Sujin Lee

Korea Advanced Institute of Science and Technology (KAIST) - The Cho Chun Shik Graduate School of Mobility

SCHOLARLY PAPERS

3

DOWNLOADS

72

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Understanding Travel Behaviors During the Initial Stage of COVID-19 Pandemic: Individual-Level Analyses of Car and Bus Trips

Number of pages: 33 Posted: 13 Jun 2022
Sujin Lee, Eunjeong Ko, Kitae Jang and Suji Kim
Korea Advanced Institute of Science and Technology (KAIST) - The Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology (KAIST) - The Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology (KAIST) - The Cho Chun Shik Graduate School of Mobility and Korea Advanced Institute of Science and Technology (KAIST) - The Cho Chun Shik Graduate School of Mobility
Downloads 40 (951,105)

Abstract:

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COVID-19, Pandemic, Travel behavior, Trip Frequency, Trip Regularity, Travel Distance

2.

Multi-Horizon Predictions for Parking Availability at Multiple Lots Using Temporal Fusion Transformer

Number of pages: 20 Posted: 15 Mar 2024
Korea Advanced Institute of Science and Technology (KAIST) - The Cho Chun Shik Graduate School of Mobility, Kakao, affiliation not provided to SSRN and Korea Advanced Institute of Science and Technology (KAIST) - The Cho Chun Shik Graduate School of Mobility
Downloads 26 (1,102,638)

Abstract:

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Parking prediction, parking behavior, Clustering, Feature analysis, Time-series prediction, Deep Learning

3.

Cluster-Based Multi-Horizon Predictions of Parking Availability Across Multiple Lots

Number of pages: 26 Posted: 11 Mar 2025
Korea Advanced Institute of Science and Technology (KAIST) - The Cho Chun Shik Graduate School of Mobility, Kakao, affiliation not provided to SSRN and Korea Advanced Institute of Science and Technology (KAIST) - The Cho Chun Shik Graduate School of Mobility
Downloads 6 (1,320,588)

Abstract:

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Parking prediction, Parking behavior, Clustering, Feature analysis, Time-series prediction, Deep learning