METHODS AND MODELS FOR PUBLIC-PRIVATE PARTNERSHIPS

Although a precedent exists for public-private partnerships in Europe and Japan, these alliances have not been a part of United States tradition. The emergence of intelligent transportation systems (ITS) represents a ripe opportunity for recreating this paradigm as mutual benefits for partners become evident. However, since they remain difficult to construct, models such as Moss Kanter's form a powerful base from which to build better partnerships, particularly since they allow participants to anticipate institutional challengers. The case studies described in this paper represent an initial validation of this model for ITS, which likens partnership formation to interpersonal relationship development. The model was found to represent the partnership formation process in general, as well as revealed characteristics unique to ITS-setting. Findings specific to ITS include the value of transportation "insiders", unique governance and authority challenges, and the critical role of a mediator. Although not noted in the original model, a final stage of divorce and remarriage also is applicable to ITS. Together these findings demonstrate the flexibility of this model, as well as point to new methods for bridging inevitable differences. Using these models as a tool, it appears that the number of successful ITS partnerships still in their infancy will help set a course for a new era of collaboration.

  • Supplemental Notes:
    • Five volumes of papers and one volume of abstracts comprise the published set of conference materials.
  • Corporate Authors:

    VERTIS

    TORANOMOM 34 MORI BUILDING 1-25-5
    TORANOMON, MINATOKU, TOKYO 105  Japan 
  • Authors:
    • Peterson, C N
    • Olson, D S
  • Conference:
  • Publication Date: 1995-11

Language

  • English

Media Info

  • Pagination: p. 2293

Subject/Index Terms

Filing Info

  • Accession Number: 00724493
  • Record Type: Publication
  • Report/Paper Numbers: Volume 5
  • Files: TRIS
  • Created Date: Sep 2 1996 12:00AM