Kim, Sung Hoo

Crash severity is one of the most widely studied topics in traffic safety area. Scholars have studied crash severity through various types of models. Using the publicly available 2017 Maryland crash data from the Department of Maryland State Police, the authors develop a multinomial logit (MNL) model and a random forest (RF) model, which belong to discrete choice and tree-based models, respectively, to (1) identify factors contributing to crash severity and (2) compare prediction performances an

Public transportation has been regarded as one of the most sustainable forms of transport, because of which local governments have put efforts in increasing the mode share of public transportation. Recently, not only level of service but also user satisfaction has been focused on for the assessment of transport policy; however, several points have been overlooked in previous research, such as attribute-based satisfaction, the relationship between level of service and satisfaction, and user expec

This chapter maps the landscape of travel behavior research using a bibliometric approach. To this end, we employ metadata about articles published in peer-reviewed transportation journals from the Scopus and Transport Research International Documentation (TRID) databases. Since the domain does not have a crisp boundary, we take a model-based approach to identify target papers. Specifically, we label as “travel behavior” articles from the Travel Behavior and Society journal and from certain volu

Autonomous vehicles (AVs) are believed to be the next gamechanger in transportation systems. They will lead to increasing “passengerization” of travel, that is, drivers will more often become passengers. From the travel behavior perspective, it means the way people perceive vehicles or travel (i.e., attitudes or perceptions) as well as how people evaluate their time spent in vehicles (i.e., value of travel time) will eventually change. Accordingly, once AVs are fully mature, behavioral changes a