a b s t r a c tPublic subsidy of transit services has increased dramatically in recent years, with little effect on overall ridership. Quite obviously, a clear understanding of the factors influencing transit ridership is central to decisions on investments in and the pricing and deployment of transit services. Yet the literature about the causes of transit use is quite spotty; most previous aggregate analyses of transit ridership have examined just one or a few systems, have not included many of the external, control variables thought to influence transit use, and have not addressed the simultaneous relationship between transit service supply and consumption. This study addresses each of these shortcomings by (1) conducting a cross-sectional analysis of transit use in 265 US urbanized areas, (2) testing dozens of variables measuring regional geography, metropolitan economy, population characteristics, auto/highway system characteristics, and transit system characteristics, and (3) constructing two-stage simultaneous equation regression models to account for simultaneity between transit service supply and consumption. We find that most of the variation in transit ridership among urbanized areas -in both absolute and relative terms -can be explained by factors outside of the control of public transit systems: (1) regional geography (specifically, area of urbanization, population, population density, and regional location in the US), (2) metropolitan economy (specifically, personal/household income), (3) population characteristics (specifically, the percent college students, recent immigrants, and Democratic voters in the population), and (4) auto/highway system characteristics (specifically, the percent carless households and nontransit/non-SOV trips, including commuting via carpools, walking, biking, etc.). While these external factors clearly go a long way toward determining the overall level of transit use in an urbanized area, we find that transit policies do make a significant difference. The observed range in both fares and service frequency in our sample could account for at least a doubling (or halving) of transit use in a given urbanized area. Controlling for the fact that public transit use is strongly correlated with urbanized area size, about 26% of the observed variance in per capita transit patronage across US urbanized areas is explained in the models presented here by service frequency and fare levels. The observed influence of these two factors is consistent with both the literature and intuition: frequent service draws passengers, and high fares drive them away.

This article compares the impacts of spatial mismatch (the geographic separation of workers and jobs) and transportation mismatch (the lack of access to a private automobile) on neighborhood employment-to-population ratios and unemployment rates. The study uses tract-level data for the Los Angeles metropolitan area. The analysis uses an instrumental-variable approach to correct for the simultaneity of employment and car ownership. Results indicate that transportation mismatch is the more important factor in generating poor labor-market outcomes, particularly for disadvantaged neighborhoods. Areas with relatively more jobs increase female employment rates but not male employment rates. On the other hand, lower car ownership rates significantly decrease the employment ratio and increase the unemployment rate for both sexes.

The purpose of this paper was to examine the geographic distribution of New York City adults aged 65 and older by race/ethnicity and poverty status. Also analyzed was seniors' access to dental care as defined by the location of dental providers and their proximity to the subway system lines in Manhattan and the Bronx. ArcGIS software was used to create a geographic information system (GIS) incorporating relevant data from a variety of sources. Individual and overlay maps were then produced to examine the aims of this analysis. Data showed that Black race, Hispanic ethnicity, and poverty status tend to co-occur spatially among seniors in Northern Manhattan and the South Bronx. Further, a spatial/transportation barrier may inhibit access to dental care for seniors who reside in these areas. By presenting multiple layers of local information juxtaposed, GIS can help provide directions for planning oral health service delivery for seniors.

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