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DEVELOPING A GEOGRAPHIC INFORMATION SYSTEM (GIS) TRAVEL DEMAND FORECASTING MODEL FOR LAS VEGAS

P J Shinbein

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Abstract

A geographic information system (GIS)-based regional travel demand forecasting model was developed for Las Vegas, Nevada. The urban transportation planning system (UTPS) four-step planning procedure of trip generation, trip distribution, mode split, and traffic assignment is performed in an integrated GIS environment thereby improving detail and amount of data available to the analyst. A GIS-based forecasting model provides a wide variety of data storage, manipulation, display, and data-refinement capabilities with virtually no capacity limitations. The results are significant improvements in trip generation, distribution, mode choice, and traffic assignment because of spatial accuracy of networks and enriched data sources.

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What this paper is about

A geographic information system (GIS)-based regional travel demand forecasting model was developed for Las Vegas, Nevada. The urban transportation planning system (UTPS) four-step planning procedure of trip generation, trip distribution, mode split, and traffic assignment is performed in an integrated GIS environment thereby improving detail and amount of data available to the analyst. A GIS-based forecasting model provides a wide variety of data storage, manipulation, display, and data-refinement capabilities with virtually no capacity limitations. The results are significant improvements in trip generation, distribution, mode choice, and traffic assignment because of spatial accuracy of networks and enriched data sources.

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Available abstract

A geographic information system (GIS)-based regional travel demand forecasting model was developed for Las Vegas, Nevada. The urban transportation planning system (UTPS) four-step planning procedure of trip generation, trip distribution, mode split, and traffic assignment is performed in an integrated GIS environment thereby improving detail and amount of data available to the analyst. A GIS-based forecasting model provides a wide variety of data storage, manipulation, display, and data-refinement capabilities with virtually no capacity limitations. The results are significant improvements in trip generation, distribution, mode choice, and traffic assignment because of spatial accuracy of networks and enriched data sources.

Key concepts: Geographic information system, Trip distribution, Las vegas, Computer science, Mode (computer interface), Transport engineering, Trip generation, Variety (cybernetics)

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