Statewide Lane Reconfiguration Screening

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Presentation transcript:

Statewide Lane Reconfiguration Screening Samuel Sturtz Transportation Planner Iowa Department of Transportation samuel.sturtz@iowadot.us Photo Credit: Keith Knapp

What is a Reconfiguration Photo Credit: Paul LaFleur FHWA

What do others look like? Photo Credit: Paul LaFleur FHWA

Why consider a reconfiguration? Photo Credit: Paul LaFleur FHWA

Statewide Screening for Lane Reconfiguration Background of Project Peer exchange opportunity Current applications coming online Opportunities to implement Intuition Data driven Photo Credit: Jennifer Atkinson and Paul LaFleur FHWA

Feasibility of Study Factors for determining feasibility Roadway function and environment Overall traffic volume and level of service Turn volumes and patterns Frequent-stop and/or slow-moving vehicles Weaving, speed, and queues Crash types and patterns Pedestrian and bike activity Right-of-way availability, cost and acquisition impacts General characteristics: parallel roadways, offset minor street intersections, parking, corner radii, and at-grad railroad crossings

Limitations of Screening Data Only as good as what is available Scope Entire state limits granularity of analysis Time When talking about scope make sure to say that although it’s a high level of analysis it is effective on identifying candidates

Analysis Structure Data Elements Network screening elements Roadway data elements Number of lanes Median type AADT Major and minor intersections Business and private entrances Additional data elements Signalized intersections Segment level crash data

Phasing of Analysis First Phase: Querying of Data High level screening All segments including 4 lanes No median Two way Varying lengths included AADT Further restricted=<18,000 Make sure that when I mention filtering I am not actually taking candidates out by this process. More ore less flagging them or identifying aspects of them.

Phasing of Analysis Second Phase: Filtering and Calculations Geoprocessing and filtering Intersection Analysis Intersection database Buffer analysis to determine high concentrations of signalized intersections Access Density Calculated field within ArcGIS Per mile basis

Phasing of Analysis Third Phase: Geoprocessing and Aggregation Site Aggregation Dissolving feature within ArcGIS Focused on sites .5 miles or longer Manual Aggregation Disconnected but continuous sites Crash Data Segment level crash data Select by identified locations Aggregate up to corridor potential candidates 5 20

Phasing of Analysis Fourth Phase: Identification of Existing Three-Lane Configurations Secondary Screening Change of query to identify three-lane configurations-(TWLTL) Repeated Phases 1-3 Initial identification was supplemented by two sources Internal spreadsheet of known locations “Iowa’s Experience with Road Diet Measures: Use of Bayesian Approach to Assess Impacts on Crash Frequencies and Crash Rates”-Michael Pawlovich Photo Credit: Charlotte, NC. NCDOT & Paul LaFleur FHWA

Phasing of Analysis Fifth Phase: Quality Control Nothing is perfect Data Visual inspection of each potential candidate and existing three-lane sites Aerial and street view photos This phase resulted in re-aggregation of some selected sites.

Candidate Locations in Des Moines Metro

Transportation Planner Iowa Department of Transportation Samuel Sturtz Transportation Planner Iowa Department of Transportation samuel.sturtz@dot.iowa.gov Photo Credit: Charlotte, NC. NCDOT & Paul LaFleur FHWA