Integrated Transportation and Land Use Scenario Modeling by Visual Evaluation of Examples

Transportation Research Record: Journal of the Transportation R

2015

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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.

Section: Spi-f2f Public Meetingmentioning

confidence: 90%

High-Performance Public Involvement

Bailey

Transportation Research Record: Journal of the Transportation R

2015

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“…The effective partitioning of the decision envelope provides higher-quality process and data for citizens and project management. This is one of the reasons for the high documented process satisfaction of SPI (e.g., [79][80][81][82][83][84][85][86].…”

Section: Examples Of Processes That Address Procedural Justice Issues For Ejmentioning

confidence: 99%

Toward Environmental Justice in Transportation Decision Making with Structured Public Involvement

Bailey

Transportation Research Record: Journal of the Transportation R

2012

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Environmental justice (EJ), in the form of distributional justice, is mandated by a 1994 Executive Order. However, EJ is not easily achieved. EJ research can be divided into identification and mitigation strategies. EJ mitigation strategies intersect with public involvement, which in transportation has a long, and often controversial, history. This paper examines how a philosophy based on John Rawls’ theories of procedural justice and access to justice can address the need to achieve distributional justice. To improve procedural justice, the authors examine how effective large-group processes can deliver high-performance public involvement. Methodological barriers and the role of technologies such as electronic polling and visualization are discussed. The authors propose four process metrics for public involvement. On the basis of data on structured public involvement projects, the authors argue that such processes enhance procedural justice and thereby address specific EJ aims. These data illustrate that realizing this potential improvement will require a philosophical shift to a higher Arnstein ladder level, the identification and use of appropriate methodologies for involving large groups, and the integration of their valuations into effective decision support systems.

“…Dynamic visual evaluation using CAVE has previously demonstrated high performance for design support in large-scale planning and infrastructure applications such as noise wall design (Bailey et al 2006); context-sensitive large bridge design ; community-driven visioning for transit-oriented development ; and integrated transportation and land use planning (Blandford et al 2008).…”

Section: Similarities and Differences With Respect To Previous Cave Amentioning

confidence: 99%

Casewise Visual Evaluation for High-Performance Collaborative Visioning of PGDP Nuclear Enrichment Plant End State

Bailey¹,

World Environmental and Water Resources Congress 2010

et al. 2010

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This article describes the adaptation of the authors' Structured Public Involvement, or SPI, framework for community involvement in the end-state visioning process for the PGDP facility. The SPI framework is designed to elicit community values and provide access to these as a decision support system for the development of feasible, legitimate, and durable end-state management plans. This SPI protocol is designed around community evaluation of visualizations. Key properties of visual evaluation methods for large group visualization are discussed and the Casewise Visual Evaluation method is outlined. CAVE uses a fuzzy logic based neural network modeling approach to build a knowledge base for community preferences across all feasible end-state scenarios. The potential PDGP end-state land-use properties developed from focus group work are integrated into a sample range of dynamic visualizations and the sampling protocol is described. Preliminary results will be presented at the conference.