The emergence of smart devices, in particular mobile devices, has widened the potential types of data that can be collected in the social sciences. Given the fact that traditional surveys require more and more effort, new data sources collected via …
Individual mobility trajectories are difficult to measure and often incur long periods of missingness. Aggregation of this mobility data without accounting for the missingness leads to erroneous results, underestimating travel behavior. This paper …
Passively-generated location data have the potential to augment mobility and transportation research, as demonstrated by a decade of research. A common trait of these data is a high proportion of missingness. Naïve handling, including list-wise …
Currently, travel surveys are the standard method for measuring mobility in official statistics. Nonresponse and measurement are problematic in travel surveys, due to the high burden and non-centrality of the requested information. To overcome these …