Impacts of a public transport supply on passengers and operators

• Applicant: Professor Dr.-Ing. Markus Friedrich
• Subject Area: City Planning, Spatial Planning, Transportation and Infrastructure Planning, Landscape Planning ; Traffic and Transport Systems, Intelligent and Automated Traffic
• Term: from 2015 to 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 238487308

This subproject aims at developing and applying methods, which support planners in the design of a public transport supply. To achieve this, manmade and algorithmic solutions for test instances (demonstrators) are created and compared. The methods for travel demand modelling and mathematical supply optimisation, which were developed and tested in the first project phase, are extended in the second project phase in such a way that they consider additional requirements coming from a spatial and temporal resolution of supply and demand. The following steps are carried out for this purpose:(1) Modelling of departure time choice, stop choice and capacity constraints in public transport assignment models.(2) Formalisation of typical procedures applied in public transport planning and integration of these procedures in the mathematical optimisation methods.(3) Evaluation of temporal availability, spatial accessibility and capacity violations for the comparison of manmade and algorithmic solutions.Based on the expectation that Mobility-as-a-Service (MaaS) in combination with automated vehicles can offer people attractive travel alternatives, public ridesharing systems will also be examined in the second project phase. MaaS can jeopardize or complement public transport. Based on previous findings, the research proposal assumes that traffic in urban regions will not function without high-capacity means of mass transport. However, mass transport may be supplemented by flexible ridesharing systems. Therefore, the importance of periodic timetables and the limitations of public ridesharing systems are examined.

• DFG Programme: Research Units
• Subproject of: FOR 2083: Integrated Planning for Public Transportation