Measuring Canadian Travel Patterns Dashboard

Measuring Canadian Travel Patterns

This sample dashboard demonstrates how mobile movement data can help the travel and tourism industry understand the impact of COVID-19 on Domestic Overnight Visitors within Canada, its provinces, territories and tourism regions (TRCs).

With this dashboard, you can easily compare visitors’ travel patterns to prior weeks in 2020 and compared to the same period in 2019. You can also compare different regions to assess the impact of the pandemic on Canadian travel patterns and identify when visitors start to return to your tourism region.

The dashboard includes data starting the week of February 4^th, 2020 tracked on a weekly basis until the week of July 5^th, 2020.

To purchase an up-to-date version of the dashboard for your organization, get in touch.

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How to Read the Dashboard

Data analytics can help identify which consumer segments are interested in surfing

Identify Domestic Overnight Visitor Patterns

Easily compare regions, provinces and territories.
Measure weekly percent change of domestic overnight visitors in 2020 versus the corresponding week in 2019.
Measure percent change of domestic overnight visitors versus the previous week in 2020.

Methodology

We use privacy compliant, anonymized mobile movement data to identify devices whose Daily Common Evening Location is 60 km or more away from their Yearly Common Evening Location.
Data is aggregated and compared on a weekly basis versus the previous year and week.
Data is limited to devices that we can reliably infer their Daily and Yearly Common Evening Locations.
Data has been standardized and normalized leveraging demographic data and PRIZM, our neighbourhood classification system.

Glossary

Domestic Overnight Visitors – A device that spent at least one night more than 60KM away from their Yearly Common Evening Location.
Common Evening Location – A location where the device is normally seen between 6PM and 8AM the following morning.

Recommended Use

All data and information published on this website are for informational purposes only. Environics Analytics makes no representations or warranties as to the accuracy, completeness or suitability of any data and information and will not be liable for any errors, omissions or delays in your use of this information. All information is provided on an ‘as-is’ basis. For more information please contact us or see our privacy policy.

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