Mit Eco-Drive gegen Strassenlärm. Evaluation eines Interventionsprogramms zur Förderung eines leisen Fahrstils.

Strassenlärm ist diejenige Verkehrslärmquelle, die am meisten Menschen belastet. Veränderungen im Handeln der Lärmverursachenden stellen eine vielversprechende Möglichkeit dar, bisherige Lärmbekämpfungsmassnahmen zu ergänzen. Die vorliegende Studie, welche vom Schweizerischen Bundesamt für Umwelt und dem Ministerium für Umwelt, Landwirtschaft, Ernährung, Weinbau und Forsten Rheinland-Pfalz gefördert wurde, widmete sich der Frage, wie die Förderung eines leisen Fahrstils zur Bekämpfung von Strassenlärm nutzbar gemacht werden kann. Hierzu erarbeiteten wir ein Interventionsprogramm zur Förderung eines leisen Fahrstils, welches in Zusammenarbeit mit Mitarbeitenden einer Stadtverwaltung umgesetzt und evaluiert wurde. Die Ergebnisse dieser Studie deuten darauf hin, dass es sich lohnt, einen leisen Fahrstil im Rahmen der Lärmbekämpfung zu fördern; während der mehrwöchigen Durchführung des Programms konnte eine Reduktion der durchschnittlichen Drehzahl, des durchschnittlichen Treibstoffverbrauchs, des gemittelten Summenpegels des Motorengeräuschs wie auch der prozentualen Fahrzeit mit Motorengeräuschen über 60dB(A) beobachtet werden. Befragungen der TeilnehmerInnen gaben zudem Auskunft über die diesen Veränderungen zu Grunde liegende Motivstruktur. Wir präsentieren in diesem Bericht sowohl eine detaillierte Darstellung des verwendeten Interventionsprogramms, des Vorgehens bei dessen Evaluation, sowie die entsprechenden Auswertungen. Wir hoffen, dass durch diese Studie zukünftige Programme zur Förderung eines leisen Fahrstils angeregt werden und von unseren Ergebnissen profitieren können.

Psychological predictors of eco-driving: A longitudinal study

Eco-driving has well-known positive effects on fuel economy and greenhouse-gas emissions. Moreover, eco-driving reduces road-traffic noise, which is a serious threat to the health and well-being of many people. We investigated the psychological predictors of the adoption of eco-driving from the perspective of road-traffic noise abatement. The data came from 890 car drivers who participated in a longitudinal survey over four months. Specifically, we tested the effects of the intention to prevent road-traffic noise, variables derived from the theory of planned behavior (social norm, perceived behavioral control, and attitude), and variables derived from the health action process approach (implementation intention, maintenance self-efficacy, and action control) on the intention to practice eco-driving and on eco-driving behavior. The intention to prevent road-traffic noise was not linked to the intention to practice eco-driving. The strongest predictors of the intention to practice eco-driving were attitude and perceived behavioral control. The strongest predictor of eco-driving behavior was action control. The link between behavioral intention and behavior was weak, indicating that drivers have difficulties putting their intention to practice eco-driving into action. Therefore, intervention efforts should directly address and support the transition from intention to behavior. This could be accomplished by providing reminders, which help to maintain behavioral intention, and by providing behavior feedback, which helps car drivers to monitor their behavior.

Promoting a low-noise driving style: An eco-driving intervention study

Road-traffic noise impairs the well-being and health of many people. Motivating car drivers to voluntarily adopt a low-noise driving style (i.e., eco-driving) contributes to the reduction of road-traffic noise, complementary to requirements, bans, and laws. In a field study with employees of a municipality (N = 88), we investigated the effects of an intervention on car drivers’ motivation to prevent road-traffic noise, motivation to practice eco-driving, and driving behavior. The intervention consisted of a leaflet intended to enhance participants’ motivation, a practical eco-driving course, and weekly driving-performance feedbacks. We used a switching-replications design with two intervention groups. In both groups, eco-driving behavior was significantly strengthened by the intervention. The effects on the motivational variables were significant in only one of the groups (however, it should be noted that the average motivation was already relatively high before the intervention). For one of the groups, the study design allowed testing for the effects at an additional follow-up assessment (4 months after the intervention). The results showed that the intervention effect on driving behavior held across this period. The findings of the present research suggest that it is possible to improve car driver’s behavior with regard to a low-noise driving style.

Experimental Evidence of an Eco-evolutionary Feedback during Adaptive Divergence

Differences in how organisms modify their environment can evolve rapidly and might influence adaptive population divergence [1, 2]. In a common garden experiment in aquatic mesocosms, we found that adult stickleback from a recently diverged pair of lake and stream populations had contrasting effects on ecosystem metrics. These modifications were caused by both genetic and plastic differences between populations and were sometimes comparable in magnitude to those caused by the presence/ absence of stickleback. Lake and streamfish differentially affected the biomass of zooplankton and phytoplankton, the concentration of phosphorus, and the abundance of several prey (e.g., copepods) and non-prey (e.g., cyanobacteria) species. The adult mediated effects on mesocosm ecosystems influenced the survival and growth of a subsequent generation of juvenile stickleback reared in the same mesocosms. The prior presence of adults decreased the overall growth rate of juveniles, and the prior presence of stream adults lowered overall juvenile survival. Among the survivors, lake juveniles grew faster than co-occurring stream juveniles, except in mesocosm ecosystems previously modified by adult lake fish that were reared on plankton. Overall, our results provide evidence for reciprocal interactions between ecosystem dynamics and evolutionary change (i.e., eco-evolutionary feedbacks) in the early stages of adaptive population divergence.