Cell Phone Location Data for Travel Behavior Analysis (2018) / Chapter Skim
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1 The objectives of this research were (a) to evaluate the extent to which cell phone data accurately reflect daily travel and (b)
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2 Cell Phone Location Data for Travel Behavior Analysis in a disaggregate form hold the promise of a better understanding of the drivers of demand for both traditional modes and the emerging sharing economy modes. These new locational data sources are expected to disrupt the way practitioners think about travel, and these sources can augment traditional data collection methods as long as sampling issues and biases are understood and addressed.
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Summary 3 The Research Approach and the Comparisons Transportation agencies have either purchased or evaluated the purchase of products on the basis of anonymized and aggregate cell phone data in order to supplement, enhance, or replace traditional data. Practitioners need to be clear about the terminology used to describe and analyze cell phone call detail records (CDRs)
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4 Cell Phone Location Data for Travel Behavior Analysis for model validation, to help drive model updates for intermediate years, and to support analyses for model components (e.g., long-distance travel, special generators, visitor travel, special events, and, potentially, corridor studies)
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