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Parking Analytics

Parking Analytics

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Parking Analytics. Requirements. Web-Based interface provides results to subscribed users: Web based interactive dashboards Scheduled summary reports by email PDF generation and scheduled email attachments Software must collate data from ANPR database we point it to. - PowerPoint PPT Presentation

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Page 1: Parking Analytics

Parking Analytics

Page 2: Parking Analytics

Requirements• Web-Based interface provides results to subscribed users:

– Web based interactive dashboards– Scheduled summary reports by email– PDF generation and scheduled email attachments– Software must collate data from ANPR database we point it to.

• To provide answers to many various questions:– Who are our visitors?– Where do they come from?– How long do they stay?– Who are my repeat visitors?– What classes / types of visitors do we have?

Page 3: Parking Analytics

Who are our Visitors?

• ANPR Data and License Plate analysis will be used to extract various data points:

– Date and Time of each visit

– Time band and duration of each visit

– Repeat / New Visitor

– License plate itself points to vehicle location (heuristic location analysis)

– More precise location check can be made at an additional charge per plate lookup (this will need to be linked with Experian or other database)

– Segmentation of visitors according to type

Page 4: Parking Analytics

Example reports

Page 5: Parking Analytics

Where do they come from?Code Count Catchment Area

SV 25,904 Aberdeen

SW 16,143 Aberdeen

ST 3,396 Dundee

SP 3,350 Dundee

SY 3,349 Inverness

SD 1,739 Glasgow

SB 1,692 Glasgow

SL 1,688 Edinburgh

... ... ...

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Where do they come from?

Visitors from Inverness7,152

Visitors from Aberdeen43,124

Visitors from Glasgow8,293

Visitors from Newcastle3,177

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How long do they stay?

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How long do they stay? And from where?

Visitors from EdinburghDo not stay more than 8 hours

Visitors from Edinburgh> 80% stay 3 hours or less

Visitors from AberdeenStay between 1 to 6 hours

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Who are my repeat visitors?• 67% : 33% Ratio of New vs. Repeat Visitors• Three month period repeat visitor statistics:

Most repeat visitors (80%)Come back 2 to 4 times

Almost all repeat visitors (> 90%)Come back up to 9 times

Some repeat visitors (4%)Come back 10 to 19 times

Some repeat visitors (2%)Come back more than 21 times

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What types of visitors do we have?

• Average age of car registration: most visitors during sample period have cars registered between 1 September 2007 to 29 February 2008

• Followed by 1 March 2007 to 31 August 2007 period

• Third place: cars registered after 1 September 2009

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What types of visitors do we have?

Car Park Users

Cinema

Workers

Shoppers

Page 12: Parking Analytics

Goal Setting

• Goal settings and statistics can be produced automatically every day based on needs

• Examples of what can be setup (in increasing level of complexity):

– How many New Visitors stay more than 2 hours ?

– How many Repeat Visitors stay more than 1 hour during 18:00-00:00 ?

– How many New Visitors from Glasgow stay more than 2 hours during 08:00-18:00 ?