TY - GEN

T1 - Towards Sustainable Transport

T2 - 16th International Conference on Business Information Systems Engineering, WI 2021

AU - Heumann, Maximilian

AU - Pump, Richard

AU - Breitner, Michael H.

AU - Koschel, Arne

AU - Ahlers, Volker

N1 - Funding Information: In a more recent review, Dolati et al. further emphasize the importance of decision support for city authorities in the context of urban logistics and point out the relevance of stakeholder involvement [10]. The initiative “Urban Transport Roadmaps” funded by the European Commission, developed a web-based DSS for urban transport. The project group implemented an informative platform for city authorities to evaluate future mobility scenarios in urban areas in a time horizon up to 2030, allowing the comparison of different urban structures and a selection of measures for urban transport. The quantified effects of various measures (e.g. car sharing, prioritized public transport) are based on modeling future macroeconomic trends. The project parties do not consider any microscale traffic effects of logistics concepts in city districts. The portfolio of measures is limited to regulatory actions and mobility services. Their web-tool thereby aims at a different use-case, showing detailed traffic development predictions for entire cities instead of predicted impacts of novel logistics concepts on traffic on a city district scale [11]. Funding Information: The first step in creating the DSS was creating a database containing the KPI impacts of logistics concepts on the representative district types. To create the database, three steps were executed within the collaborative project USEfUL: (1) the identification of projects and concepts for sustainable urban logistics, (2) the definition of simulated logistics concepts and scenarios and (3) the acqusisition of domain knowledge through expert assisted simulations. The process was supported by experts from the automotive sector, parcel delivery services, and urban transport planning. Figure 2 shows the process from data collection to results analysis.

PY - 2021/10/16

Y1 - 2021/10/16

N2 - Global urbanization for decades has led to unprecedented levels and growing demands for urban logistics. Thus, problems such as congestion, environmental noise, and urban sprawl are growing. As a result, many cities face problems of optimal decision-making regarding green and sustainable smart transportation systems and infrastructures. However, various possible measures and logistics concepts are available to improve urban logistics, while effects are unclear and difficult to predict. To meet the growing need for future-oriented decisions by city authorities, we developed a decision support system prototype that allows a strategic simulation-based evaluation of different logistics concepts regarding defined targets, e.g., pollutant emissions, traffic flow, space requirements, or economic efficiency on a city district level. An expert system for the strategic evaluation of logistics concepts on a city district level is integrated to achieve transferability and scalability.

AB - Global urbanization for decades has led to unprecedented levels and growing demands for urban logistics. Thus, problems such as congestion, environmental noise, and urban sprawl are growing. As a result, many cities face problems of optimal decision-making regarding green and sustainable smart transportation systems and infrastructures. However, various possible measures and logistics concepts are available to improve urban logistics, while effects are unclear and difficult to predict. To meet the growing need for future-oriented decisions by city authorities, we developed a decision support system prototype that allows a strategic simulation-based evaluation of different logistics concepts regarding defined targets, e.g., pollutant emissions, traffic flow, space requirements, or economic efficiency on a city district level. An expert system for the strategic evaluation of logistics concepts on a city district level is integrated to achieve transferability and scalability.

KW - Data-driven government

KW - Decision support system

KW - Expert system

KW - Liveable city

KW - Urban logistics

UR - http://www.scopus.com/inward/record.url?scp=85118193949&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-86790-4_25

DO - 10.1007/978-3-030-86790-4_25

M3 - Conference contribution

AN - SCOPUS:85118193949

SN - 9783030867898

VL - 1

T3 - Lecture Notes in Information Systems and Organisation

SP - 367

EP - 381

BT - Innovation Through Information Systems

A2 - Ahlemann, Frederik

A2 - Schütte, Reinhard

A2 - Stieglitz, Stefan

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 9 March 2021 through 11 March 2021

ER -