This research endeavours to define and develop a methodology based on ‘multi-objective linear programming’ and ‘multi criteria analysis’, to rank all the admissible transport options from home to the university based on total disutility during the journey. It aims to assist individual traveller with multi-objective to make smart choice in route and mode selection process. The objectives in the case study were identified as personal energy expenditure, travel time, travel cost, CO2 emission and energy resource consumption regarding sustainability concerns.
An active transport journey planner was developed in the Excel to allow user to set their constraints for most objectives and give their weightings, respectively. The recommended transport solution (the least disutility one) and ranking of other transport options along with their detailed objective-related information will be delivered in the end. Initial result shows that the developed methodology could be applied in selecting smart transport solution based on user’s multi-objective preferences. In addition, transport option incorporating more cycling and walking has the higher probability to deliver as the smart solution to user if social, environmental concerns were taken into account beyond economic issues.
Hu, W., Thompson, R.G. and Zaman, A.M. (2009). Active Transport Journey Planner Methodology. Masters Research thesis, Engineering - Civil and Environmental Engineering, The University of Melbourne.