Difference between revisions of "Car Park Overspill Study PROJECT OVERVIEW"
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====<div style="text-align: justify;">Data Collection</div>==== | ====<div style="text-align: justify;">Data Collection</div>==== | ||
| + | In order to facilitate the understanding of current parking situation, two kinds of data is collected in this project and they are related to Parking Occupancy and Overspill and Human Traffic Count respectively. Each kind of the data is collected island wide. In total of 65 different site data is collected, and the sites include 30 retail malls, 15 retail and F&B clusters, 10 hawker centers, and 10 community clubs. | ||
| + | |||
| + | Parking Occupancy and Overspill data counts the total number of car park lots available on site, off-street parking lots provided by the development, and the number of parking lots inside the public car parks. To collect the data, 3 to 4 Enumerators are assigned to the entrance / exit of the car park. A typical example would be, Enumerator A counts the number of empty lots in the park, Enumerator B notes the number of cars IN and OUT until the intended start of the survey. Hence, the following equation si derived: | ||
| + | the Base Car Park Occupancy (the number of empty lots in the park at the survey time) = number of empty lots in the park - Total IN + Total OUT. | ||
| + | |||
| + | Human Traffic Counts refers to the counting of the number of people that enter and exit a particular development, in order to derive the total number of people within the development at a particular period. Five methods are used for counting, and they are: | ||
| + | #Manual Count | ||
| + | #Line-of-Sight Count by enumerators | ||
| + | #Automated Count using electronic devices | ||
| + | #Snapshot Count | ||
| + | #Sit-Stand Count by roamers | ||
| + | |||
| + | In considering the possible differences of data collected under Peak and Non-peak days, aforementioned data is collected in week days and weekends separately. | ||
| + | |||
| + | In order to assure the survey sample validity, the margin of error and confidence interval of the sample data is controlled within 5% and 95% respectively. | ||
| + | |||
====<div style="text-align: justify;">Data Set</div>==== | ====<div style="text-align: justify;">Data Set</div>==== | ||
=====<div style="text-align: justify;">Pre-survey Report</div>===== | =====<div style="text-align: justify;">Pre-survey Report</div>===== | ||
Revision as of 14:05, 10 January 2016
Contents
Project Introduction and Background
Objectives
Motivation and Project Scope
Project Data
Data Collection
In order to facilitate the understanding of current parking situation, two kinds of data is collected in this project and they are related to Parking Occupancy and Overspill and Human Traffic Count respectively. Each kind of the data is collected island wide. In total of 65 different site data is collected, and the sites include 30 retail malls, 15 retail and F&B clusters, 10 hawker centers, and 10 community clubs.
Parking Occupancy and Overspill data counts the total number of car park lots available on site, off-street parking lots provided by the development, and the number of parking lots inside the public car parks. To collect the data, 3 to 4 Enumerators are assigned to the entrance / exit of the car park. A typical example would be, Enumerator A counts the number of empty lots in the park, Enumerator B notes the number of cars IN and OUT until the intended start of the survey. Hence, the following equation si derived: the Base Car Park Occupancy (the number of empty lots in the park at the survey time) = number of empty lots in the park - Total IN + Total OUT.
Human Traffic Counts refers to the counting of the number of people that enter and exit a particular development, in order to derive the total number of people within the development at a particular period. Five methods are used for counting, and they are:
- Manual Count
- Line-of-Sight Count by enumerators
- Automated Count using electronic devices
- Snapshot Count
- Sit-Stand Count by roamers
In considering the possible differences of data collected under Peak and Non-peak days, aforementioned data is collected in week days and weekends separately.
In order to assure the survey sample validity, the margin of error and confidence interval of the sample data is controlled within 5% and 95% respectively.
