Traffic congestion

Survey results phase 1

The data from the survey serves two main purposes:

  1. It gives us a broad database and benchmark of current commuting practices and behaviour, acting as a snapshot of what is happening now on the transport networks.
  2. It is an opportunity for local people to have their say and be involved, in an ongoing basis, in this exciting 2 year project about the transport issues across the region.

A statistical model using a Bayesian probability approach, has been developed to allocate survey participants into one of five groups, based on their responses to the survey questions. Each group contains individuals that only or predominantly use one of the following five travel mode types:

  • walking/running;
  • bicycle;
  • public transport,;
  • a combination of modes in one journey (e.g. Park & Ride); or,
  • motor vehicle (referred to as car).

The model was also used to explore the commuting behaviour and related characteristics for each group and identified factors that influence people’s behaviours and choices, including the ones in the table below (Y = Yes):

Mode/groupInfluencing Factor
  Receiving weather information Receiving traffic information Cost of journey Concern for the environment Fitness
Walking/running Y       Y
Bicycling Y Y     Y
Public transport Y Y   Y  
Combination     Y   Y
Car Y Y      

Read further information on the results from each group (.pdf).

See the results on road usage by groups.

Some of the other highlights, one for each of the five groups are as follows (refer to the graphs):

  • Those people in the motor vehicle group who also use public transport, use public transport 20% more often if they are influenced by the traffic congestion information they receive (see graph (a);
  • Those people in the public transport group who also commute using a motor vehicle, use the vehicle 18% less often if they are concerned with the environment (see graph b);
  • Those people who predominantly cycle and sometimes use another mode, use their bicycle 10% less often if they are influenced by the traffic congestion information they receive (c);
  • Those people who predominantly walk or run to their work/study place and also use a motor vehicle to commute, use a vehicle 35% more if they are influenced by weather information they receive (d);
  • The combination group has the highest proportion (14%) of people planning to change the way they travel to their work/study place, mainly to have a better journey; the most common mode combinations are car/bus (i.e. Park n Ride) and bus/walk (e).