The use of Global Positioning Systems (GPS) technology has been a key component in NOACA’s recent Household Travel Surveys (HTS). It achieves a high level of accuracy in data quality and provides rich information on travel distance, speed, and route of survey samples. An exclusively GPS-based HTS expands opportunities to exploit the datasets with the aid of ArcGIS visualization tools, ArcGIS analytical tools, and/or data mining techniques. Additional applications beyond use in traditional travel demand modeling will help gain support for this expensive data collection activity.

The data for this study comes from the 2012-2013 Northeast Ohio Regional Household Travel Survey. The Northeast Ohio Areawide Coordinating Agency (NOACA), in partnership with the Ohio Department of Transportation, collected more than 4,250 households’ travel data using personal GPS devices in the counties of Cuyahoga, Geauga, Lake, Lorain, and Medina in Ohio. This GPS-based data provides not only a comprehensive picture of region’s travel pattern, but also a detailed track of every sampled trip for all travel modes and all work and non-work trip purposes with associated socioeconomic characteristics.

This study will present applications of GPS datasets obtained from HTS that will highlight data-driven implications for transportation planning. First is to assign GPS point data to the highway network and find the most traveled corridors in terms of frequency of trips traveled and diversity of modes. Second is to utilize ArcGIS Spatial Analyst to summarize spatial patterns of trips ends, realized route choices, and rail speeds. Third is to use the GPS datasets as an alternative data source to come up transit travel time delay to driving travel times. Findings from the results of these applications will contribute to a multi-modal congestion management analysis, a regional transportation study, and travel demand modeling at both the regional and local level.