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American Journal of Innovative Research & Applied Sciences
| ISSN: 2429-5396 (e) | www.american-jiras.com | |
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| | ARTICLES | Am. J. innov. res. appl. sci. Volume 8, Issue 3, Pages 75-83 (March 2019) |
| Research Article |
American Journal of innovative
Research & Applied Sciences
Research & Applied Sciences
ISSN 2429-5396 (Online)
OCLC Number: 920041286
OCLC Number: 920041286
| MARCH 8 | N° 3 | 2019 |
Authors Contact
*Correspondant author and authors Copyright © 2019: | Marwane Benhadou |
*Correspondant author and authors Copyright © 2019: | Marwane Benhadou |
Affiliation.
Abdelmalek Essaadi University | Laboratory of innovative technology | Tangier | Morocco |
Abdelmalek Essaadi University | Laboratory of innovative technology | Tangier | Morocco |
This article is made freely available as part of this journal's Open Access: ID | Marwane-ManuscriptRef.1-ajira250219 |
ABSTRACT
Background: The increasingly scarce spaces in urban center, with the progressive growth of the car fleet, insist on more effective and efficient parking management. Which it has a direct impact in reducing congestion, improving urban circulation and life quality of citizens. Therefore, a simple parking management does not lead to a satisfactory result, it is not easy to analyze parking demand, this requires an intensive field work to quantify the level of demand, even more for large study area. Objectives: In this paper we will study the parking policy in the center of Tangier city. We analyze the study area, for more efficient data collection, we use operational research algorithms, analyzing both on-street and parking lots (off-street). The objective is determining the blue zone impact on the parking demand and develops parking state indicators. Methods: To carry out the process of data collection we model the study area as a graph, to identify each section, and then we use operational research algorithms (CPA, Chinese Postman Algorithm) to facilitate and optimize the counting of cars on public roads. Results: Data collection refers to the number of places available on the public road, on-street and parking lots in each segment of the graph, during peak hours of the day (9h, 13h, 17h, 19h). The result will be the level of demand in each section, and the level of parking illegalities. A table summarizes the indicators related to parking, offer-demand of places, the rate and type of illegalities. Also development of indicators summarized in tables show a comparison between the demand state of parking before and after applying bleu zone. Conclusions: The use of an algorithm to optimize data collection, facilitates the field work and spent less energy and time. The results show a high demand for parking before using blue zones. The first experience in Tangier city using blue zone, shows positive results in decreasing demand on parking, increase rotation rate, leaves more places to park and the demand is more rational.
Keywords: Parking policies, Chinese Postman Algorithm, Mobility in Tangier.
Background: The increasingly scarce spaces in urban center, with the progressive growth of the car fleet, insist on more effective and efficient parking management. Which it has a direct impact in reducing congestion, improving urban circulation and life quality of citizens. Therefore, a simple parking management does not lead to a satisfactory result, it is not easy to analyze parking demand, this requires an intensive field work to quantify the level of demand, even more for large study area. Objectives: In this paper we will study the parking policy in the center of Tangier city. We analyze the study area, for more efficient data collection, we use operational research algorithms, analyzing both on-street and parking lots (off-street). The objective is determining the blue zone impact on the parking demand and develops parking state indicators. Methods: To carry out the process of data collection we model the study area as a graph, to identify each section, and then we use operational research algorithms (CPA, Chinese Postman Algorithm) to facilitate and optimize the counting of cars on public roads. Results: Data collection refers to the number of places available on the public road, on-street and parking lots in each segment of the graph, during peak hours of the day (9h, 13h, 17h, 19h). The result will be the level of demand in each section, and the level of parking illegalities. A table summarizes the indicators related to parking, offer-demand of places, the rate and type of illegalities. Also development of indicators summarized in tables show a comparison between the demand state of parking before and after applying bleu zone. Conclusions: The use of an algorithm to optimize data collection, facilitates the field work and spent less energy and time. The results show a high demand for parking before using blue zones. The first experience in Tangier city using blue zone, shows positive results in decreasing demand on parking, increase rotation rate, leaves more places to park and the demand is more rational.
Keywords: Parking policies, Chinese Postman Algorithm, Mobility in Tangier.
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DEVELOPMENT OF A METHODOLOGY TO STUDY PARKING DEMAND IN TANGIER CITY
| Marwane Benhadou |. Am. J. innov. res. appl. sci. 2019; 8(3):75-83.
| PDF FULL TEXT | | XML FILE | | Received | 10 February 2019 | | Accepted | 03 March 2019 | | Published | 12 March 2019 |
| Marwane Benhadou |. Am. J. innov. res. appl. sci. 2019; 8(3):75-83.
| PDF FULL TEXT | | XML FILE | | Received | 10 February 2019 | | Accepted | 03 March 2019 | | Published | 12 March 2019 |