Work

Data quality analysis of interregional travel demand: Extracting travel patterns using matrix decomposition

Year: 2020

Type: article

Abstract: The Interregional Travel Survey in Japan (formerly the Net Passenger Transportation Survey [NPTS]) still has some limitations. New data sources have recently emerged, e.g., massive data from web-based surveys (WEB) or collecting passive mobile phone data (MOBI). Using or not using these data sources have been questioned for data integration or model estimation and validation. Therefore, as an initial step, the data quality of new data sources was evaluated to identify the potential for data integration with NPTS or new data collection methods to replace NPTS. This study focused on finding out the similarities in travel patterns extracted from these data sources using a nonnegative matrix factorization method. This study found that origin–destination pairs in the MOBI travel patterns were significantly different from those of NPTS and WEB, while there were some similarities between NPTS and WEB. However, some issues have been remaining and should be resolved in the future.

Source: Asian Transport Studies

DOI: 10.1016/j.eastsj.2020.100018

Authors: Canh Xuan Do, Makoto Tsukai, Akimasa Fujiwara

Institutions: Hiroshima University, University of Transport and Communications

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,200