Abstract

The inexorable rise in personal travel in the 20th century has given way to stagnation in the 21st, a phenomenon some call “peak travel.” We use 2003–2019 data from the American Time Use Survey to explore whether and why personal travel per capita has stopped growing. We show that time spent on personal travel has been dropping consistently over these years, and suggest that one important cause is likely a dramatic and ongoing decline in the time Americans spend on out-of-home activities. We find significant changes in time spent on many of the 34 activities conducted inside and outside of the home that we examine. Many of these changes appear related to advances in information and communications technology (ICT), as this period saw the quality of in-home ICT continually rising and its real cost falling, resulting in ever-improving gaming, surfing, watching, and streaming options. For example, our data suggest that out-of-home work and shopping time fell significantly during our study period, while in-home time spent on work and education rose. Game playing (presumably mostly computer games) and TV watching in the home both increased dramatically, while attendance at live entertainment, arts, and sports activities fell. Reading and writing fell substantially both inside and outside the home, perhaps replaced by electronic communication. Our findings suggest that increased in-home ICT use may have been associated with 25–30% of the reduction of out-of-home time. We also find a significant increase in sleeping and a decrease in time spent eating and drinking both inside and outside of the home. Although we deliberately chose to examine time use and travel prior to the COVID-19 pandemic, we suspect that, even as the pandemic fades, the trend toward more time at home and less time spent traveling may well increase further.

Abstract

Problem, research strategy, and findings:
A growing number of planning researchers and practitioners argue for a shift from mobility-centered transportation planning to an accessibility-focused one. Accessibility is a compelling concept that has proven more difficult to operationalize than mobility, which helps to explain why so many accessibility metrics have been developed for urban research and planning practice. To assess the state of these metrics, we reviewed 54 of them in light of their theoretical basis, data requirements, units of analysis, travel modes and trip purposes accounted for, and potential applications to planning practice. We also reviewed the substantial literature on accessibility measurement and interviewed planning practitioners who are applying accessibility metrics in practice. We find that accessibility theory and measurement have advanced more rapidly than applications in practice. However, a new generation of tools is emerging that may accelerate the move to accessibility planning. Although many of the measures focus on a single travel mode, the number of multimodal metrics is growing. Most of the measures are designed for regional-scale planning and scenario evaluation; only a few to date are intended for project evaluation.

Takeaway for practice:
The 54 accessibility metrics and tools we reviewed vary widely and none stands out as obviously superior for planning practice. Although most calculate the accessibility of places, and many do so reasonably well, we see the most promise in measures of the accessibility of travelers, which can then be aggregated for place-based analyses while still shedding light on how access can vary substantially across different types of travelers. The principal challenge to broadly deploying accessibility analyses in practice in the years ahead is in developing measures that meaningfully measure the many salient dimensions of access, have manageable data requirements, and are understandable to planners, public officials, and community members.