Travel Information: Time to Drop the Labels?

Abstract

This paper argues that the literature on travel information and its potential as a travel demand management tool suffers from confusing use of terminology. It shows how labels such as "advanced," "personalized," and "dynamic"-when referring to travel information services-have been either implicitly or explicitly assigned a variety of often quite different meanings in various contexts. As a result, these labels, and similar labels such as "predictive" and "intelligent," often obfuscate rather than explain what kind of travel information is actually being discussed. Several options for avoiding this confusion in future research are presented. For example, one option is to entirely forego the use of labels and instead describe travel information services in terms of their relevant characteristics and functionalities. Another option is to start using recently proposed definitions and International Standards Organization standards, with the aim of achieving a more formal building ground for travel-information-related research than is currently available.

Route guidance ranking procedures with human perception consideration for personalized public transport service

“…Generally speaking, as per Chorus (2012) , there are two perspectives to the benefits of personalized smartphone apps: (i) services remember and learn from passenger choice profiles and allow predicting passenger mobility and issuing context-sensitive personal advice ( Lathia et al, 2013 , Bouhana et al, 2013 , Arentze, 2013 ), and (ii) services prioritize passenger preferences over other attributes ( Peng and Huang, 2000 , Zografos et al, 2009 , Chorus et al, 2009 ). This study will construct an adjusted framework to capture both perspectives, proposing that perspective (i) be addressed by a big data center, wherein various data sources are stored and utilized to predict passengers’ travel behavior and to assist operators in making realtime operational decisions, and perspective (ii), the core of this study, be addressed by developing a personalized route guidance methodology considering passenger preferences.…”