Jie Yu

Objective: This article examines traffic safety behaviors for different types of road users among children aged 0 to 17 years in Guangzhou, China. Methods: A stratified cluster sample of 7034 children from pediatric clinics (816 children aged 0–2 years who are receiving vaccines), kindergartens (1148 children aged 3–5 years), primary schools (2410 children aged 6–11 years), and secondary schools (2660 children aged 12–17 years) was collected by self-reported questionnaire surveys. The respondents were instructed to respond to each behavior question, using response choices scoring from 0 to 3. An 18-item-weighted Road Safety Behavior Index (RSBI), including 5 items for walking, 7 items for cycling, 2 items for public transport, and 4 items for private motor vehicles, was developed to quantify the child road safety behaviors and further investigate their interrelations with the sociodemographic factors among different age groups and travel categories. A higher RSBI indicates a lower risk of childhood road safety. Results: Results from statistical analysis indicate that (1) the effects of children's sociodemographic characteristics on the RSBIs differ greatly concerning each particular travel category; and (2) RSBIs are associated more with child-related characteristics than with parent-related characteristics as the age of the children's group increases. The research findings from analyzing the self-report questionnaires were further validated with field observational records, medical records, and police records. Conclusions: The article concludes with some recommendations for preventing the increasing toll of road traffic injury among Chinese children, which include (1) continuing educational efforts to increase knowledge of road safety and reduce traffic risk behaviors for children and their parents; (2) creating a safe and convenient environment for walking, cycling, and public transport travelers; and (3) promoting legislation and enforcement such as the mandatory usage of bicycle helmets and child passenger restraints.

This paper presents the analysis results of driver responses during a yellow phase, based on field observations of 1,123 drivers collected with a specially designed system from six signalized intersections of high crash frequency in Maryland. By classifying drivers into aggressive, conservative, and normal groups based on their responses (i.e., stop or pass) and the distances to the stop line when the signal turns yellow, the statistical tests with the ordered probit model clearly indicate some critical variables and their impacts on a driver’s decision at intersections. Such variables include average traffic flow speeds, traffic volume rate, the green split, the number of through and crossing lanes in the target approach, signal coordination, the difference between a vehicle’s approaching speed and the average traffic flow speeds, a driver’s gender and age, talking over a cell phone or not, a vehicle’s type and model, and so on. The research findings for this study offer the basis for responsible agencie...

This paper presents a comprehensive model for ranking candidate location plans of multiple urban transit hubs, which can effectively capture various aspects of concerns in the transit hub location planning process, including the overall efficiency of the transit network, the transfer intensity, the proximity to major passenger generators/attractors, the effectiveness of hub service coverage, the compatibility with land use restrictions, and the adaptability to future developable transit concepts. Grounded on an analytical hierarchy process (AHP)-based framework integrated with fuzzy logic, the proposed model offers the strengths to effectively determine the weights for multiple evaluation criteria and to synthesize the final score of each candidate plan for comparison. Results from a case study in Suzhou Industrial Park, China, reveal that the proposed model offers some promising properties for transportation planners to use in planning of transit hub locations. Comparative studies with respect to differe...