With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …

Random utility (RU) models are well-established methods for describing discrete choice
behavior. Recently, there has been a strong upsurge in interest driven by advances in data …

Abstract mlogit is a package for R which enables the estimation of random utility models with
choice situation and/or alternative specific variables. The main extensions of the basic …

This paper focuses on how to minimize the total passenger waiting time at stations by
computing and adjusting train timetables for a rail corridor with given time-varying origin-to …

This book describes the new generation of discrete choice methods, focusing on the many
advances that are made possible by simulation. Researchers use these statistical methods …

There has been an explosion of interest during the past two decades in a class of nonmarket
stated-preference valuation methods known as choice experiments. The overall objective of …

This timely new edition of Kenneth A. Small's seminal textbook Urban Transportation
Economics, co-authored with Erik T. Verhoef, has been fully updated, covering new areas …

The use of simulation techniques has been increasing in recent years in the transportation
and related fields to accommodate flexible and behaviorally realistic structures for analysis …

This study compares hypothetical and nonhypothetical responses to choice experiment
questions. We test for hypothetical bias in a choice experiment involving beef ribeye steaks …

We observe individuals (or decision makers) making choices in a wide variety of decision
contexts. However, we generally do not have information about the process individuals use …