990
Views
23
CrossRef citations to date
0
Altmetric
Original Articles

Effective Environmental Visualization for Urban Planning and Design: Interdisciplinary Reflections on a Rapidly Evolving Technology

Pages 85-106 | Published online: 13 Aug 2012
 

Abstract

Visioning exercises using computer-based environmental visualization hold significant promise for communicating information and engaging communities in the development and review of planning proposals. The field of visualization research and practice has achieved significant advances in computer technology to the point where it is now possible to represent alternative planning and engineering scenarios with a high degree of photographic realism, data-driven accuracy, and spatial and temporal interactivity. However, the gap in our understanding of what static, video, and agent-based visualization technologies can do and how they should be applied to facilitate rather than frustrate participatory planning has expanded considerably. In the following discussion, the authors discuss the meaning and significance of effective visualization use for urban planning and design. Drawing on developments and principles from related disciplines where visualization tools are developed and applied (e.g., architecture, landscape architecture, resource management, transportation engineering) we present a case for minimum standards in visualization preparation and presentation, the use of “null alternative” scenarios for plan development and review, research to address the “perceptual effectiveness” of video-based formats, and collaborative technology development.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 392.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.