Paper Info
Title
Activity-Based Traveler Analyzer Using Mobile and Socioeconomic Bigdata: Case Study of Seoul in Korea.
Abstract
This paper introduces a pilot study of developing Activity-BAsed Traveler Analyzer (ABATA) using the Big Data. The mobile phone bigdata is used to estimate total activity population in a case study area, Gangnam, Seoul. The pilot system estimates the activity population and the derived travel demand from the activities taken into account for individual schedules and activity categories (home, work, shopping, and leisure) with respect to land use types based on the various data inventory. The transportation planners will find this case study to be of interest with regards to the simulation results on the socio-demographic factors and land use changes.
Year
DOI
Venue
2018
10.1007/978-3-319-94301-5_24
Lecture Notes in Computer Science
Keywords
Field
DocType
Mobile phone data,Activity-based model,Activity population Mobility
Population,Computer science,Transport engineering,Schedule,Artificial intelligence,Mobile phone,Big data,Spectrum analyzer,Machine learning,Land use,Socioeconomic status
Conference
Volume
ISSN
Citations 
10968
0302-9743
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Jin Ki Eom102.03
Kwang Sub Lee202.03
Jun Lee33313.67
Dae-Seop Moon411.39