The distribution of the value of travel time savings (VTTS) is investigated employing nonparametric techniques on a large, high quality data set. When background variables are not included in theâ€¦ (More)

This paper presents a model of urban traffic congestion that allows for hypercongestion. Hypercongestion has fundamental importance for the costs of congestion and the effect of policies such as roadâ€¦ (More)

We propose a route choice model that relaxes the independence from irrelevant alternatives property of the logit model by allowing scale parameters to be link specific. Similar to the the recursiveâ€¦ (More)

We develop a general framework that extends choice models by including an explicit representation of the process and context of decision making. Process refers to the steps involved in decisionâ€¦ (More)

We formulate a model of reference-dependent preferences based on the marginal rate of substitution at the reference-point of a reference-free utility function. Using binary choices on the trade-offâ€¦ (More)

We analyse Nash equilibrium in time of use of a congested facility. Users are risk averse with general concave utility. Queues are subject to varying degrees of random sorting, ranging from strictâ€¦ (More)

We propose a multiplicative speci cation of a discrete choice model that renders choice probabilities independent of the scale of the utility. The scale can thus be random with unspeci edâ€¦ (More)

This paper establishes that every random utility discrete choice model (RUM) has a representation that can be characterized by a choice-probability generating function (CPGF) with specificâ€¦ (More)

Engineering studies demonstrate that traffic in dense downtown areas obeys a stable functional relationship between average speed and density, including a region of â€™hypercongestionâ€™ where flowâ€¦ (More)

We seek to better understand the scheduling of activities in time through a dynamic model of commuting with congestion, in which workers care solely about leisure and consumption. Implicitâ€¦ (More)