The relationship between urban travelers´ personal attributes and propensity to utilize Pre-trip Traveler Information System

Author

Yi, Zhang ; Xiaoguang, Yang ; Meiping, Yun ; Xuemei, Zhou

Author_Institution

Dept. of Traffic Eng., Tongji Univ., Shanghai, China

fYear

2010

fDate

18-20 June 2010

Firstpage

1

Lastpage

5

Abstract

Advanced Traveler Information System (ATIS) is a crucial part of Intelligent Transportation System (ITS) and Pre-trip Traveler Information System is an indispensable component of ATIS. In China, the current theoretical research and practical application of Pre-trip Traveler Information System is only at the beginning stage. The research preliminarily investigated the relationship between urban travelers´ personal attributes and propensity to utilize Pre-Trip Traveler Information System with data collected from Travel Willingness Survey and Household Travel Survey in Zhongshan, 2009. The extent of impacts of five personal attributes on the propensity to utilize Pre-trip Traveler Information System was determined. The research found out that in China middle-aged (30-50) male travelers commuting by motorized modes with middle or high income have highest propensity to utilize Pre-Trip Traveler Information System. Young (age less than 20) female jobless travelers are least potential users. The findings will enrich the theoretical research of related areas and support the system design and supply strategy of Pre-Trip traveler Information System in China.

Keywords

automated highways; behavioural sciences computing; traffic information systems; China; advanced traveler information system; intelligent transportation system; pre-trip traveler information system; Cities and towns; Doped fiber amplifiers; High temperature superconductors; Information systems; Motorcycles; Advanced Traveler Information System; Pre-trip Traveler Information System; personal attributes; propensity;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2010 18th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-7301-4

Type

conf

DOI

10.1109/GEOINFORMATICS.2010.5567854

Filename

5567854