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|Title:||A demand-based methodology for planning the bus network of a small or medium town||Authors:||Amoroso, Salvatore
|Keywords:||Urban public transport; Bus network design; Park pricing; Mode choice simulation||Issue Date:||2010||Publisher:||EUT Edizioni Università di Trieste||Source:||Amoroso, S.,Migliore, M., Catalano, M. Galatioto, F. (2010) A demand-based methodology for planning the bus network of a small or medium town, European Transport \ Trasporti Europei, 44, pp. 41-56.||Series/Report no.:||European Transport / Trasporti Europei
This work aims at developing a demand-based methodology for designing the bus network of a small
or medium town. The proposed modelling tool adopts a multi-agent objective function which evaluates
performance in the context of different stakeholders: the surplus of travellers (car and bus users); the bus
service provider’s revenues and operation costs. This approach was applied to an existing bus network,
serving Trapani, which is a medium town in the south of Italy (Sicily), with 100000 inhabitants. The busbased
public transport system attracts only about 5% of commuter trips within Trapani (source: National
Institute of Statistics, 2005). This paper reports on an analysis of the application of the proposed multiagent
modelling tool to two planning scenarios: the first is short-term and characterized by a budget
constraint (slight changes in the availability of drivers and vehicles) and the second long-term with new
investments in new buses to improve services and increase patronage. In both cases, the impact of the
recent car park charging policy launched by the local administration was considered.
The decision variables for the optimisation procedure were route, service frequency and capacity of
each bus line. A random utility model was employed to forecast the mode choices for trips within Trapani
and the travel demand-supply equilibrium was obtained using the DUE (deterministic user equilibrium)
assignment algorithm, for private transport, and the hyperpath network loading algorithm, for public
The optimisation procedure led to a more efficient bus network characterized by increase in bus
frequencies and a better performance in terms of reduced travel time, especially for trips bound for the
“old town” in the morning. In addition, a higher number of origin-destination pairs were served, at the
expense of the need to interchange between the inner more frequent and the outer less frequent services.
This implied that the number of transfers from one bus line to another significantly increased.
|Appears in Collections:||European Transport / Trasporti Europei (2010) 44/XV|
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