Towards a general microeconomic model for the operation of public transport

By Sergio R. Jara-Díaz, A. Gschwender. 2003

184 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/6450f6a2383dbf45459f7abff69ad8b1662fbc4c

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In Automotive Engineering

In Control and Systems Engineering

In Transportation

Citations in the corpus

Congestion pricing, transit subsidies and dedicated bus lanes: Efficient and practical solutions to congestion (2011, background): “In terms of service variables, when buses are analyzed in isolation, transit subsidies should increase frequency and bus size (see e.g. Jara-Díaz and Gschwender, 2003).”
Multimodal pricing and optimal design of urban public transport: The interplay between traffic congestion and bus crowding (2014, background): “However, if bus size remains unaltered, frequency is always an increasing function of demand if we assume that crowding and standing disutilities matter (case of M2 up to 1,900 pax/h and M3 beyond 1,550 pax/h) which is in line with all total cost minimisation models that optimise bus frequency eithe”
Crowding in public transport systems: Effects on users, operation and implications for the estimation of demand (2013, methodology): “…when the crowding cost is considered in the design stage of a route, it should be optimal to provide a greater service frequency and bus capacity in order to reduce the occupancy levels inside vehicles, and consequently improve the quality of travelling (Jara-Díaz and Gschwender, 2003).”
The economics and engineering of bus stops: Spacing, design and congestion (2014, methodology): “A detailed description of this functional form is provided in Jara-Díaz and Gschwender (2003).”
Crowding in public transport: Who cares and why? (2017, background): “Note that these results do not immediately inﬁrm the validity of the time multiplier formulation of utility costs used in Jara-Díaz and Gschwender (2003); Haywood and Koning (2015); Wardman and Murphy (2015).”
Comparing operator and users costs of light rail, heavy rail and bus rapid transit over a radial public transport network (2010, background): “This effect can be captured using a mark up on the value of in-vehicle time savings Pv [$/h] when vehicles get crowded and a number of passengers have to stand (Jara-Díaz & Gschwender, 2003; Kraus, 1991).”