RESUMO
The efficiency of park and ride (PnR) lots has not been investigated in serious depth in prior literature. This study examines the effect of various factors on the utilization rate of PnR lots with panel Tobit models. The examined factors consist of land use features, roadway design features, transit ridership, sociodemographic attributes, travel characteristics, policy tools, gasoline prices, and weather conditions. The data is drawn from PnR lots in King County, Washington. Results show that: (1) degree of mixed land use, road density, employment density, percentages of people aged between 18 and 34 and people over 65, the percentage of white people, the percentage of poor people, and transit ridership are positively associated with the utilization rate of PnR lots; (2) the percentage of drive lanes in total roadway miles, the percentage of males, and the mode share percentage of driving are negatively correlated with the utilization rate of PnR lots; (3) various policy interventions, including countermeasures for preserving transit after the economic recession, congestion reduction charge, and bus-rail integration, are all positively correlated with the utilization rate of PnR lots. Contextualized to US cities, PnR is a practical way to attract bus riders, especially young adults, senior citizens, and low-income people to public transit. Dense urban development is encouraged for the full utilization of PnR lots. Additionally, the integration between bus and rail appears to be an effective policy tool to promote PnR utilization.
RESUMO
This study investigates the effects of sidewalk modification and bike lane accommodation on students' active travel to schools. The modeling framework assumes that a student's choice for the mode of travel to school is impacted by numerous factors such as neighborhood crime rates, traffic safety, built environment amenities, and socio-demographic factors. A generalized linear model is employed to capture longitudinal changes in the mode share of students who walk or bike to school based on data collected from 53 schools in the city of Seattle, Washington. The modeling results indicate that (1) enhanced sidewalk modifications and bike lane accommodations encourage students walking and biking to school; (2) the implementation of Seattle's student assignment plan helps promote students walking to school possibly due to the change from school choice to neighborhood-based school assignment; (3) the size of the school attendance area is not significantly correlated with students' active travel activities, while the size of school enrollment is negatively associated with walking; (4) in school areas with high employment density, biking to school may be a more attractive option for students; (5) greater crosswalk density may encourage more students to walk to school; (6) the density of bike crashes is negatively associated with students biking to school. In terms of policy implications, transport planners should continually promote walking and biking supportive environments and implement policies to encourage active student travel.
