Use of Structured Public Involvement to Identify Community Preferences for a Superfund Site End State Vision

Grossardt, Theodore H.; Ripy, John; Bailey, Keiron

doi:10.1061/41114(371)43

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…This means the Arnstein gap can be addressed by methodological solutions. Similar data have been documented in other cases, such as in urban planning (27), energy infrastructure placement (28), and nuclear plant siting (29). From these data, one principle of good public involvement is that the Arnstein gap should be reduced.…”

supporting

confidence: 74%

High-Performance Public Involvement

Bailey

Grossardt

Ripy

2015

Transportation Research Record: Journal of the Transportation R

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In the light of social and political currents calling for increased accountability for public processes and discussions between federal officials about the performance of the public involvement process, this paper examines public involvement in transportation and develops frameworks for identifying suitable approaches and evaluating outcomes. The aims of this paper are to ( a) foster analytic, evidence-driven discussion between public involvement professionals, project managers, consultants, and other members of the transportation community about process quality metrics and ( b) propose strategies for increasing performance of such processes by developing multidimensional process evaluation frameworks for public involvement design and outcomes. A significant Arnstein gap is identified in the quality of public involvement in transportation. A critical overview of current practice that draws on the literature on public involvement and participation is presented. Using a soft systems approach, the authors frame participation methods in distributive domain and define outcome performance criteria. The authors examine the literature on process performance in environmental management and other participation research and propose four process performance metrics for public involvement: quality, inclusion, clarity, and efficiency. Objective data from projects in structured public involvement are presented. These data illustrate that processes that satisfy these metrics will help to close the Arnstein gap by identifying stronger methodologies for involving large groups of citizens with diverse values, delivering objectively high stakeholder-evaluated process quality, and integrating these valuations into effective decision support systems for project managers and engineers. However, this improvement will require a philosophical shift to a higher level on the Arnstein ladder.

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supporting

confidence: 74%

High-Performance Public Involvement

Bailey

Grossardt

Ripy

2015

Transportation Research Record: Journal of the Transportation R

Self Cite

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“…Thus in 2009, in recognition of the need for community involvement in determining future use scenarios and subsequent cleanup practices for the PGDP, US DOE requested that KRCEE develop and implement a methodology that would solicit and report the values, risk perceptions, and opinions of various PGDP stakeholders (Ormsbee & Hoover, 2010;Grossardt, Ripy & Bailey, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…In 2009, KCREE convened a project team that subsequently identified two related methods as the most promising strategies for achieving project goals (Ormsbee & Hoover, 2010). Structured Public Involvement (SPI), a democratic process that uses anonymous Audience Response Systems (ARS) or similar feedback methods in large-scale public meetings (Grossardt, Ripy & Bailey, 2010), and Community-Based Participatory Communication (CBPC) thus became the methods of choice for the project.…”

Section: Introductionmentioning

confidence: 99%

“…CBPC uses interviews, focus groups, and projective techniques to identify and interact with various community groups with the goal of discovering value systems, risk perceptions, preferences for various facets of the future vision question, and perspectives about cleanup issues. Results from these interactions are then used under SPI to create a broad-based forum interface with the community that can measure preferences for future outcomes as thoroughly and accurately as possible (Grossardt, Ripy & Bailey, 2010).…”

Section: Introductionmentioning

confidence: 99%

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