Altruistic or selfish? Responses when safety is threatened depend on childhood socioeconomic status

Altruism is an effective method of coping with threats. This research explored the relationship between childhood socioeconomic status (SES) and altruism under different situations. The results of five studies provided reliable evidence that safety-threat conditions moderated the relationship between childhood SES and altruism. Individuals with higher childhood SES exhibited higher altruistic intentions (Studies 1 and 2) and behaviors (Study 3) when they were manipulated to imagine a safety threat scenario (Study 1), when viewing pictures of disasters (Study 2), and when they were manipulated to believe that their health was under threat (Study 3). However, their childhood SES had no significant impact on their altruistic intentions and behaviors in relatively safe environments (Studies 1–3). This effect was again tested in more realistic environmental conditions using a large-scale survey in Study 4. In Study 5, we explored the underlying mechanism behind the earlier findings (i.e., temporal discounting).     

Cyclists as a minority group?

In the social sciences, several definitions of minority group can be found. The definitions include different aspects such as power/status, number, distinctiveness, social category, group context, dispositions, and discrimination. Compared to motorized road users, cyclists are considered vulnerable road users because they lack physical protection. We argue that such definition does not capture the social and cultural aspects that characterize the membership within the group of cyclists. We offer arguments and reflections based on recent literature advocating that cyclists may share some features of the experience of minority groups. Although cyclists differ from other minorities in important respects, they manifest many of the characteristics by which minority groups are defined.     

The analysis of drivers’ hazard detecting ability using Empathizing–Systemizing model

Since there are drivers who repeatedly have accidents, this research postulated that the lack of hazard perception which is a primary cause of accidents might be determined by individual differences in cognitive traits. The Empathizing–Systemizing (E–S) model was used for the cognitive traits, with Empathizing expected to correspond to ability at hazard perception and fewer accidents and/or incidents (near-accidents). On the other hand, Systemizing was not expected to contribute to them. A web questionnaire was conducted to collect data of accidents and incidents experienced during ordinary driving, and this was analyzed. The results showed that drivers with higher Empathy Quotient (EQ) experienced fewer accidents and incidents. The Systemizing Quotient (SQ) had no significant effect on these experiences. However, the experience of incidents by drivers with high Systemizing Quotient increased when their Empathy Quotient was low. Based on these results, it was suggested that drivers who have a stronger Empathizing function may have a stronger ability at hazard perception. On the other hand, the Systemizing function may weaken hazard perception ability when Empathizing is weak, although it does not have an independent effect.     

Study of unique merging behavior under mixed traffic conditions

Roads in developing countries carry mixed traffic with wide variations in static and dynamic characteristics of vehicles. The traffic flow is also generally devoid of lane discipline, with vehicles occupying any available road space ahead. In such a regime of traffic flow, the phenomena of merging of vehicles at intersections of two roads is complex, warranting further study. The merging maneuvers at T-intersections under congested traffic conditions were studied microscopically through video-recording. In congested situations, the merging vehicle attempts a complex merging maneuver to enter the main traffic stream. Two unique merging processes are commonly observed in mixed traffic: group and vehicle cover merging (these are generally not observed in countries such as US). The author is using these words first time in this study. These reflect the different types of driver behavior – merging in groups, and by taking cover of another vehicle. Probabilistic models for group and vehicle cover merging are developed that capture this unique merging behavior. Comprehensive microscopic data collection and extraction were carried out to study the merging process at T-intersection under congested conditions. Merging models were then estimated using maximum likelihood method with disaggregate data that was collected for a case study T-intersection in Chennai city, India. Such models can find applications in simulation of highly congested traffic flow in a realistic manner under mixed traffic conditions. They can also give insights on devising better traffic control measures at such intersections.     

Drivers’ engagement level in Adaptive Cruise Control while distracted or impaired

Adaptive Cruise Control (ACC) is designed for convenience to maintain a set speed and specified distance from a lead vehicle. However, use of ACC may change driving patterns and perceptions over time. Many drivers perceive safety benefits associated with ACC even though the safety implications are not always clear. This study examined the factors that can influence the frequency of ACC use with surveys distributed to ACC owners in Washington State. A cluster analysis was conducted to group drivers based on how often they activated and used ACC under various driving scenarios. Four clusters emerged that showed a range of use from those who rarely used ACC in any situation (low engagement group) to those who used it for almost all situations regardless of whether it is appropriate or not (high engagement group). An ordered logit model was used to predict the likelihood of being in one of the four clusters. Drivers that were less likely to use ACC in distracting or impaired situations tend to be older, were not willing to re-purchase a similar vehicle with ACC, and were generally confused on how to use the cruise speed setting. Drivers who reported higher overall use of ACC also used the system in situations that can be considered distracting or risky, which can negate the overall benefits of ACC.     

Model of guidance for visually impaired persons in the traffic network

The movement of the blind and visually impaired persons in the traffic network is today based exclusively on the application of aids (white cane) and methods that the users learn during the training of orientation and movement. In present paper authors investigate accessibility of information and communication technologies and services with the purpose of increasing the mobility level of the blind and visually impaired persons when moving in the traffic network of the City of Zagreb. The traffic intersections were analysed from the viewpoint of difficult-to-master for independent movement by using the basic methods of crossing a traffic intersection which the users acquire at the training of orientation and movement. The method of survey and interviews with a target group of users was used to evaluate all the relevant parameters of guidance and navigation resulting from the mentioned analyses and by performing training of orientation and movement in the duration of six months. Based on the carried out research and the used scientific methods the dynamic model has been defined and it is based on relevant parameters of guidance and navigation, and on the application of the information and communication technologies and services. The information provided to the user, by the system, is defined according to the currently available technologies. The model was efficiency tested on a real system of the traffic network of the City of Zagreb.     

Factors affecting perceived safety and enjoyment based on driver experience

A positive driving experience, especially for older drivers, increases the attention to the emotional dimensions of driving, such as the driver’s perceived safety. Therefore, this study empirically presents factors affecting driver experience and compares them between older and younger drivers. Consequently, we conducted a face-to-face survey on elderly and young drivers and analyzed the data of 246 drivers using structural equation modeling. The analysis presented measurements and structural model evaluations. Considering the analysis, it was found that driving-related information and car-exterior context affect the perceived safety and enjoyment of a driver’s experience. Additionally, car-exterior context exerts a greater influence on the perceived safety and enjoyment of the elderly drivers’ group than the young drivers’ group. The results of this study will empirically contribute to the satisfaction of driver experience and perceived safety improvement in the future. It also provides a basis for the development of driving interfaces to improve the quality of the driving experience of the elderly.