Critical Success Conditions of Collaborative Methods: A Comparative Evaluation of Transport Planning Projects

This paper compares methods, processes and instruments of collaborative planning, applied in different cultural and political contexts, in order to derive critical success conditions for collaborative planning in the area of urban transportation. Hypothesis building is based on a comparative, empirical research design, rather than on deductive theory construction. Based on five urban transport planning projects in Gothenburg (Sweden), London (United Kingdom), Milwaukee (United States), Tokyo (Japan) and Mexico City (Mexico), a rough set analysis of the five cases reveals validated success conditions, which can be used for formulating hypotheses for further research or for policy and process improvement. The results suggest that a dedicated management of the multi-actor network, a high diversity of actors, as well as an extensive use of knowledge integration methods in combination with a high network density are critical success conditions of these planning processes. The extensive use of unilateral methods also appeared to be an important success condition. The traditional role of the planner will have to be complemented with the expertise of network and methodology management. These findings also indicate that the application of rough set analysis to the comparative evaluation of planning processes can be a valuable addition to lessons drawn from single, in-depth case studies.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00494488
• Authors:
  • Walter, Alexander I
  • Scholz, Roland W
• Publication Date: 2007-3

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 195-212
• Serial:
  • Transportation
  • Volume: 34
  • Issue Number: 2
  • Publisher: Springer
  • ISSN: 0049-4488
  • EISSN: 1572-9435
  • Serial URL: http://link.springer.com/journal/11116

Subject/Index Terms

• TRT Terms: Alternatives analysis; Case studies; Cooperation; Evaluation; Knowledge; Methodology; Planning methods; Transportation planning; Urban transportation
• Uncontrolled Terms: Rough set analysis
• Geographic Terms: Goteborg (Sweden); London (England); Mexico City (Mexico); Milwaukee (Wisconsin); Tokyo (Japan)
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01046583
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Apr 12 2007 11:00PM