Design decisions in the RideNow project
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
CarLoop: leveraging common ground to develop long-term carpools
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Towards a probabilistic time geography
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Decentralized time geography for ad-hoc collaborative planning
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
Anchor uncertainty and space-time prisms on road networks
International Journal of Geographical Information Science
Directed movements in probabilistic time geography
International Journal of Geographical Information Science
Proceedings of the 11th Biennial Participatory Design Conference
The elements of probabilistic time geography
Geoinformatica
Tensions in developing a secure collective information practice - the case of agile ridesharing
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
DPPI '11 Proceedings of the 2011 Conference on Designing Pleasurable Products and Interfaces
Noah: a dynamic ridesharing system
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
T-share: A large-scale dynamic taxi ridesharing service
ICDE '13 Proceedings of the 2013 IEEE International Conference on Data Engineering (ICDE 2013)
Visual Analytics of Movement
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Existing ride sharing systems for commuting in urban environments are rigid. They rely on the communication of discrete, spatio-temporal constraints from both vehicle and client to perform ride-matching. From a client user perspective these approaches are problematic, leading to location-privacy issues and the use of additional communication channels for ad-hoc negotiation which cannot be immediately quantified. To account for these aspects, we develop a dynamic, intuitive interface technique called launch pads and a centralized system architecture, which together simplify the ride-matching process whilst preserving location-privacy. The results of two experiments reveal the latent potential existing within ride sharing systems if vehicle flexibility is quantified and incorporated into a representation of accessibility. The communication via launch pads provides a client with means to fully exploit this potential.