Worker Movement - Overview

The Worker Movement feature in propella.office allows subscribers to identify common locations that the workers of a particular building visit at a particular time of day. New movement data is added weekly alongside "Worker Activity".

Worker Movement utilises the same Worker Identification algorithm that powers "Worker Activity", "Home Locations", and "Psychographics". Once the workers of a specific building have been probabilistically identified, mobile data from these specific 'worker' devices around the building is extracted. A 7 minute walking isochrone surrounding each office building is used to visualise the movement of workers within the catchment. The mobile events from each of the worker devices are aggregated into small spatial bins (average diameter of 7m).

The user can specify a specific time range of interest (eg. lunchtime 12-2pm) to filter the worker movement data, or simply take all the data available throughout the day. The spatial bins are displayed on the map and are coloured depending on the amount of activity they contain. The 'hottest' spots are shown as deep red clusters and often appear over locations such as food courts, retail shops, gyms or public transport stops.

Figure 1 indicates 'hotspots' where workers have spent time during the time period allocated around 414 LaTrobe St Melbourne

Stays vs Travels

The Worker Movement feature provides the user with the option to select either a ' stay' heat map or a 'travel' heat map. These two options each represent a different type of movement behaviour.

The 'stay' map shows where workers have spent an identifiable amount of time in the same location, providing the user with insights into where the workers dwell at specific times of the day, eg. Waiting for a coffee, Eating lunch, Shopping, Waiting for public transport.

The 'travel' map shows the routes where workers have travelled along at a specific time of day, providing the user with insights into the paths that workers take to get to and from the office building, eg. Commuting to the office, Heading out to lunch, Visiting other office buildings.

Figure 2 shows the difference between a 'Stay' and a 'Travel', 'Stays' being where workers dwell for a period of time, 'Travels' being where workers have travelled along a path/route at a specific time of day