Learn how optimization decision support tools, project selection criteria development techniques, and green infrastructure mapping can better balance the needs of transportation projects with environmental concerns at this webinar sponsored by the Federal Highway Administration (FHWA) and the American Association of State Highway and Transportation Officials Technology Implementation Group.
GIS and Optimization Tools for Linking Transportation and Natural Resource Planning:
An Approach for Optimizing Mitigation in a Fiscally Constrained Environment
Thursday, December 20, 2012, 11:30 am-1:00 pm PST
Register at http://www.nhi.fhwa.dot.gov/resources/webconference/web_conf_learner_reg.aspx?webconfid=25385
This webinar will help participants learn about the application of optimization decision support tools in selecting green infrastructure implementation projects (e.g., land acquisition and/or mitigation) and how this process can identify projects that deliver the best ‘bang for the buck.’ We will discuss the significant benefits that optimization can provide for regulators, land trusts, infrastructure providers, local governments, and conservationists by stretching limited resources to accomplish more on the ground.
This is a follow-up to the June 2011 “Transportation Innovations: Linking Transportation and Natural Resource Planning Through Environmental GIS Tools” (see recording at https://connectdot.connectsolutions.com/n134083201106) that highlighted the experiences of Maryland and Texas. Both states have pioneered GIS planning approaches for transportation to improve environmental outcomes and enhance project delivery. This session will highlight case studies applying optimization as part of the implementation of green infrastructure planning initiatives. We will also review project selection criteria strategies using the Logic Scoring of Preference method for prioritizing implementation opportunities. When used in a collaborative process among transportation and natural resource agencies, optimization tools can be used to guide transportation decisions and deliver high-quality, cost-effective outcomes.