Schedule-Based Dynamic Assignment Models for Public Transport Networks

2004 ◽  
pp. 79-93 ◽  
Author(s):  
F. Russo
Keyword(s):  
Public Transport ◽  
Transport Networks ◽  
Dynamic Assignment ◽  
Assignment Models

scholarly journals Navigability assessment of large-scale redesigns in nine public transport networks: Open timetable data approach

2021 ◽  
Vol 147 ◽  
pp. 212-229
Author(s):  
Christoffer Weckström ◽  
Miloš N. Mladenović ◽  
Rainer Kujala ◽  
Jari Saramäki
Keyword(s):  
Public Transport ◽  
Large Scale ◽  
Transport Networks

scholarly journals Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network

2021 ◽  
Vol 13 (12) ◽  
pp. 6949
Author(s):  
Gang Lin ◽  
Shaoli Wang ◽  
Conghua Lin ◽  
Linshan Bu ◽  
Honglei Xu
Keyword(s):  
Sustainable Development ◽  
Public Transport ◽  
Public Transportation ◽  
Evaluation Criteria ◽  
Performance Standards ◽  
Transport Network ◽  
Process Models ◽  
Transport Infrastructure ◽  
Transport Networks ◽  
Ahp Model

To mitigate car traffic problems, the United Nations Human Settlements Programme (UN-Habitat) issued a document that provides guidelines for sustainable development and the promotion of public transport. The efficiency of the policies and strategies needs to be evaluated to improve the performance of public transportation networks. To assess the performance of a public transport network, it is first necessary to select evaluation criteria. Based on existing indicators, this research proposes a public transport criteria matrix that includes the basic public transport infrastructure level, public transport service level, economic benefit level, and sustainable development level. A public transport criteria matrix AHP model is established to assess the performance of public transport networks. The established model selects appropriate evaluation criteria based on existing performance standards. It is applied to study the Stonnington, Bayswater, and Cockburn public transport network, representing a series of land use and transport policy backgrounds. The local public transport authorities can apply the established transport criteria matrix AHP model to monitor the performance of a public transport network and provide guidance for its improvement.

scholarly journals Quantifying travellers’ evaluation of waiting time uncertainty in public transport networks

2021 ◽  
Vol 25 ◽  
pp. 209-222
Author(s):  
Sanmay Shelat ◽  
Oded Cats ◽  
J.W.C. van Lint
Keyword(s):  
Waiting Time ◽  
Public Transport ◽  
Transport Networks ◽  
Time Uncertainty

scholarly journals Strategies to link rural areas to European and national transport networks

2018 ◽  
Vol 196 ◽  
pp. 04020
Author(s):  
Dana Sitányiová ◽  
Soňa Masarovičová ◽  
Daniele Berselli ◽  
Antonio Nicolini
Keyword(s):  
Rural Communities ◽  
Public Transport ◽  
Rural Areas ◽  
Road Transport ◽  
Transport Networks ◽  
Important Indicator ◽  
Limited Budget ◽  
Transport Services ◽  
Car Traffic ◽  
Peripheral Areas

Transport capacity is very important indicator of country’s economic power reflecting its economic development. All means of transport must be efficient and able to transport goods and people as cheaply and quickly as possible. This requires constant upgrading of transport networks often with limited budget. This is a problem especially in rural areas, where population density is very low and there are difficulties in providing transport links between cities and rural communities. It is very expensive to upgrade transport network and also to ensure public transport services there. Individual car transport can diminish the problem, but some groups (the young, old or poor) will always require public transport service, moreover increasing car traffic put pressure especially on existing road transport. Public transport linking isolated rural regions to transport hubs towards the European and national transport networks play a crucial role in that regard. Paper presents some outputs of RUMOBIL project focusing on pilot actions testing a number of innovative applications during a period 2017-2018 how sparsely populated peripheral areas can be better linked to a primary, secondary or tertiary transport node by public transport.

scholarly journals Planning Public Transport Networks—The Neglected Influence of Topography

2012 ◽  
Vol 15 (4) ◽  
pp. 23-41 ◽  
Author(s):  
Rhonda Daniels ◽  
Corinne Mulley
Keyword(s):  
Public Transport ◽  
Transport Networks

Modelling Urban Public Transit Users' Route Choice Behaviour

2011 ◽  
pp. 134-146
Author(s):  
Yulin Lee ◽  
Jonathan Bunker ◽  
Luis Ferreira
Keyword(s):  
Public Transport ◽  
Public Transit ◽  
Route Choice ◽  
User Equilibrium ◽  
Urban Transport ◽  
Transit Assignment ◽  
The Road ◽  
Transit Route ◽  
The 1960S ◽  
Assignment Models

Public transport is one of the key promoters of sustainable urban transport. To encourage and increase public transport patronage it is important to investigate the route choice behaviours of urban public transit users. This chapter reviews the main developments of modelling urban public transit users’ route choice behaviours in a historical perspective, from the 1960s to the present time. The approaches reviewed for this study include the early heuristic studies on finding the least-cost transit route and all-or-nothing transit assignment, the bus common lines problem, the disaggregate discrete choice models, the deterministic and stochastic user equilibrium transit assignment models, and the recent dynamic transit assignment models. This chapter also provides an outlook for the future directions of modelling transit users’ route choice behaviours. Through the comparison with the development of models for motorists’ route choice and traffic assignment problems, this chapter advocates that transit route choice research should draw inspiration from the research outcomes from the road area, and that the modelling practice of transit users’ route choice should further explore the behavioural complexities.

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