ShopMob data analyses
13.52
From 2015 to 2016
TML investigated rush-hour commuting through data analyses of vehicle movements at five Colruyt shops and Brussels Dansaert Park. This combined historical data and behavioural analyses with relevant research on travel behaviour with the aim of promoting alternative modes of transport and encouraging spreading shopping hours.
In the ShopMob project, we looked at the problem of rush-hour congestion in home-shopping trips. Consumers shop en masse at the same times and usually take their cars to do so. This leads to congestion in car parks and on the surrounding road network. To avoid this, two tracks were followed. First, consumers were encouraged to move to or from the shop or shopping centre at other, less busy times. Second, they were encouraged to leave the car at home and use public transport or bicycles for their commuting trips.
TML conducted data analyses based on vehicle movements at car parks of five Colruyt shops and at Dansaert Park in Brussels. These were mainly related to the number of vehicles driving in and out of the car parks and choices of transport mode (walking, cycling, motorised, or via public transport). We used cluster analyses of historical data and pattern and behavioural analyses of data during and after an action period. We thereby made links between the analyses conducted and the results of available academic and applied research on travel behaviour, including a brief literature review.
In the ShopMob project, we looked at the problem of rush-hour congestion in home-shopping trips. Consumers shop en masse at the same times and usually take their cars to do so. This leads to congestion in car parks and on the surrounding road network. To avoid this, two tracks were followed. First, consumers were encouraged to move to or from the shop or shopping centre at other, less busy times. Second, they were encouraged to leave the car at home and use public transport or bicycles for their commuting trips.
TML conducted data analyses based on vehicle movements at car parks of five Colruyt shops and at Dansaert Park in Brussels. These were mainly related to the number of vehicles driving in and out of the car parks and choices of transport mode (walking, cycling, motorised, or via public transport). We used cluster analyses of historical data and pattern and behavioural analyses of data during and after an action period. We thereby made links between the analyses conducted and the results of available academic and applied research on travel behaviour, including a brief literature review.
