Tag Archives: haasz

Determining the Viability of a Demand-Responsive Transport System under Varying Demand Scenarios

Ronald, N., Thompson, R., Haasz, J., Winter, S. (2013), Determining the Viability of a Demand-Responsive Transport System under Varying Demand Scenarios, 6th ACM SIGSPATIAL International Workshop on Computational Transportation Science. ACM, Orlando, Florida, USA.

Collaborative transportation has been proposed as a potential solution to decrease congestion, reduce environmental effects of transport, and provide transportation options to those with no or restricted travel options. One such system is demand-responsive transport, in which passengers share a vehicle, usually a bus, but can be picked up or dropped off at a passenger-specified location and time. However, as these systems are expensive to implement and require long trials in order to gain traction, effective simulation is required in order to explore their viability before implementation. Although previous work has concentrated on the number of trip requests, the spatial distribution of these requests has not been considered. This paper explores four spatially-varying demand patterns — random, a many-to-one scenario, all short distance trips, all long distance trips — using a simulation of an ad-hoc demand-responsive bus system. It is shown that along with the number of trip requests and the requested trip distances, the spatial distribution of passengers does indeed have an effect on the level of service.

Please contact one of the authors for a copy.

ACM SIGSPATIAL GIS 2013, 5-8 November

Professor Stephan Winter and Michael Rigby will be attending the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (known in short as ACM SIGSPATIAL GIS 2013) in Orlando, Florida, USA.

Michael will be presenting his work on a client user interface to support centralized ride share planning in the main track of the conference, while Stephan will be presenting a paper undertaken with Dr Nicole Ronald, Dr Russell Thompson, and John Haasz on demand-responsive transportation viability in the 6th ACM SIGSPATIAL International Workshop on Computational Transportation Science.