DECISION SUPPORT FOR PLANNING MULTI-MODAL URBAN TRAVEL
Johanna Hartley, A Bargiela
Abstract
Johanna Hartley, A Bargiela
Abstract
The general public are travelling more and the public transport network has the opportunity to capture some of the increased demand. Most of the general public support the British government's aim of tackling pollution and congestion and are consequently in favour of positive measures to improve public transport. The co-operation between different public transport operators in different modes is increasing, and so inter-modal cohesion and thus the quality of service is improving. The paper focuses on one aspect of this 'quality of service', the issue of flexible provision of information about public transport and assistance with planning travel. A multi-objective optimisation algorithm that balances the concerns of travel time, uncertainty about traffic delays, inconvenience of parking and inconvenience of making connections is presented and evaluated
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The general public are travelling more and the public transport network has the opportunity to capture some of the increased demand. Most of the general public support the British government's aim of tackling pollution and congestion and are consequently in favour of positive measures to improve public transport. The co-operation between different public transport operators in different modes is increasing, and so inter-modal cohesion and thus the quality of service is improving. The paper focuses on one aspect of this 'quality of service', the issue of flexible provision of information about public transport and assistance with planning travel. A multi-objective optimisation algorithm that balances the concerns of travel time, uncertainty about traffic delays, inconvenience of parking and inconvenience of making connections is presented and evaluated
Key concepts: Public transport, Modal, Transport engineering, Traffic congestion, Government (linguistics), Cohesion (chemistry), Service quality, Quality (philosophy)