Chayan, Md Mahmudul Huque
(2019)
Travel Characteristics-Based Parking Demand Models for Institutional Urban Areas.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Parking demand estimation is a complex topic. Traditionally, land use patterns are used as independent variables for estimating parking demand, which is useful for predicting parking generation for specific land use types such as commercial, industrial and institutional areas where there is little or no non-auto travel opportunities. But for urban institutional areas travel characteristics could be more influenced by other independent variables, in addition to land use only, to estimate peak weekday parking demand. In addition, to maximize the utilization of parking resources, off-peak parking demand estimates also are needed in an urban environment to management facilities.
The hypothesis of this research is, “As an alternative to using traditional parking demand models, travel characteristics-based data should give more accurate estimations of parking generation for a shared institutional urban area”. Travel characteristics such as auto occupancy, mode split of institutional staffs, students and visitors, cost of parking and temporal/geographic distribution of demand should be used as independent variables in parking demand models. These types of non-traditional land use areas are difficult to predict with accuracy, parking demand, based on the land use type and building areas alone. This research determined if a more accurate methodology and model can be developed to estimate parking demand and compare it to supply, based upon the relationship between the consumers’ travel characteristics with measured parking utilization.
The Oakland institutional area of the City of Pittsburgh was used to test the methodology. This large institutional area has all the needed characteristics of a University and commercial district that requires a complex parking demand model for analysis along with significant transit accessibility. The model was used to test different scenarios of the parking supply and demand such as improved transit accessibility, growth of the institutions or changes in demand management policies.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
| Creators | Email | Pitt Username | ORCID  |
|---|
| Chayan, Md Mahmudul Huque | mdc93@pitt.edu | mdc93 | |
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| ETD Committee: |
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| Date: |
23 January 2019 |
| Date Type: |
Publication |
| Defense Date: |
14 November 2018 |
| Approval Date: |
23 January 2019 |
| Submission Date: |
9 November 2018 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
118 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Civil and Environmental Engineering |
| Degree: |
MS - Master of Science |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
Parking Demand Model, Travel Characteristics |
| Date Deposited: |
23 Jan 2019 15:46 |
| Last Modified: |
23 Jan 2019 15:46 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/35481 |
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