Sustainable mobility is one of the emerging topics of our time. On the one hand, mobility in the sense of moving persons and goods is one of the central functions for a successful economy and a worth living society.
On the other hand, mobility contributes the highest CO2 emissions besides energy production and is connected to many other harmful effects in the ecological, economic and social dimensions of sustainability. However, many industry and research activities as well as address sustainable mobility solutions that are emission-free, socially responsible, and economically long-lasting. In general, ICT solutions make mobility solutions more effective and can help reduce the adverse effects of mobility.
Topics of the track
Evaluation of a Sustainable Crowd Logistics Concept for the Last Mile Based on Electric Cargo Bikes
During to the recent growth of e-commerce and as the number of shipments are rising last mile services are facing many challenges and hurdles especially in rela-tion to sustainable action. Within the project NaCl measures were tested to ad-dress and to positively impact the three dimensions of sustainability on the last mile. Based on the usage of electric cargo bikes and a crowd logistics approach shipments of a regional logistics service provider and beyond of regional station-ary retailers were realized during a three-month pilot phase. The project's activi-ties and objects were evaluated regarding positive effects on social and ecological sustainability while including the economic aspects of the transportation system. The aim of the evaluation was to be able to make a fundamental statement regard-ing the usability of the crowd logistics approach and the sustainable Customer Relationship Management approach and, if necessary, to identify optimization po-tential and concrete suggestions for improvement. Another objective of the evalu-ation was to determine the needs of different participants such as retailers and shippers as well as of receivers and deliverers while considering sustainable goals. Various data collection and analysis methods were adopted to evaluate the project objectives in quantitative and qualitative ways. The evaluation audited the approach’s ability to have positive impacts on different dimensions of sustainability and showed further possibilities for improvement.
Mobility as a Service and the Avoid-Shift-Improve approach
During the last few years, “Mobility as a Service” (MaaS) has been concep-tualized and researched as a platform for integrated, mixed-mode mobility. While some hope it will lead to environmental benefits, its real effects are still unclear. Here, we explore how MaaS is related to, and can be combined with, the established “Avoid-Shift-Improve” transport planning approach (ASI). We see that the MaaS concept described in research does not support “Avoid”-ing unnecessary transport. We combine learnings from MaaS re-search with learnings from a living lab, where mobility services can be booked in combination with a local co-working hub for commuters. In both literature and living lab, we especially examine the role of public authori-ties for ASI in MaaS. We conclude that more research is needed on how MaaS can be guided by ASI, and suggest that non-travel accessibility ser-vices, such as co-working hubs, could be part of the MaaS concept to sup-port “Avoid”-ing unnecessary transport. Furthermore, we suggest that urban form needs to be considered in MaaS research. We also see that public au-thorities have an important role to play in ensuring that MaaS serves ASI and sustainable mobility.
A Framework for Assessing Impacts of Information and Communication Technology on Passenger Transport and Greenhouse Gas Emissions
Information and communication technology (ICT) provides unprecedented opportunities to reduce greenhouse gas (GHG) emissions from passenger transport by avoiding, shifting or improving transport. Research on climate protection through ICT applications in passenger transport mainly focuses on theoretical potentials, is assuming that digital mobility services replace GHG-intensive transport modes (e.g. car travel), and does not specify the conditions under which decarbonization potentials will materialize. It is known that digital mobility services can also take a complementary (as opposed to substituting) role in travel or replace non-motorized travel, which can increase GHG emissions. Based on existing literature, we develop a conceptual framework to guide qualitative and quantitative assessments of the relationship between ICT use, the transport system and GHG emissions. The framework distinguishes three types of effects: (1) First-order effects, GHG impacts of producing, operating and disposing the ICT hardware and software, (2) second-order effects, impacts of ICT on properties of transport modes, transport mode choice and travel demand, and (3) third-order effects, long-term structural changes due to ICT use (e.g. residential relocation). We qualitatively demonstrate the framework at the example of automated driving and discuss methodological challenges in assessments of ICT impacts on passenger transport such as the definition of system boundaries, selection of indicators to measure ICT use, consideration of socio-demographic characteristics of individuals and the inference of causality. The framework supports researchers in scoping assessments, designing suitable assessment methods and correctly interpreting the results, which is essential to put digitalization in passenger transport at the service of climate protection.
Analysis of the Grid Capacity for Electric Vehicles in Districts with a Major Need for Sustainable Energy Refurbishment: The Case of a District in Lower Saxony
The demand for charging facilities is growing in parallel to the number of electric vehicles (EV). This demand will be predominantly covered by private charging points connected to the low-voltage grid. The increased load resulting from these charging processes may cause grid instabilities depending on operational factors. These high load cases were unknown while planning and building the grid of existing districts. Therefore, critical grid situations resulting from high penetration rates of EV can oc-cur. The goal of this research is to analyze the effects of an increasing EV penetration rate in existing districts with opportunities for different levels of cooperative energy generation and measure the maximum possible grid capacity for EV charging. Identi-fied limiting factors are then considered in further simulations regarding the energy refurbishment of the district trying to enhance the grid’s capacity for EV.
Due to the multidisciplinary nature of the components involved in the simulation of this system, a co-simulation framework is required to conduct the power system analyses. This will allow coupling different modelling tools and will enable orchestra-tion and communication of parameters between components, so that a systems-wide perspective is achieved. The simulation scenario, the existing models and the newly developed or modified models will be accessible under open-source license enabling a transparent research process and improving research quality as well as accessibility.
Emobpy, a tool for calculating the grid electricity demand of EV from empirical data, is coupled with pandapower to perform quasi dynamic load flow calculations and hence determine the current grid capacity for EV. The EV model provides time-dependent power values of the charging processes occurring in the district. The user-specific behaviour (charging frequency, charging time), current and future penetra-tion rates, common charging capacities, coincidence factors and typical path lengths are considered. Photovoltaic and battery storage models are added and coupled to the energy system to increase the grid capacity and prevent critical grid situations with high penetration rates.
Automatic Recording and Analysis of the Quality of Biking Paths
The number of people living in urban environments is continuously increasing. The available space for a living gets more and more expensive and rare. On the other hand, more and more people prefer using bikes for their daily routine.
Especially in cities, the environment is not always bike-friendly: High air pollution, bumpy and noisy streets or blocked paths hinder a relaxed biking trip in city areas.
The system presented in this work consists of two parts: A sensing platform collects information about the current road being used on a bike, like the noise level or the air quality. The second part is a server platform, which collects the data from the sensor platform and can offer optimized route planning for bikers according to the experience of all users.
Using this crowd-sensing approach, the biking community can benefit from navigation to find the nicest route to the destination.
Hydrogen Technology Business Management Modeling: A project to support the ramp-up of the hydrogen infrastructure
The transport and mobility sector is responsible for nearly one quarter of all global energy-related greenhouse gas emissions. The project ‘Hydrogen Technology Business Process Management Modeling’, focuses on the ramp-up of hydrogen infrastructure, which is fundamental to enabling e.g. fuel cell vehicles for a wider variety of use cases. To accelerate the development of hydrogen infrastructure for transport and mobility purposes, it is essential to simplify the processes involved.
There is an inherent complexity which can be seen, for example, in the approval processes required by German law. Here, different legal bases apply, depending on the specific configuration of the infrastructure design. Approval processes, e.g. of hydrogen filling stations, but other processes in mobility and logistics also, are information heavy. Here, the flow of information between different stakeholders and systems is of great importance. The project aims at solving the problems mentioned above by examining the approval process for a hydrogen filling station exemplary for hydrogen related process in order to develop a standardized approach for applicants and approval authorities and to develop a modelling procedure that allows administration processes to be optimized and simplified through information technologies.
The scientific approach of the project involves the use of different methods like morphological analysis, document analysis, standard BPMN Modeling and the Function Analysis System Technique to clarify the complexity and challenges within this use case.
This track will give researchers a platform to present the actual results of their work and discuss it with the conference participants.
Prof. Dr.-Ing. Benjamin Wagner vom Berg, University of Applied Sciences Bremerhaven
Please contact the organizer in case you are not sure whether your working topic is of interest for this special track!
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