Analysis of Hourly Transit Usage and Estimation of Hourly Service Population using Mobile Phone Data - Focusing on Seoul Metropolitan Area

Lee, Kwang-Sub; Eom, Jin Ki; Seong, Myeong-Eon; Lee, Jun; Moon, Dae Seop

doi:10.7782/jksr.2019.22.12.1008

Cited by 1 publication

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“…Particularly, the floating population is widely measured by the mobile phone signal (Woo et al 2021). Such measurement could be utilized for analyzing hourly transit or estimating the official land price (Lee et al 2019).…”

Section: Datamentioning

confidence: 99%

How does air pollution affect floating population in metropolitan city: embedding-based approach

Lee

2024

Clean Techn Environ Policy

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Recently, the air pollution has been seriously regarded in the urban environment. Particularly, the substantial relationship between the air pollution and the daily movements of citizens has not been sufficiently investigated yet. This study attempts to empirically identify the patterns of air pollution using association rule mining from Seoul, the metropolitan city in South Korea. As a result, 214 patterns on air pollution are discovered, and those are embedded into vectors based on Doc2Vec technique. Then, this paper further examines how the movement of citizens reacts to the discovered patterns of air pollution by deploying the linear regression on the floating population with emphasis on the walk-traffic. Specifically, the walk-traffic is categorized into 14 categories by gender and age group, and the effects of air pollution patterns on each subgroup walk traffic were analyzed. Findings of this paper provide the empirical evidences on the estimated air pollution sensitivity by generation and gender to researchers and practitioners. This paper has the contribution on newly proposing the methodological framework for further managing the air pollution in the urban environment. Graphical abstract

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Section: Datamentioning

confidence: 99%

How does air pollution affect floating population in metropolitan city: embedding-based approach

Lee

2024

Clean Techn Environ Policy

View full text Add to dashboard Cite

show abstract

Analysis of Hourly Transit Usage and Estimation of Hourly Service Population using Mobile Phone Data - Focusing on Seoul Metropolitan Area

Cited by 1 publication

References 0 publications

How does air pollution affect floating population in metropolitan city: embedding-based approach

How does air pollution affect floating population in metropolitan city: embedding-based approach

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