Public Transit Rider Origin–Destination Survey Methods and Technologies (2019) / Chapter Skim
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1 The purpose of this synthesis study is to understand how the current state of practice in transit rider surveys, notably origin–destination (OD) surveys, is evolving due to emerging technologies and supplemental data sources.
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2 Public Transit Rider Origin–Destination Survey Methods and Technologies Another major finding is the impact that passive data -- automatically collected data originally intended for other purposes -- is having on survey practices. Survey organizations increasingly rely on automatic vehicle location (AVL)
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Summary 3 • Research on the emerging and theoretical uses of passive and big data to support or supplant transit OD surveys; • Inquiry into the skills and training that transit providers and contractors need to better take advantage of new tools and techniques that rely on big data; • Research into the potential of crowdsourced data (used extensively in public engagement) for OD studies; • Research on the feasibility of collecting OD data voluntarily through a rider's personal device (opt in)
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