Simons, J., Wacker, B., Bossert, A., & Schlüter, J. C., Verkehrsökonomische Analyse von Minibustaxiverkehren in der Metropolregion Kapstadt und der Minenstadt Rustenburg in Südafrika, Zeitschrift für Verkehrswissenschaft, 91, 1-27. www.z-f-v.de
Sörensen, L., Bossert, A., Jokinen, J. P., & Schlüter, J. (2020). How much flexibility does rural public transport need?–Implications from a fully flexible DRT system. Transport Policy, 100, 5-20. doi:10.1016/j.tranpol.2020.09.005
Schröder, M., Bossert, A., Kersting, M. et al. COVID-19 in South Africa: outbreak despite interventions. Sci Rep 11, 4956 (2021). doi:10.1038/s41598-021-84487-0
Schlüter, J., Bossert, A., Rössy, P., & Kersting, M. (2021). Impact assessment of autonomous demand responsive transport as a link between urban and rural areas. Research in Transportation Business & Management, 39, 100613. doi:10.1016/j.rtbm.2020.100613
Bossert, A., Kersting, M., Timme, M., Schröder, M., Feki, A., Coetzee, J., & Schlüter, J. (2020). Limited containment options of COVID-19 outbreak revealed by regional agent-based simulations for South Africa. Open Peer Review@F1000
Bossert, A., von Hausegger, K., Schlüter, J. C. (06/2020), Behavioural analytics for smart cities: The influence of weather on cycle superhighway utilisation in cities with seasonal inhabitant effects. submitted@Cities
Hesse, H., Kühnel, S., Bossert, A., and Schlüter, J. C., Die Sicherheit des Minibustaxiverkehrs in Südafrika. submitted@Soziale welt
Kersting, M., Sörensen, L., Bossert, A., Wacker, B., & Schlüter, J. C. (2021), Predicting Effectiveness of Countermeasures during the COVID-19 Outbreak in South Africa using Agent-Based Simulation, Humanit Soc Sci Commun 8, 174
Schlüter, J., Sörensen, L., Bossert, A. et al. Anticipating the impact of COVID19 and comorbidities on the South African healthcare system by agent-based simulations. Sci Rep 11, 7901 (2021). doi.org/10.1038/s41598-021-86580-w
Books & Technical Reports
Technischer Bericht Dassel
Technical Report 1: Transportanalyse zur Implementierung eines intelligenten Demand Responsive Transport Systems im ländlichen Raum
Technical Report 2: Transportanalyse zur Implementierung eines intelligenten Demand Responsive Transport Systems im ländlichen Raum
Technical Report: Machbarkeitstudie zur Ansiedlung von Hochtechnologien in Schleswig-Holstein.
Technischer Bericht Seesen
Transport Hubs in
In times of transformation from passenger transport, nodes that enable inter- and multimodality in the transport sector are becoming particularly important. New forms of mobility in the context of public transport are thus strongly focused on these starting and transfer points. Accordingly, these nodes are to be considered separately but at the same time in the overall spatial context of the region.
Public Transport in
The proportion of the population aged 60 and older in western countries is countries is growing steadily. The mobility of older people is therefore of of increasing importance, as this rapid growth can lead to serious traffic problems if, with increasing age, the decites in driving skills become more pronounced as people age. The concentration of older people in rural areas thus presents the latter with a thus poses a variety of problems. Up to now, public transport in rural in rural regions is often designed to serve schoolchildren, and even this is only to a limited extent. Accordingly, these regions are facing new challenges and must adapt their structures accordingly.
Currently, a gradual change in the perspective of cities can be observed worldwide due to global warming and the shortage of raw materials. Shortage of raw materials on the one hand, and rapidly growing population figures and the resulting increase in traffic volume on the other. With the signing of the Kyoto Protocol and the associated goal of the international community, global warming to a maximum of 2 degrees Celsius compared to pre-industrial pre-industrial level, the world has committed itself to taking effective steps to reduce greenhouse steps to reduce greenhouse gases. In cities in particular, the bicycle is thus gaining ground as a sustainable, CO2-neutral means of transport. because of its potential to replace motorized transport and contribute to climate protection and quality of life.
Cost Benefit in Transportation
Interdisciplinarity is an essential key to the effectiveness of innovations and technologies. Accordingly, the aim of this work is to evaluate the potential of transport systems from an economic point of view and thereby generate recommendations. Digital approaches enable new options for an optimal interaction of these disciplines.
Transport in Metropolitan Areas
Transportation in the megacities of the has a multitude of problems. One of the biggest core problems is the inadequate public transportation system which leads to a multitude of other problems such as extreme traffic congestion, long commute times, air pollution, fatal traffic accidents. The external cost of these consequences is a high damage to the economic development of these cities. With the continuous growth of these cities, this research area is continuously gaining importance to provide for a more sustainable world.
Agent Based Simulations and Policy Recommendations for Epidemics in South Africa
The People´s Republic of China was the first region to be affected by a global pandemic outbreak in January 2020. COVID-19 spread very quickly around the globe, presenting the international community with new dimensions of economic, social and moral problems. Countries responded by making macroscopic decisions for their nations. The individual regions were not equipped with the appropriate applications to be able to act regionally. Accordingly, micro-management decision support tools could be developed by us to advise the regional decision makers.
New Business Concepts for Public Transport
Ongoing digitization has already produced numerous disruptive innovations, with many more to follow. The transportation sector is particularly affected by these innovations, whether through drones, autonomous vehicles or the digitalization of public transport. New business models must be developed and adapted accordingly.
Demand Responsive Transport Systems in rural Areas
Demographic change is prevalent in rural regions against the backdrop of an aging society as well as out-migration due to a lack of employment opportunities employment opportunities and poor infrastructure. Given a fixed budget for transport operators, declining demand leads to high operating costs per transported customer. This makes the provision of public transport economically inefficient and People in rural areas become highly dependent on private motorized transport. Accordingly, public transport needs to be transformed through digitalization measures. For this purpose, the DRT system Ecobus was developed for rural areas as a door-to-door system.
Simulations for future Transport Systems
Disruptive developments in automated driving systems, new drive concepts and digital mobility are shaping the way people in rural and urban areas. In combination with these technical potentials, novel mobility concepts can improve people`s everyday mobility of people in terms of both cost efficiency and sustainability. In addition, the challenges of demographic change and urbanization can be and negative developments can be mitigated.
In a comparison of the German states, Schleswig-Holstein scores below average on indicators such as gross domestic product per employee and research and development spending. One possible remedy against such scenarios is to provide impetus for technological innovations that have an impact on both economic growth and industrial development.
Research fields involved
Strengthening public transport is an essential contribution to the mobility turnaround. Digitalization enables a better understanding between supply and demand.
Economic development also depends heavily on the regions` capacity for innovation. Individual technologies or the interaction of various technology players creates an environment in which disruptive technologies trigger structural disruptions.
Applied Artificial Intelligence
Due to the large amount of data from the areas of transportation and energy, we use artificial intelligence to analyze it. New use cases for artificial intelligence are emerging in the process.
The combination of methods from the transport sector and the inclusion of digital technologies enable new applications in the field of public health. In this context, it is possible to take a look at the micro level and to model regions in a targeted manner.