) and measured BMI; key predictors were changes in active travel and PA resource uses (former and new uses). Significant results (all p < 0.05) showed that increased active travel related to increased total PA (59.86 cpm and 8.50 MVPA); decreased active travel related to decreased MVPA (- 3.01 MVPA). Poorer outcomes were seen after discontinuing use of parks (- 36.29 cpm, - 5.73 MVPA, and + 0.44 BMI points), recreation centers (- 6.18 MVPA), and transit (- 48.14 cpm, - 5.43 MVPA, and + 0.66 BMI). Healthier outcomes were seen after commencing use of parks (29.83 cpm, 5.25 MVPA), recreation centers (44.63 cpm) and transit (38.44 cpm, 4.17 MVPA, and - 0.56 BMI). Transit and park/recreational center uses were unrelated, although park users were more likely to be recreation center users. Active travel and use of three neighborhood PA resources relate to healthy activity and could be fostered by policy and design.

A Complete Street Intervention for Walking to Transit, Nontransit Walking, and Bicycling: A Quasi-Experimental Demonstration of Increased Use.

BACKGROUND: Complete streets require evaluation to determine if they encourage active transportation. METHODS: Data were collected before and after a street intervention provided new light rail, bike lanes, and better sidewalks in Salt Lake City, Utah. Residents living near (<800 m) and far (≥801 to 2000 m) from the street were compared, with sensitivity tests for alternative definitions of near (<600 and <1000 m). Dependent variables were accelerometer/global positioning system (GPS) measures of transit trips, nontransit walking trips, and biking trips that included the complete street corridor. RESULTS: Active travel trips for Near-Time 2 residents, the group hypothesized to be the most active, were compared with the other 3 groups (Near-Time 1, Far-Time 1, and Far-Time 2), net of control variables. Near-Time 2 residents were more likely to engage in complete street transit walking trips (35%, adjusted) and nontransit walking trips (50%) than the other 3 groups (24% to 25% and 13% to 36%, respectively). Bicycling was less prevalent, with only 1 of 3 contrasts significant (10% of Near-Time 2 residents had complete street bicycle trips compared with 5% of Far-Time 1 residents). CONCLUSIONS: Living near the complete street intervention supported more pedestrian use and possibly bicycling, suggesting complete streets are also public health interventions.

Environmental, behavioral, and psychological predictors of transit ridership: Evidence from a community intervention.

Understanding who takes advantage of new transit (public transportation) interventions is important for personal and environmental health. We examine transit ridership for residents living near a new light rail construction as part of "complete street," pedestrian-friendly improvements. Adult residents (n=536) completed surveys and wore accelerometer and GPS units that tracked ridership before and after new transit service started. Transit riders were more physically active. Those from environments rated as more walkable were likely to be continuing transit riders. Place attachment, but not perceived physical incivilities on the path to transit, was associated with those who continued to ride or became new riders of transit. This effect was mediated through pro-city attitudes, which emphasize how the new service makes residents eager to explore areas around transit. Thus, place attachment, along with physical and health conditions, may be important predictors and promoters of transit use.