Risk Aversion in Travel Mode Choice with Rank-Dependent Utility MATTHIEU DE LAPPARENT a & MOSHE BEN-AKIVA b a Institut français des sciences et technologies des transports, de l'aménagement et des réseaux-IFSTTAR, Université Paris-Est , France b Department of Civil and Environmental Engineering , Massachusetts Institute of Technology , Cambridge , Massachusetts , USA Published online: 03 Nov 2014.

Estimation of disaggregate mode choice models to estimate the ridership share on a proposed new (or improved) intercity travel service and to identify the modes from which existing intercity travelers will be diverted to the new or upgraded service constitutes a critical part of evaluating alternative travel service proposals to alleviate intercity travel congestion. This paper develops a new h...

Smartphones are becoming increasingly popular day-by-day. Modern smartphones are more than just calling devices. They incorporate a number of high-end sensors that provide many new dimensions to smartphone experience. The use of smartphones, however, can be extended from the usual telecommunication field to applications in other specialized fields including transportation. Sensors embedded in t...

In this paper we maximize the utility of a structural model of the demand for multi-destination non-work travel using maximum entropy method introduced by Shanon. A utility value is assigned when only partial information is available about the decision maker’s preferences. The maximum entropy utility solution embeds a large family of utility functions that includes the most commonly used functi...

For over 50 years the U.S. has been shifting away hom small, neighborhood schools to larger schools in lower density areas. Rates of children walking and biking to school have declined significantly over this period. This study examines the relationship between urban form, distance, and middle school students walking and biking to and from four schools in Oregon. Five primary results emerge: (1...

Recently GPS data is used in a lot of studies to automatically reconstruct travel patterns for trip survey. The aim is to minimize the use of questionnaire surveys and travel diaries so as to reduce their negative effects. In this paper data acquired from GPS and accelerometer embedded in smart phones is utilized to predict the mode of transportation used by the phone carrier. For prediction, S...

Transferability is an important issue in travel demand analysis and forecasting. Without transferability in time, the use of models for forecasting has no foundation; without transferability between regions, models developed in one region cannot be applied elsewhere; and without transferability of models from one part of a region to another part of the same region, taste and value differences t...

The Rational Locator Hypothesis posits that individuals can, if they choose, maintain approximately steady journey-to-work travel times by adjusting their home and workplace. This hypothesis was coupled with the observation of long-term stability in drive alone journey-to-work times in metropolitan Washington (those times were unchanged from 1957 through 1968 to 1988). Despite the increase of a...

The theory of customer relationship management has been gradually penetrated into all levels of enterprise management. As a close business with customers, travel agency should focus on customer relationship management, which is very important. This paper attempts to combine the concept of customer relationship management and the processes of traditional travel agency marketing to construct the ...

Travel time reliability is a fundamental factor in travel behavior. It represents the temporal uncertainty experienced by travelers in their movement between any two nodes in a network. The importance of the time reliability depends on the penalties incurred by the travelers. In road networks, travelers consider the existence of a trip travel time uncertainty in different choice situations (dep...