Simulationsbasierte Bewertung von Nachhaltigkeitskriterien im Transportbereich: Eine systematische Literaturrecherche

Transportation is crucial for economic prosperity and the quality of life. Yet, it is also associated with negative externalities (e.g. emissions). Developing and implementing more sustainable means of transportation is one of the major concerns of researchers and policy-makers to improve liveability and contribute to environmental conservation. The use of simulation to evaluate sustainability-related indicators of transportation systems has received increasing attention within the last decades. However, research and practice still lack a comprehensive overview of common performance indicators for different transportation modes that are particularly suitable to be analysed by means of simulation-based research. Therefore, we employ a systematic literature review to delineate and conceptualize the status quo of simulation-based sustainability research in the transportation sector. We provide insights on the appropriateness of different simulation methodologies and tools for various transportation modes and sustainability measures and identify research trends and knowledge gaps to provide guidance for prospective simulation-based research

Decreasing Shopping Duration by Altering Choice Environments? An Empirical Investigation of Individual and Hybrid Nudges in the Context of e-Grocery

Boosted by the Covid-19 pandemic, the utilization of online grocery shopping has gained an increasing relevance over recent years. Increasing customer value by reducing friction can be a key option for online grocers to maintain and increase growth, customer loyalty and satisfaction. Being easy and inexpensive to implement, digital nudges can offer distinct benefits for consumers and online grocers. In this context, we investigated the potentials of digital nudging, using anchoring, social norms and a hybrid nudging concept as rational choice triggers. Our results indicate that anchoring and hybrid nudges have a significant effect on purchase frequency, while none of the investigated concepts is capable of reducing the overall shopping duration. Interestingly, in combination with anchoring nudges, social norms do have a significantly influential effect, although individually proven to be ineffective in low involvement decision contexts such as buying groceries online

Integration of Passenger and Freight Transportation using Autonomous Shuttles: A Simulation Study on Sustainability-Related KPIs

Autonomous and integrated passenger and freight transport (APFIT) is a promising approach to tackle both, traffic and last-mile-related issues such as environmental emissions, social and spatial conflicts or operational inefficiencies. By conducting an agent-based simulation, we shed light on this widely unexplored research topic and provide first indications regarding influential target figures of such a system in the rural area of Sarstedt, Germany. Our results show that larger fleets entail inefficiencies due to suboptimal utilization of monetary and material resources and increase traffic volume while higher amounts of unused vehicles may exacerbate spatial conflicts. Nevertheless, to fit the given demand within our study area, a comparatively large fleet of about 25 vehicles is necessary to provide reliable service, assuming maximum passenger waiting times of six minutes to the expense of higher standby times, rebalancing effort, and higher costs for vehicle acquisition and maintenance

Integration of Passenger and Freight Transportation using Autonomous Shuttles: A Simulation Study on Sustainability-Related KPIs

Autonomous and integrated passenger and freight transport (APFIT) is a promising approach to tackle both, traffic and last-mile-related issues such as environmental emissions, social and spatial conflicts or operational inefficiencies. By conducting an agent-based simulation, we shed light on this widely unexplored research topic and provide first indications regarding influential target figures of such a system in the rural area of Sarstedt, Germany. Our results show that larger fleets entail inefficiencies due to suboptimal utilization of monetary and material resources and increase traffic volume while higher amounts of unused vehicles may exacerbate spatial conflicts. Nevertheless, to fit the given demand within our study area, a comparatively large fleet of about 25 vehicles is necessary to provide reliable service, assuming maximum passenger waiting times of six minutes to the expense of higher standby times, rebalancing effort, and higher costs for vehicle acquisition and maintenance

Integration of Passenger and Freight Transportation using Autonomous Shuttles : A Simulation Study on Sustainability-Related KPIs

Autonomous and integrated passenger and freight transport (APFIT) is a promising approach to tackle both, traffic and last-mile-related issues such as environmental emissions, social and spatial conflicts or operational inefficiencies. By conducting an agent-based simulation, we shed light on this widely unexplored research topic and provide first indications regarding influential target figures of such a system in the rural area of Sarstedt, Germany. Our results show that larger fleets entail inefficiencies due to suboptimal utilization of monetary and material resources and increase traffic volume while higher amounts of unused vehicles may exacerbate spatial conflicts. Nevertheless, to fit the given demand within our study area, a comparatively large fleet of about 25 vehicles is necessary to provide reliable service, assuming maximum passenger waiting times of six minutes to the expense of higher standby times, rebalancing effort, and higher costs for vehicle acquisition and maintenance

Integration of Passenger and Freight Transportation using Autonomous Shuttles: A Simulation Study on Sustainability-Related KPIs

Autonomous and integrated passenger and freight transport (APFIT) is a promising approach to tackle both, traffic and last-mile-related issues such as environmental emissions, social and spatial conflicts or operational inefficiencies. By conducting an agent-based simulation, we shed light on this widely unexplored research topic and provide first indications regarding influential target figures of such a system in the rural area of Sarstedt, Germany. Our results show that larger fleets entail inefficiencies due to suboptimal utilization of monetary and material resources and increase traffic volume while higher amounts of unused vehicles may exacerbate spatial conflicts. Nevertheless, to fit the given demand within our study area, a comparatively large fleet of about 25 vehicles is necessary to provide reliable service, assuming maximum passenger waiting times of six minutes to the expense of higher standby times, rebalancing effort, and higher costs for vehicle acquisition and maintenance