Random utility models with implicit availability/perception of choice alternatives for the simulation of travel demand

Cascetta, Ennio; Papola, Andrea

doi:10.1016/s0968-090x(00)00036-x

Cited by 152 publications

(77 citation statements)

References 7 publications

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“…Implicit choice-set approaches: These methods incorporate thresholds in the perception/availability of an alternative in the random utility choice model; this has typically been carried out by introducing thresholds (cut-offs) as penalties in the utility function (see Swait 2001;Cascetta and Papola 2001;Elrod et al 2004;Martínez et al 2009;Bierlaire et al 2010 among others). 2.…”

Section: Literature Reviewmentioning

confidence: 99%

Constrained nested logit model: formulation and estimation

et al. 2017

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A model of traveller behaviour should recognise the exogenous and endogenous factors that limit the choice set of users. These factors impose constraints on the decision maker, which constraints may be considered implicitly, as soft constraints imposing thresholds on the perception of changes in attribute values, or explicitly as hard constraints. The purpose of this paper is twofold: (1) To present a constrained nested logit-type choice model to cope with hard constraints. This model is derived from the entropymaximizing framework. (2) To describe a general framework to deal with (dynamic) nonlinear utilities. This approach is based on Reproducing Kernel Hilbert Spaces. The resulting model allows the dynamic aspect and the constraints on the choice process to be represented simultaneously. A novel estimation procedure is introduced in which the utilities are viewed as the parameters of the proposed model instead of attribute weights as in the classical linear models. A discussion on over-specification of the proposed model is presented. This model is applied to a synthetic test problem and to a railway service choice problem in which users choose a service depending on the timetable, ticket price, travel time and seat availability (which imposes capacity constraints). Results show (1) the relevance of incorporating constraints into the choice models, (2) that the constrained models appear to be a better fit than the counterpart unconstrained choice models; and (3) the viability of the approach, in a real case study of railway services on the Madrid-Seville corridor (Spain).

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Section: Literature Reviewmentioning

confidence: 99%

Constrained nested logit model: formulation and estimation

et al. 2017

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“…Baltas et al 2001, Benati andHansen, 2002;Suárez et al, 2004) and transportation planning (e.g. Cascetta et al, 2002;Cascetta and Papola, 2001 (Veldhuisen, Timmermans, and Kapoen 2000), pedestrian movement, and dynamics of land use development (Arentze and Timmermans 2004).…”

Section: Shop-choice Modelmentioning

confidence: 99%

Simulating spatial market share patterns for impacts analysis of large-scale shopping centers on downtown revitalization

et al. 2011

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The decline of downtown has been observed in many cities across the world. In response, many small cities in Japan, for example, have been taking regeneration efforts including development controls upon large-scale shopping centres (B-shops). It is extremely useful to analyze potential effects of relevant planning policies before implementation. We developed an urban planning support tool, a multi-agent simulation (MAS) model called Shopsim-MAS, to investigate the impacts of some downtown revitalization policies through consequent spatial dynamics of shops' market shares. We discuss methods to model household behaviour and to understand the market area dynamics of shops. The Shopsim-MAS developed in this project proves to be a useful means to analyze the impact of downtown revitalization policies in Japan. It is also expected to be further expanded for impact analysis of similar or more sophisticated urban policies in other parts of the world.

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“…Alternatively, the problem of path perception has been simulated implicitly in the choice model. This has generally been carried out by introducing a perception/availability degree of each alternative through an attribute in the alternatives' utility function or simulated considering the choice set as a fuzzy set in which each alternative has a degree of membership to it [18]. An extended review of these arguments is treated in [12][13][14].…”

Section: The Path Search Problemmentioning

confidence: 99%

Safety of users in road evacuation: algorithms for path design of emergency vehicles

Vitetta¹,

Quattrone²,

Polimeni³

2008

WIT Transactions on the Built Environment

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In this paper an advancement on the SICURO Research Project relating to the design of path choice models for emergency vehicles is proposed. In particular, with respect to the previous work in which the procedures to be planned and activated in emergency conditions were defined in order to allow the evacuation of weak users (the disabled, senior citizens, etc.) from the area affected by a disaster, some advanced instruments and scenarios for designing the optimal path for emergency vehicles to reduce evacuation times are introduced. The problem of an emergency vehicle that has to pick up some users at fixed points of the network and to take them to the refuge area is schematized (as in a previous work) with two different approaches: as a shortest-path problem (one to one) and as a vehicle routing problem (many to one). In the first exact approach the k shortest paths algorithm is applied to obtain the best k paths that satisfy specific choice criteria; in the second approach a metaheuristic procedure (genetic algorithm) which allows route optimization of a fleet of emergency vehicles is proposed. Some new experimental results obtained by applying the proposed advanced model to a real road transport network during a simulation of evacuation at urban scale in the context of the SICURO Project are also reported and compared with those obtained previously.

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Random utility models with implicit availability/perception of choice alternatives for the simulation of travel demand

Cited by 152 publications

References 7 publications

Constrained nested logit model: formulation and estimation

Constrained nested logit model: formulation and estimation

Simulating spatial market share patterns for impacts analysis of large-scale shopping centers on downtown revitalization

Safety of users in road evacuation: algorithms for path design of emergency vehicles

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