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The project tests the applicability of using Internet-based travel survey tools to collect information regarding transportation activities of individuals within the urban cities in Alabama. These travel data are vital as inputs to develop and improve travel modeling within the state. The travel information collected will be the basis for updating parameters in urban planning models that predict future roadway traffic volumes. Therefore, improving the accuracy of the urban planning models essentially improves the ability to forecast future traffic volumes and allows transportation professional in Alabama to make better decisions regarding investment in new roadway facilities and infrastructure. This report documents the development of the Internet based survey and presents the results of a case study performed for the Calhoun County Metropolitan Planning Organization.
The project tests the applicability of using Internet-based travel survey tools to collect information regarding transportation activities of individuals within the urban cities in Alabama. These travel data are vital as inputs to develop and improve travel modeling within the state. The travel information collected will be the basis for updating parameters in urban planning models that predict future roadway traffic volumes. Therefore, improving the accuracy of the urban planning models essentially improves the ability to forecast future traffic volumes and allows transportation professional in Alabama to make better decisions regarding investment in new roadway facilities and infrastructure. This report documents the development of the Internet based survey and presents the results of a case study performed for the Calhoun County Metropolitan Planning Organization.
Internet Based Travel Surveys
M. D. Anderson (author)
2008
45 pages
Report
No indication
English
Transportation & Traffic Planning , Transportation , Travel time , Surveys , Transportation planning , Transportation systems , Urban areas , Alabama , Traffic volumes , Traffic control , Investments , Information systems , Internet , Data collection , Case studies , Households , Forecasting , Traffic engineering , Trip generation , Traffic delay
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