2009 Ohio GIS Conference
Presentation Abstract and Biography

Central Ohio Bike Users Map

Bernice Cage, MORPC

An employee of the Mid-Ohio Regional Planning Commission for twenty years, Bernice developed the Regional Bikeway that is part of MORPC’s 20-year regional transportation plan. Bernice has authored several Best Practices for communities and bicyclists. Bernice Cage, a graduate of The Ohio State University, has been a resident of Franklin County for over 20 years. She is a member of the League of American Bicyclists, Association of Pedestrian and Bicycle Professionals, International Associatio

Cheri Mansperger, MORPC

Cheri has worked for MORPC for 10 years as a GIS Specialist. She has a degree in Geography and has been working in the GIS field for more than 20 years.

Thursday, September 17, 2009 - 9:50 AM - Track 4

MORPC developed a “bike users map” of the greater Columbus area for the City of Columbus and Consider Biking. The map was generated through GIS by assigning “bicycle friendliness” factors to road segments using a published Bike Level of Service (BLOS) model. The original model was a statistically validated model that incorporated speed limits, lanes of travel, traffic volumes, truck traffic, pavement conditions and shoulder widths. The model application was not pure due to limited time and resources to collect accurate data, but the GIS exercise produced a starting point for the expert biking community to have a quantitatively produced map to review. MORPC “borrowed” data from other sources including the ODOT road inventory and the MORPC travel demand model. Quality assurance measures were followed to assure the best results of data transfer. Initial model results did not produce uniformly reasonable results. MORPC post-processed the model results by assigning normalized scores from 0 to 1 to each variable of each segment, and then combining them into one score for each segment using weighted factors. The weights for the four scores were based on a non-scientific survey MORPC conducted to solicit levels of importance of the bike friendliness variables. The segments were assigned Good, Moderate, or Poor based on their value. Finally, workshops were conducted with bicyclists to check the map for validity based on their own real biking experience.