Using GIS to visualise and evaluate student travel behaviour

Using GIS to evaluate travel behaviour is an important technique to increase our understanding of the\ud relationship between accessibility and transport demand. In this paper, the activity space concept was\ud used to identify the nature of participation in activities (or lack of it) amongst a group of students using\ud a 2 day travel-activity diary. Three different indicators such as the number of unique locations visited,\ud average daily distance travelled, and average daily activity duration were used to measure the size of\ud activity spaces. These indicators reflect levels of accessibility, personal mobility, and the extent of\ud participation respectively. Multiple regression analyses were used to assess the impacts of students\ud socio-economic status and the spatial characteristics of home location. Although no differences were\ud found in the levels of accessibility and the extent of participation measures, home location with\ud respect to a demand responsive transport (DRT) service was found to be the most important\ud determinant of their mobility patterns. Despite being able to travel longer distances, students who live\ud outside of the DRT service area were found to be temporally excluded from some opportunities.\ud Student activity spaces were also visualised within a GIS environment and a spatial analysis was\ud conducted to underpin the evaluation of the performance of the DRT. This approach was also used to\ud identify the activity spaces of individuals that are geographically excluded from the service. Evaluation\ud of these results indicated that although the service currently covers areas of high demand, 90% of the\ud activity spaces remained un-served by the DRT service. Using this data six new routes were designed\ud to meet the coverage goal of public transport based on a measure of network impedance based on\ud inverse activity density. Following assessment of public transport service coverage, the study was\ud extended using a Spatial Multi Criteria Evaluation (SMCE) technique to assess the effect of service\ud provision on patronage