No abstract

The main purpose of this article is to compare the mode choice decisions between commuting and non-commuting trip chains and evaluate the uncertainties in the mode choice process. According to household survey data from a mediumsized city in China, the whole day of travel is divided into several types of travel chains. We used the multinomial logit model to estimate the impacts of factors on the choices of trip modes, which included walk, bike, public transit, and car. The entropy theory was introduced to evaluate the uncertainty of each traveler's mode choice decision. The results indicate that there are great differences in mode choice between commuting and non-commuting trip chains. It is found that the causes and effects of different chains are different. The results help to understand the decision-making process of mode.

This paper applies the asymmetric driving theory to capture driving characteristics of car-following behavior throughout traffic oscillation. Unmanned aerial vehicle (UAV) was employed to record videos near a bottleneck on an expressway in Nanjing, China, from which authors used advanced image processing technology to track and extract the high-fidelity vehicles trajectory data for a microscopic analysis in this study. First, with analyzing the individual vehicle trajectory throughout oscillation, authors find that the driving characteristics of drivers are heterogeneous but show several consistent features: before and after experiencing oscillation, relatively more drivers tend to maintain aggressive driving, i.e., 49.7% are originally aggressive (OA) and 37.2% are later aggressive (LA). Second, the statistical analysis indicates some representative characteristics of Chinese drivers: the polarization (aggressive or timid) is more significant before oscillation (OA 49.7%, originally Newell ON 18.9% and originally timid OT 31.4%) but changing to relative equilibrium after oscillation (LA 37.2%, later Newell LN 33.8% and later timid LT 29%). Finally, the authors also find that the type and intensity of each driver's reaction in oscillation are related to the characteristics he or she have before encountering oscillation. These findings of asymmetric driving behavior evolution in this paper may help to explain the causes of hysteresis and unstable traffic flow phenomena. INDEX TERMS Car-following, driver behavior, reaction to oscillations, transition, asymmetric theory.

No abstract