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PREDICTING PARK-AND-RIDE PARKING DEMAND

Usamah Abdus-Samad, William L. Grecco

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Abstract

This study is concerned with the determination of design criteria for prediction of parking demand at park-and-ride facilities in medium-to-large cities in the United States. Ninety-three change-of-mode parking facilities in 10 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 operating 73 rail and 20 bus facilities. The change-of-mode demand is estimated through a prediction equation developed by linear regression analysis. The prediction 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.

About this research paper

What this paper is about

This study is concerned with the determination of design criteria for prediction of parking demand at park-and-ride facilities in medium-to-large cities in the United States. Ninety-three change-of-mode parking facilities in 10 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 operating 73 rail and 20 bus facilities. The change-of-mode demand is estimated through a prediction equation developed by linear regression analysis. The prediction 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 parking demand at park-and-ride facilities in medium-to-large cities in the United States. Ninety-three change-of-mode parking facilities in 10 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 operating 73 rail and 20 bus facilities. The change-of-mode demand is estimated through a prediction equation developed by linear regression analysis. The prediction 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: Park and ride, Transport engineering, Mode (computer interface), Regression analysis, Transit (satellite), Trip generation, Demand forecasting, Public transport

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