D3: Data and GIS in Transportation Planning
Thursday, April 25, 2019
10:30 a.m. - noon EDT
CM | 1.50Add to My Log
"Do you find the analysis of Census data cumbersome? Before we created a simplified analysis tool, we did too!
During this presentation we'd like to introduce you to a tool that we created to compress over 500 columns of ACS data into four simple categories. We will show you how to access the tool, how to use the tool to perform geographic-specific calculations, and where you can reference the tool's training manual. This session is a must for any organization preparing to update a metropolitan transportation plan or a travel demand model. "
"Travel demand management and multimodal planning are hot topics in transportation planning. But how can public agencies identify the best projects to invest in? What vehicle trips are most likely to convert to other modes if new options are introduced? When every neighborhood is clamoring for better sidewalks, where do you begin? In this session, Kim Harrison of StreetLight Data and Scott Lane of Stantec will answer these questions using geospatial “big data” from mobile devices. They will discuss how beginning the TDM process with real-world big data that represents a large sample of the population has unique advantages – especially as compared to planning with potentially biased data such as resident feedback.
Kim will begin the presentation by describing how seven key transportation analytics can be derived from big data: hourly traffic volumes, TAZ-level origin-destination matrices, trip speed, trip duration, free flow factor, traveler demographics, and trip purpose. Next, Scott will walk through two real-world case studies he conducted for Pinehurst, North Carolina. First, he’ll share a city-wide scan of travel patterns to identify the best opportunities for bike and pedestrian infrastructure projects. Second, he will walk through a corridor-level study to diagnose a particular traffic jam. He will share the travel demand management solutions that, according to big data, have high potential to help combat it.
Kim and Scott will wrap up their discussion by illustrating that big data can save time and resources at the beginning of a project; they’ll also point out false positives that big data can indicate if not used properly. Big data cannot replace, but can greatly complement, other elements of transportation planning and public engagement. By the end of the session, attendees will understand that data alone doesn’t solve problems – planners do. The data can help you get the real-world information you need to solve challenges effectively and efficiently to create TDM solutions and multimodal project opportunities. "
The Durham-Chapel Hill-Carrboro (DCHC) MPO partnered with GeoDecisions to redesign their TIP database and application, as well as incorporate CTP and MTP data into the application. DCHC's redesigned application is map-centric and establishes linkages for projects across the various transportation planning phases, from CTP to final TIP.
Aaron Cain, AICP
Neil Burke, email@example.com