Commute time analysis using mobile location information

Abstract

In this paper, authors indicate that 95% of the South Korean population owns a mobile device. Telecom providers can collect an individual's location data at short intervals by utilizing communication information from their mobile devices. By continuously tracking daily location data, it is possible to estimate an individual's residential location, employment status, and workplace location. Based on residential and workplace locations, the purposes of trips—such as commuting, work-related travel, leisure, and returning home—can be inferred.This study develops a methodology for constructing a personal trip chain database (DB) that includes trip purposes using mobile location data and analyzes commuting conditions by city in South Korea. It examines factors such as the average commuting time, standard deviation, and the proportion of individuals experiencing poor commuting conditions based on city-specific commuting time distributions. Additionally, it analyzes urban commuting self-sufficiency levels based on the consistency between residential and workplace locations.By assessing the commuting environments of those with particularly challenging commutes, this study aims to propose transportation infrastructure investment policies (SOC) to improve travel conditions.

Keywords: commute time, mobile device, trip chain DB,  individual's location

DOI: 10.54941/ahfe1006702