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Yong‐Sung Lee

Biographic Data

ID6505256
NAMEYong‐Sung Lee
GIVEN NAMESYong‐Sung
FAMILY NAMELee
SIGNATURELEE Y S
AFFILIATIONSGeorgia Institute of Technology
ORCID0000-0002-1980-1225
VERIFIEDYes
TOTAL WORKS10
TOTAL CITATIONS5
WORKS AS AUTHOR10
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX2
  • Household vehicle transactions during and after the pandemic

    Open Access•Xiatian Wu, Yong‐Sung Lee et al.•ARTICLE•Transportation•2026

    This paper investigates the factors affecting household vehicle transactions, including additions, removals, and replacements, in the past (spring 2020 to fall 2023) and in the anticipated future (fall 2023 to fall 2026). Using a two-wave panel dataset (n = 1612) from surveys conducted in the U.S., we explore a broad set of hypotheses concerning vehicle transaction dynamics over time. An integrated choice and latent variable model identifies the …

  • Just another ride-hailing? examining the determinants of robotaxi demand in San Francisco

    Open Access•Patrick Loa, Yong‐Sung Lee et al.•ARTICLE•Transportation•2026

  • Not all ride-hailing trips are created equal

    Open Access•Patrick Loa, Xiatian Wu et al.•ARTICLE•Transportation•2025

  • How will people spend travel time in autonomous vehicles? A four-region study focusing on heterogeneous preferences

    Open Access•Ilsu Kim, Yong‐Sung Lee et al.•ARTICLE•Transportation•2025

    This study investigates heterogeneous preferences for in-vehicle activities in autonomous vehicles (AVs). Using a rich survey dataset (N = 3,376) collected across four regions in the southern United States between June 2019 and March 2020, and weighted to represent the study population, latent-class cluster analysis (LCCA) was conducted. This analysis identifies latent classes with distinct combinations of preferred in-vehicle activities, separat…

  • Spatial risk for a superspreading environment

    Open Access•Becky P Y Loo, Ka Ho Tsoi et al.•ARTICLE•Frontiers in Public Health•2023

    Introduction: This study sets out to provide scientific evidence on the spatial risk for the formation of a superspreading environment. Methods: Focusing on six common types of urban facilities (bars, cinemas, gyms and fitness centers, places of worship, public libraries and shopping malls), it first tests whether visitors' mobility characteristics differ systematically for different types of facility and at different locations. The study collect…

  • Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California

    Open Access•Yong‐Sung Lee, Giovanni Circella et al.•ARTICLE•Transportation•2020

  • Millennials in cities

    Open Access•Alexa Delbosc, Noreen Mcdonald et al.•ARTICLE•Cities•2019•Cited by: 2•References: 30

  • An analysis of the effects of suburban densification on vehicle use for shopping

    Open Access•Yong‐Sung Lee, Subhrajit Guhathakurta•ARTICLE•Journal of Transport Geography•2018•References: 2

  • The Impact of Transit-oriented Development on Housing Value Resilience

    Open Access•Wenwen Zhang, Fangru Wang et al.•ARTICLE•Journal of Planning Education and…•2018•References: 1

    This research examines whether transit-oriented development (TOD) contributes to housing value resilience in Atlanta, Georgia. We developed two spatial hedonic models using property sale records to examine whether being located in TOD areas contributes to the resilience of housing prices during and after the Great Recession, compared to being located in transit-adjacent development areas. Our results suggest that there is a growing demand for TOD…

  • Millennial First-Time Homebuyers and Location Choice

    Open Access•Elora Lee Raymond, Jessica Dill et al.•ARTICLE•Journal of Planning Education and…•2018•Cited by: 3

    We research whether Millennial first-time homebuyers are more likely to purchase homes near city centers than Generation X. We use a random sample of individual credit records data to examine first-time mortgaged homebuyers from 2000 to 2016 in the fifty largest US cities. In a logistic regression controlling for age and generation, we estimate separate age and period effects. We also control for car ownership, income, credit score, mortgage size…

  • Millennial First-Time Homebuyers and Location Choice

    Open Access•Elora Lee Raymond, Jessica Dill et al.•ARTICLE•Journal of Planning Education and…•2018•Cited by: 3

    We research whether Millennial first-time homebuyers are more likely to purchase homes near city centers than Generation X. We use a random sample of individual credit records data to examine first-time mortgaged homebuyers from 2000 to 2016 in the fifty largest US cities. In a logistic regression controlling for age and generation, we estimate separate age and period effects. We also control for car ownership, income, credit score, mortgage size…

  • Millennials in cities

    Open Access•Alexa Delbosc, Noreen Mcdonald et al.•ARTICLE•Cities•2019•Cited by: 2•References: 30

  • An analysis of the effects of suburban densification on vehicle use for shopping

    Open Access•Yong‐Sung Lee, Subhrajit Guhathakurta•ARTICLE•Journal of Transport Geography•2018•References: 2

  • The Impact of Transit-oriented Development on Housing Value Resilience

    Open Access•Wenwen Zhang, Fangru Wang et al.•ARTICLE•Journal of Planning Education and…•2018•References: 1

    This research examines whether transit-oriented development (TOD) contributes to housing value resilience in Atlanta, Georgia. We developed two spatial hedonic models using property sale records to examine whether being located in TOD areas contributes to the resilience of housing prices during and after the Great Recession, compared to being located in transit-adjacent development areas. Our results suggest that there is a growing demand for TOD…

  • Millennial First-Time Homebuyers and Location Choice

    Open Access•Elora Lee Raymond, Jessica Dill et al.•ARTICLE•Journal of Planning Education and…•2018•Cited by: 3

    We research whether Millennial first-time homebuyers are more likely to purchase homes near city centers than Generation X. We use a random sample of individual credit records data to examine first-time mortgaged homebuyers from 2000 to 2016 in the fifty largest US cities. In a logistic regression controlling for age and generation, we estimate separate age and period effects. We also control for car ownership, income, credit score, mortgage size…

  • Millennials in cities

    Open Access•Alexa Delbosc, Noreen Mcdonald et al.•ARTICLE•Cities•2019•Cited by: 2•References: 30

  • Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California

    Open Access•Yong‐Sung Lee, Giovanni Circella et al.•ARTICLE•Transportation•2020

  • Spatial risk for a superspreading environment

    Open Access•Becky P Y Loo, Ka Ho Tsoi et al.•ARTICLE•Frontiers in Public Health•2023

    Introduction: This study sets out to provide scientific evidence on the spatial risk for the formation of a superspreading environment. Methods: Focusing on six common types of urban facilities (bars, cinemas, gyms and fitness centers, places of worship, public libraries and shopping malls), it first tests whether visitors' mobility characteristics differ systematically for different types of facility and at different locations. The study collect…

  • Not all ride-hailing trips are created equal

    Open Access•Patrick Loa, Xiatian Wu et al.•ARTICLE•Transportation•2025

  • How will people spend travel time in autonomous vehicles? A four-region study focusing on heterogeneous preferences

    Open Access•Ilsu Kim, Yong‐Sung Lee et al.•ARTICLE•Transportation•2025

    This study investigates heterogeneous preferences for in-vehicle activities in autonomous vehicles (AVs). Using a rich survey dataset (N = 3,376) collected across four regions in the southern United States between June 2019 and March 2020, and weighted to represent the study population, latent-class cluster analysis (LCCA) was conducted. This analysis identifies latent classes with distinct combinations of preferred in-vehicle activities, separat…

  • Household vehicle transactions during and after the pandemic

    Open Access•Xiatian Wu, Yong‐Sung Lee et al.•ARTICLE•Transportation•2026

    This paper investigates the factors affecting household vehicle transactions, including additions, removals, and replacements, in the past (spring 2020 to fall 2023) and in the anticipated future (fall 2023 to fall 2026). Using a two-wave panel dataset (n = 1612) from surveys conducted in the U.S., we explore a broad set of hypotheses concerning vehicle transaction dynamics over time. An integrated choice and latent variable model identifies the …

  • Just another ride-hailing? examining the determinants of robotaxi demand in San Francisco

    Open Access•Patrick Loa, Yong‐Sung Lee et al.•ARTICLE•Transportation•2026

Urban Transport and Accessibility (7 works) · Business (6 works) · Engineering (6 works) · Transport engineering (6 works) · Computer Science (5 works) · Economics (5 works) · Geography (5 works) · Transportation and Mobility Innovations (5 works) · Transportation Planning and Optimization (4 works) · Travel behavior (4 works)

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