In the past few years, what ‘going to work’ means has changed drastically for many. With the outbreak of Covid-19 over two years ago, many that had never worked remotely before were setting up their new offices anywhere they could in their homes. Two years on, most companies that have decided to keep their offices and not become fully remote, have returned to, at least some, in-person working. Many businesses are operating on a hybrid model, with a few days in the office and a few at home. The GMAP team is no different, as we are coming into our office in Nexus at the Leeds University campus at least two days each week, and the rest at home.
Visualising how far your employees travel to work can be used to aid your employee management and support core business decisions. Such insight can be used for a host of activities, such as prioritising working from home or shift patterns, organising events or conferences, tailoring travel to work benefits, deciding where to move an office to, or where to access shared meeting spaces. Ultimately understanding the commuter patterns of your employees can lead to increased well-being and staff retention.
In MVPLUS
you can quickly map where your employees live, you can link your employees to your office or workplace locations to automatically calculate drive time statistics. From this, you could calculate average drive times or drive distances. We did this for the employees at GMAP. Discounting one remote member of the team, on average the GMAP team live 34minutes, or 43 km from the office! The closest employee lives just 4 minutes from the office, whilst the furthest lives 94 minutes.
From your average employee drive times, you can quickly create drive time catchments for your workplaces to visualise how far your employees travel to work. You could use this location intelligence for a variety of exercises, such as considering where could be the optimal location to move an office to or where to look for a coworking hub. It could also help you decide which offices to close, and where to expand.
Watch our latest video to see how you could gain such location intelligence insights using MVPLUS: