Article ID: | iaor1999778 |
Country: | United Kingdom |
Volume: | 5C |
Issue: | 6 |
Start Page Number: | 349 |
End Page Number: | 369 |
Publication Date: | Dec 1997 |
Journal: | Transportation Research. Part C, Emerging Technologies |
Authors: | Nyerges Timothy L., Montejano Robb, Oshiro Caroline, Dadswell Matthew |
Keywords: | artificial intelligence: decision support, decision: applications |
Transportation improvement site selection exemplifies transportation decision making that is collaborative in nature and geographically based. Such decision-making is part of a broad societal trend toward shared and participatory discussions about public investment. Perspectives from three different transportation decision contexts in the Puget Sound Region of Washington State, a regional council, a county government and a public–private Coalition group, are combined with a literature review to develop a decision task model that summarizes the need for information technology support during transportation improvement site selection. The task model guides the development of a decision support system requirement specification that outlines integrated information capabilities provided by geographic information system (GIS) and group support system (GSS) technologies. Together, GIS and GSS capabilities contribute to evolving group-based GIS. The kinds of capabilities a group-based GIS could offer in addressing the needs are identified. A report on the use of a prototype, group-based GIS called Spatial Group Choice highlights the possibilities in an inter-organizational coalition decision context. The conclusions discuss needs for future technology developments and social–behavioral science studies on these developments.