Context Sensitive Design for WTS
Are these streets an untapped opportunity for neighborhood revitalization or simply a lost cause? How can transportation professionals impact the function and form of streets to efficiently move person and goods while at the same time protecting or in many cases creating a sense of place along the way?
Guest speakers answering these questions were Dan Burden of Glatting Jackson, Brian Bochner of the Texas Transportation Institute, and Jim Charlier of Charlier Associates.
- Dan’s presentation on “Walkability” introduced the concept of CSS and addressed details of place making, complete streets and multi-modal intersections.
- Brian’s presentation, entitled “Context Sensitive Solutions: A Process to Achieve Better Results,” focused on an example from Fort Worth, TX, and introduced the new CNU/ITE manual.
- Jim’s presentation, entitled “Great Streets: Beyond Traffic Capacity,” addressed why so many of our streets are not great, what makes a street great, and why should we care.
(Scroll to the bottom of the page for PDFs of the presentations)
Following the presentations, the seminar’s Q&A focused on related topics of road diets, economic development indicators and complete streets policies. Links to studies and publications referenced by the speakers are provided below:
- Article on road diet experiences from several cities nationwide, from Walkable Communities
- Safety results of implementing road diets, from the Iowa DOT
- The economic benefits of walkable communities, from the Local Government Commission
- The latest on multi-modal approaches and complete street policies, from the national Complete Streets Coalition
- Charlier Associates’ Great Streets website created for East-West Gateway in St. Louis, MO
- APA’s list of streets that are Great Places in America
- Where to obtain the ITE/CNU “Blue Book” on Context Sensitive Design bound hard copy or PDF
Presentations
Burden_-_Context_Sensitive_Solutions.pdf | 33.09 MB | |
Bochner_-_WTS_Denver_020108.pdf | 2.30 MB | |
Charlier_-_Great_Streets.pdf | 33.45 MB |