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Atlanta, GA, United States

Oliveira M.G.S.,GeoStats LP | Casas J.,NuStats
Transportation Research Record | Year: 2010

Transit agencies conduct origin-destination on-board surveys periodically to gather information regarding travel patterns and demographic data of their users and to collect customer satisfaction information. These surveys constitute a highly valuable means of obtaining important information on an agency's customers to provide a basis for effective transit planning and for regional travel demand modeling efforts. This paper describes the application of innovative technologies in the data collection process to improve data quality, data completeness, and data collection management. This includes the simultaneous collection of boarding and alighting count data at the stop level using Global Positioning System-enabled personal digital assistants, association of distributed surveys to boarding locations, and a web-based sample and productivity management system. These technologies allow for automatic collection of boarding location, arrival and departure times, and transit trip times. An imputation procedure was developed to derive the most likely alighting location of each collected sample. Joint application of these technologies reduces survey length and thereby minimizes respondent burden. Source

Simas Oliveira M.G.,GeoStats LP | Vovsha P.,Parsons Brinckerhoff | Wolf J.,GeoStats LP | Birotker Y.,Jerusalem Transportation Master Plan Team | And 2 more authors.
Transportation Research Record | Year: 2011

The paper describes recent experience with the application of an innovative Global Positioning System (GPS)-assisted prompted recall (PR) method for a large-scale household travel survey (HTS) in Jerusalem, Israel. The survey was designed to support development of an advanced activity-based model (ABM). The requirements for an HTS to support an advanced ABM are discussed, and the corresponding decisions for survey methods are substantiated. Development of an advanced ABM requires individual records for the entire daily pattern without gaps, missing trips, overlaps, or other data inconsistencies found in a conventional HTS. A consistent record of joint activities and trips of multiple household members is essential. In addition, high levels of spatial and temporal resolution are required. The GPS-assisted PR survey has been identified as the most promising methodology for meeting these requirements. The experience of the first phase of the Jerusalem HTS in 2010 proved the feasibility of the GPS-PR method for all population sectors including specific Orthodox Jewish and Arab populations, which typically featured large household sizes. Various structural comparisons of trip and tour rates obtained during the first phase of the Jerusalem GPSassisted HTS (3,000 households) with the non-GPS surveys previously implemented in Jerusalem and several metropolitan regions in the United States as well as comparisons between the GPS and non-GPS subsamples within the Jerusalem HTS were made. The results confirmed the ability of the GPS-PR approach to create full and consistent daily records of individual activity travel patterns and practically eliminate the underreporting issues that have plagued HTS. Source

Bachman W.,GeoStats LP | Oliveira M.,GeoStats LP | Xu J.,GeoStats LP | Sabina E.,Denver Regional Council of Governments
Transportation Research Record | Year: 2012

Regional performance metrics for traffic congestion typically rely on facility-based measurements and forecasted regional impacts. Global Positioning System (GPS) travel data from household travel surveys or panel studies can provide an alternative source of performance data that characterize the specific experiences of households in the region. Such data can also supplement regional performance data for congestion management programs and can be directly related to the experiences of the region's residents and the development of livability and mobility standards. GPS travel data from the 2010 Front Range Counts Travel Survey were used to generate vehicle travel performance metrics in the Denver, Colorado, area. At the regional and household levels, statistics regarding travel time index, number of stops, and overall delay were calculated. This new approach is compared with standard congestion measurement practice to highlight advantages and disadvantages. This supplemental household approach provides planners and policy makers with insights that can guide mitigation strategies and investment plans. Source

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