Macroscopic Modeling of On-Street and Garage Parking: Impact on Traffic Performance
The short-term interactions between on-street and garage parking policies and the associated parking pricing can be highly influential to the searching-for-parking traffic and the overall traffic performance in the network. In this paper, we develop a macroscopic on-street and garage parking decisio...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2019/5793027 |
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| author | Manuel Jakob Monica Menendez |
| author_facet | Manuel Jakob Monica Menendez |
| author_sort | Manuel Jakob |
| collection | DOAJ |
| description | The short-term interactions between on-street and garage parking policies and the associated parking pricing can be highly influential to the searching-for-parking traffic and the overall traffic performance in the network. In this paper, we develop a macroscopic on-street and garage parking decision model and integrate it into a traffic system with an on-street and garage parking search model over time. We formulate an on-street and garage parking-state-based matrix that describes the system dynamics of urban traffic based on different parking-related states and the number of vehicles that transition through each state in a time slice. This macroscopic modeling approach is based on aggregated data at the network level over time. This leads to data collection savings and a reduction in computational costs compared to most of the existing parking/traffic models. This easy to implement methodology can be solved with a simple numerical solver. All parking searchers face the decision to drive to a parking garage or to search for an on-street parking space in the network. This decision is affected by several parameters including the on-street and garage parking fees. Our model provides a preliminary idea for city councils regarding the short-term impacts of on-street and garage parking policies (e.g., converting on-street parking to garage parking spaces, availability of garage usage information to all drivers) and parking pricing policies on: searching-for-parking traffic (cruising), the congestion in the network (traffic performance), the total driven distance (environmental impact), as well as the revenue created for the city by the hourly on-street and garage parking fee rates. This model can be used to analyze how on-street and garage parking policies can affect traffic performance; and how traffic performance can affect the decision to use on-street or garage parking. The proposed methodology is illustrated with a case study of an area within the city of Zurich, Switzerland. |
| format | Article |
| id | doaj-art-4d10ce2396ac4a738afe22e1d2e987ea |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-4d10ce2396ac4a738afe22e1d2e987ea2025-02-03T01:10:10ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/57930275793027Macroscopic Modeling of On-Street and Garage Parking: Impact on Traffic PerformanceManuel Jakob0Monica Menendez1Institute for Transport Planning and Systems (IVT), ETH Zürich, Zurich, SwitzerlandAssociate Professor of Civil and Urban Engineering, Division of Engineering, New York University Abu Dhabi (NYUAD), UAEThe short-term interactions between on-street and garage parking policies and the associated parking pricing can be highly influential to the searching-for-parking traffic and the overall traffic performance in the network. In this paper, we develop a macroscopic on-street and garage parking decision model and integrate it into a traffic system with an on-street and garage parking search model over time. We formulate an on-street and garage parking-state-based matrix that describes the system dynamics of urban traffic based on different parking-related states and the number of vehicles that transition through each state in a time slice. This macroscopic modeling approach is based on aggregated data at the network level over time. This leads to data collection savings and a reduction in computational costs compared to most of the existing parking/traffic models. This easy to implement methodology can be solved with a simple numerical solver. All parking searchers face the decision to drive to a parking garage or to search for an on-street parking space in the network. This decision is affected by several parameters including the on-street and garage parking fees. Our model provides a preliminary idea for city councils regarding the short-term impacts of on-street and garage parking policies (e.g., converting on-street parking to garage parking spaces, availability of garage usage information to all drivers) and parking pricing policies on: searching-for-parking traffic (cruising), the congestion in the network (traffic performance), the total driven distance (environmental impact), as well as the revenue created for the city by the hourly on-street and garage parking fee rates. This model can be used to analyze how on-street and garage parking policies can affect traffic performance; and how traffic performance can affect the decision to use on-street or garage parking. The proposed methodology is illustrated with a case study of an area within the city of Zurich, Switzerland.http://dx.doi.org/10.1155/2019/5793027 |
| spellingShingle | Manuel Jakob Monica Menendez Macroscopic Modeling of On-Street and Garage Parking: Impact on Traffic Performance Journal of Advanced Transportation |
| title | Macroscopic Modeling of On-Street and Garage Parking: Impact on Traffic Performance |
| title_full | Macroscopic Modeling of On-Street and Garage Parking: Impact on Traffic Performance |
| title_fullStr | Macroscopic Modeling of On-Street and Garage Parking: Impact on Traffic Performance |
| title_full_unstemmed | Macroscopic Modeling of On-Street and Garage Parking: Impact on Traffic Performance |
| title_short | Macroscopic Modeling of On-Street and Garage Parking: Impact on Traffic Performance |
| title_sort | macroscopic modeling of on street and garage parking impact on traffic performance |
| url | http://dx.doi.org/10.1155/2019/5793027 |
| work_keys_str_mv | AT manueljakob macroscopicmodelingofonstreetandgarageparkingimpactontrafficperformance AT monicamenendez macroscopicmodelingofonstreetandgarageparkingimpactontrafficperformance |