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Data Analysis Parking

Posted by aditya | 1:37 PM | , | 2 comments »



Data analysis includes summarize parking, coding, and self-interpretasian data, hence the relevant information are advised to make a decision. Relevant information includes:
1) The number and duration of parked vehicles that were legal.
2) The number and duration of vehicles parked illegally.
3) The demand for parking space hour.
4) Parking facilities are available.

Analysis is needed to obtain information on the first two items to be simple and usually involves a simple and statistics. Data obtained from these items is then used to determine the parking space hours. Efficiency factor f is used to fix the time lost in each turnover. This determines the basic operation of the best performance expected from a parking facility. Efficiency factor should be determined for different types of parking facilities, eg, surface lots, Curb parking and garage. Efficiency factor for the cub parking during the highest demand, varies from 78% to 96% and for surface lots and garages from 75% to 92%. The average value of f is: 90% to Curb parking, 80% for the garage, and 85% for surface lots.

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Title Post: Data Analysis Parking
Rating: 100% based on 99998 ratings. 5 user reviews.
Author: aditya