Relationship between Spatio-Temporal travel patterns derived from smart-card data and local environmental characteristics of Seoul, Korea

Mi Kyeong Kim, Sangpil Kim, Hong Gyoo Sohn

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

With the incorporation of an automated fare-collection system into the management of public transportation, not only can the quality of transportation services be improved but also that of the data collected from users when coupled with smart-card technology. The data collected from smart cards provide opportunities for researchers to analyze big data sets and draw meaningful information out of them. This study aims to identify the relationship between travel patterns derived from smart-card data and urban characteristics. Using seven-day transit smart-card data from the public-transportation system in Seoul, the capital city of the Republic of Korea, we investigated the temporal and spatial boarding and alighting patterns of the users. The major travel patterns, classified into five clusters, were identified by utilizing the K-Spectral Centroid clustering method. We found that the temporal pattern of urban mobility reflects daily activities in the urban area and that the spatial pattern of the five clusters classified by travel patterns was closely related to urban structure and urban function; that is, local environmental characteristics extracted from land-use and census data. This study confirmed that the travel patterns at the citywide level can be used to understand the dynamics of the urban population and the urban spatial structure. We believe that this study will provide valuable information about general patterns, which represent the possibility of finding travel patterns from individuals and urban spatial traits.

Original languageEnglish
Article number787
JournalSustainability (Switzerland)
Volume10
Issue number3
DOIs
Publication statusPublished - 2018 Mar 13

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Smart cards
Korea
travel
public transportation
Transportation charges
Land use
capital city
transportation system
urban population
urban structure
census
urban area
pricing
republic
land use
management

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law

Cite this

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Relationship between Spatio-Temporal travel patterns derived from smart-card data and local environmental characteristics of Seoul, Korea. / Kim, Mi Kyeong; Kim, Sangpil; Sohn, Hong Gyoo.

In: Sustainability (Switzerland), Vol. 10, No. 3, 787, 13.03.2018.

Research output: Contribution to journalArticle

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