Modelling long-distance route choice using mobile phone call detail record data: a case study of Senegal

Abstract

This is a repository copy of Modelling long-distance route choice using mobile phone call

A critical appraisal of the use of simple time-money trade-offs for appraisal value of travel time measures

“…While revealed preference (RP) data, including in the form of new big data sources, is gradually making a return in VTT work (e.g. Brownstone et al, 2005;Bwambale et al, 2019), such data is similarly beset by difficulties (e.g. see Varela et al, 2018), and especially large scale national VTT studies are likely to keep a strong focus on hypothetical data for a while yet.…”

Using an Internet of Behaviours to Study How Air Pollution Can Affect People’s Activities of Daily Living: A Case Study of Beijing, China

“…Furthermore, within the same case region, Beijing, Wang et al [ 39 ] utilize CDR data to analyse travel distance between traffic zones and conclude that CDR data use for traffic mode analysis is feasible. Bwambale et al [ 40 ] use the logit model to prove that CDR can capture the expected behaviour towards overlapping routes. All these studies demonstrate that CDR-based trajectories have very similar features to the ground truth ones for distance and speed.…”

Stated choices and simulated experiences: Differences in the value of travel time and reliability

“…There are many recent studies which examine route choice in an RP context (e.g., Djukic et al, 2016;Papinski et al, 2009;Ramos et al, 2012;Vacca et al, 2019;van Essen et al, 2019). One such study shows how mobile phone location data can be used to estimate meaningful VTT measures (Bwambale et al 2019a). One common limitation with many RP studies is the difficultly in being able to generate robust VOR estimates.…”