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Predicting Park 'N Ride Parking Demand : Technical Paper

Usamah Abdus-Samad, William L. Grecco

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Abstract

This study is concerned with the determination of design criteria for prediction of success and parking demand at park 'n ride facilities in medium to large U. S. cities. Ninety-three change of mode parking facilities in ten different cities were used in the study.Data were collected through a mail survey.The report includes an analysis of important physical, operational and locational characteristics of change of mode parking facilities experienced by 26 agencies covering 73 rail and 20 bus facilities.The change of mode demand is estimated through a prediction equation developed by linear regression analysis.Theprediction model was tested for its applicability by using separately supplied data from a committee of the Institute of Traffic Engineers.Input to the model consists mainly of characteristics of the city, the transit system and the location of the parking facility.

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This study is concerned with the determination of design criteria for prediction of success and parking demand at park 'n ride facilities in medium to large U. S. cities. Ninety-three change of mode parking facilities in ten different cities were used in the study.Data were collected through a mail survey.The report includes an analysis of important physical, operational and locational characteristics of change of mode parking facilities experienced by 26 agencies covering 73 rail and 20 bus facilities.The change of mode demand is estimated through a prediction equation developed by linear regression analysis.Theprediction model was tested for its applicability by using separately supplied data from a committee of the Institute of Traffic Engineers.Input to the model consists mainly of characteristics of the city, the transit system and the location of the parking facility.

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Available abstract

This study is concerned with the determination of design criteria for prediction of success and parking demand at park 'n ride facilities in medium to large U. S. cities. Ninety-three change of mode parking facilities in ten different cities were used in the study.Data were collected through a mail survey.The report includes an analysis of important physical, operational and locational characteristics of change of mode parking facilities experienced by 26 agencies covering 73 rail and 20 bus facilities.The change of mode demand is estimated through a prediction equation developed by linear regression analysis.Theprediction model was tested for its applicability by using separately supplied data from a committee of the Institute of Traffic Engineers.Input to the model consists mainly of characteristics of the city, the transit system and the location of the parking facility.

Key concepts: Transport engineering, Computer science, Business, Engineering

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