Modeling Parking Demand in Intense Urban and Academic Environments



Modeling Parking Demand in Intense Urban and Academic Environments

Authors

Brett Wood, P.E., CAPP, Kimley-Horn and Associates, Inc.

Description

Evaluation of modeling applications to measure change in parking demands in urban and academic settings, using price, walking distance, land use, and parking availability. This application has been tested in more than 20 locations throughout the US.

Abstract

This paper will evaluate the use of traditional and non-traditional modeling applications to measure parking demand changes in urban and academic settings. The modeling application, which has been utilized in more than 20 locations throughout the United States, is built on decision matrices that use walking distance, parking price, parking availability, land use mixture, and multi-modal mixture to predict how parking behaviors change with slight changes to these external factors. The presentation and paper will detail the development and testing of the model, as well as its application in urban, campus, transportation, and parking planning settings.

The presentation will center on the use of existing data points within a community to manage and conduct the modeling evaluations. Most of the test case communities were able to utilize data from ongoing parking management, land appraisals, development review, and transportation management to fuel the modeling application. It’s this use of data that provides a unique and dynamic platform for the ongoing management of parking demands.

The presentation and paper will also detail the use of the modeling application in the ongoing Smart Growth and Right Sized Parking movements within the planning and parking industries. The outputs from the modeling application allow the user communities to plan for appropriately sized parking, as well as creating unique parking behavior and generation characteristics to appropriately define parking needs for new developments. The modeling application deviates from traditional supply and demand analyses, allowing its users to better understand the nature of parking and land use decisions within their community.

The evaluation will include case studies of major American cities (Houston, TX; Beverly Hills, CA; Atlanta, GA; Phoenix, AZ) and premier US colleges and Universities (University of Washington, Texas A&M University, Arizona State University). Each case study has a unique application and use of the model, which will be detailed in the presentation, including implementation, testing, and future use of the modeling application.

Publisher

Association for European Transport