An evaluation of emerging data collection technologies for travel demand modeling: from research to practice

Traditional methods of travel data collection are often limited by high costs, infrequent updates, or small sample sizes. Several emerging technologies, such as mobile phone positioning, global positioning system tracking, and Bluetooth re-identification, now allow for easier acquisition of long-term continuous trip data with little to no interaction with subjects. Growing interest in the use of these passive data collection techniques for travel modeling necessitates an evaluation of trends and concerns among researchers and practitioners. This paper contributed to this growing discussion in the field by first conducting a literature review, and then developing a web-based survey and interviews with transportation professionals to identify current applications and limitations of passive travel data. Based on the insights gained from these efforts, a set of research recommendations was developed, which will support the continued emergence of travel data collection technologies. The results revealed that several innovative sources of travel data are receiving increased attention and acceptance. On the other hand, more work will need to be done to address the concerns of travel demand modelers and help bridge the gap between the research and practice communities.