eBook Mobile Technologies for Activity-Travel Data Collection and Analysis, 1st Edition

  • Soora Rasouli
  • Published By:
  • ISBN-10: 1466661712
  • ISBN-13: 9781466661714
  • DDC: 910.68
  • Grade Level Range: College Freshman - College Senior
  • 325 Pages | eBook
  • Original Copyright 2014 | Published/Released December 2015
  • This publication's content originally published in print form: 2014
  • Price:  Sign in for price



As mobile technologies become ever more pervasive in modern society, users find increasingly innovative methods to take advantage of the newest developments and mobile devices. Data mining, in particular, has seen a vast shift as a result of wireless technologies. Mobile Technologies for Active-Travel Data Collection and Analysis concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry. This critical reference source will provide travel agents, visitors, and hosts with the most advanced data mining methods, empirical research findings, and computational analysis techniques necessary to compete effectively in the global tourism industry.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Data Mining and Database Management (ADMDM) Book Series.
Titles in this Series.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
Shifting Data Requirements in Activity-Based Modeling of Travel Behavior – Is Mobile Technology the Panacea?.
1: Origin-Destination Data Collection Technology.
2: Behavioural Data Collection Using Mobile Phones.
3: Horses for Courses: Designing a GPS Tracking Data Collection.
4: Collecting Activity-Travel and Planning Process Data Using GPS-Based Prompted Recall Surveys: Recent Experience and Future Directions.
5: Space-Time Behavior Survey for Smart Travel Planning in Beijing, China.
6: Understanding Trip Misreporting Behavior Using Global Positioning System-Assisted Household Travel Survey.
7: Multi-Week Travel Surveys Using GPS Devices: Experiences in The Netherlands.
8: The Annotation of Global Positioning System (GPS) Data with Activity Purposes Using Multiple Machine Learning Algorithms.
9: A New Algorithm for Mode Detection in Travel Surveys: Mobile Technologies for Activity-Travel Data Collection and Analysis.
10: A Real Time Topological Map Matching Methodology for GPS/GIS-Based Travel Behavior Studies.
11: Using Smartphones to Capture Personal Travel Behavior.
12: Individual Mobility Analysis Using Smartphone Data.
13: Smartphone-Based Travel Survey: A Pilot Study in China.
14: Using Call Detail Records of Mobile Network Operators for Transportation Studies.
15: The Application of Venue Side Location-Based Social Networking (VS-LBSN) Data in Dynamic Origin Destination Estimation.
16: Obtaining Public Transport Level-of-Service Measures Using In-Vehicle GPS Data and Freely Available GIS Web-Based Tools.
17: Measuring Travel Behavior Changes to Variably Priced Carsharing Using Mobile Applications.
18: GPS Travel Diaries in Rural Transportation Research: A Focus on Older Drivers.
19: A Role for GPS Data in Qualitative Research: Exploring Links between Walking Behaviour, the Built Environment, and Crime Perception in South Africa.
20: Using a GPS Active Logger to Implement Travel Behaviour Change Programs.
21: Characterizing Urban Structure Using Taxi GPS Data.
Compilation of References.
About the Contributors.