This study aimed to investigate the effects of the splitter-island on pedestrian safety at roundabouts, considering the interaction between pedestrians and vehicles. Traffic accident statistics have traditionally been used to assess traffic safety. This method has severe limitations when used to investigate the impact of a particular feature of traffic facilities on safety at a microscopic level. Most previous research on surrogate safety measures (SSMs) had, on the other hand, focused on studying the safety of traffic operation conditions. The impact of a particular geometric feature of a roundabout on safety has so far received little attention in the literature. Therefore, we evaluated pedestrian safety in the presence and absence of physical splitter-islands by taking advantage of comparative statistical analysis (SA) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) methods. The Towa-Cho roundabout in Nagano prefecture in Japan was chosen for this study because it allows for five approaches, three with a splitter-island and two without. From 33-hr video data, a total of 343 and 183 potential pedestrian-vehicle conflicts were detected in three crosswalks with splitter-islands and two crosswalks without splitter-islands, respectively. The minimum time-to-collision (TTCmin), post-encroach-time (PET), maximum speed (MaxS), and maximum deceleration-to-safety (DTS) measures were monitored using particle tracking velocimetry (PTV) software for potential pedestrian-vehicle conflicts. It was found that geometric differences were significantly reflected by SSMs, and TTCmin was the most efficient among all. It was concluded that the splitter-island had a better safety performance than the roundabout approach.

Tourists' preferences for public transport at destinations are homogeneous, while the choice of private transport services is heterogeneous. This paper examined several facets of the existing public transport system to understand tourists' disapproval of the mode choice for pleasurable holiday travel in Lagos, Nigeria. The urban transport services were adjudged based on tourists' perceptions of satisfaction with service features related to mode choice. Statistical and structured analyses were used to explore the association between usage decisions and satisfaction with public transport services. The link between mode choice tolerability and usage decisions was identified using Pearson's correlation coefficient analysis. The principal component analysis (PCA) identified three (3) main factors comprising 16 service dimensions influencing the choice of public transport. The Kaiser-Meyer-Olkin (KMO) and Barlett tests confirmed the sampling adequacy for each variable in each factor and the combined elements. The analyses quantified the association between variables and tourists' usage decisions. The relationship between satisfaction and the variables explained the variation in satisfaction with the quality aspects of public transportation. Thus, the findings expressly explained tourists' usual dissatisfaction with Lagos public transport system for leisure excursions.