Trip Rates and Parking Requirements for Restaurants and Coffee Shops in Amman-Jordan

• Published in: International journal of innovative technology and exploring engineering 2019-12, Vol.9 (2), p.2898-2901
• Main Author: Shehadeh, Eman A.
• Format: Article
• Language: English
• ISSN: 2278-3075; 2278-3075
• DOI: 10.35940/ijitee.B7484.129219

The aim of this Study is to provide the parking requirements and vehicles trips models using linear regression, which is able to predict the trip - attracted to restaurants and coffee shops in Amman- Jordan. A total of thirteen restaurants and coffee shops were surveyed, where the number of vehicles which enter a restaurant or coffee shop during peak hour within a 15-minute time interval, during the period between 15th of May 2016 and 15th of July 2016, for two days of the week between (12:00 PM - 12:00 AM), were counted. Further, it relates the trip attraction of the restaurants and coffee shops as a function of the characteristics of the collected data. Utilizing the data collected the characteristics of the selected restaurants and coffee shops have been thoroughly studied, where the correlation and regression analysis were performed. The study showed that the multiple linear regression model with the independent variables of gross floor area, number of floors, quality of service, and number of employees, more certainly the gross floor area, with the R2 value of 0.86, gives the best estimate of peak trip attraction and parking requirements. Also, a 2.36 parking spaces per 1,000 GSF determined in this study by simple linear regression with R^2 of 0.65. Those models shall be of great use for estimating the trips attracted and parking requirements for a new or existing restaurants and coffee shops in Amman, and therefore helps to assess the traffic impact of the restaurants and cafes on the geometric design of roadways in the surrounding areas.