TY  - JOUR
PY  - 2022//
TI  - A framework to assess pedestrian exposure using personal device data
JO  - Proceedings of the Human Factors and Ergonomic Society annual meeting
A1  - Douglas, Grace
A1  - Boyle, Linda Ng
A1  - Kim, Haena
A1  - Moudon, Anne
A1  - Mooney, Steve
A1  - Saelens, Brian
A1  - Ebel, Beth
SP  - 320
EP  - 324
VL  - 66
IS  - 1
N2  - Capturing pedestrian exposure is important to assess the likelihood of a pedestrian-vehicle crash. In this study, we show how data collected on pedestrians using personal electronic devices can provide insights on exposure. This paper presents a framework for capturing exposure using spatial pedestrian movements based on GPS coordinates collected from accelerometers, de?ned as walking bouts. The process includes extracting and cleaning the walking bouts and then merging other environmental factors. A zero-in?ated negative binomial model is used to show how the data can be used to predict the likelihood of walking bouts at the intersection level. This information can be used by engineers, designers and planners in roadway designs to enhance pedestrian safety.<p />  <p>Language: en</p>
LA  - en
SN  - 2169-5067
UR  - http://dx.doi.org/10.1177/1071181322661319
ID  - ref1
ER  -