A Smartphone-Based System for Automated Detection of Walking

dc.contributor.authorHurwitz, Philip M.
dc.date.accessioned2019-04-09T19:58:22Z
dc.date.available2019-04-09T19:58:22Z
dc.date.issued2015
dc.description.abstractWalking is the most effective mode of travel to access transit: transit hubs with higher residential and employment densities have higher ridership levels because they serve areas where a large population is within a short walk of transit service. Walking has additional benefits: it is well-known as a low impact mode of travel for short trips to and from, as well as within, commercial areas; and it is the most popular form of physical activity. However, current data on walking are notoriously poor. Travel surveys and diaries underestimate walking activity and lack information on walking paths taken, thereby undermining transportation policies that can encourage sustainable travel. Objective data on how often, how long and where people walk are essential to support environmentally friendly and safe transportation systems.en_US
dc.description.sponsorshipPacific Northwest Transportation Consortium UW Urban Form Laben_US
dc.identifier.urihttp://hdl.handle.net/1773/43577
dc.language.isoen_USen_US
dc.subjectTransportation Safetyen_US
dc.subjectData and Information Technologyen_US
dc.subjectPedestrianen_US
dc.subjectBicyclisten_US
dc.subjectPlanning and Forecastingen_US
dc.subjectPublic Transportationen_US
dc.titleA Smartphone-Based System for Automated Detection of Walkingen_US
dc.typeTechnical Reporten_US

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