Lee-Hyung Kim
Biographic Data
| ID | 6276344 |
|---|---|
| NAME | Lee-Hyung Kim |
| GIVEN NAMES | Lee-Hyung |
| FAMILY NAME | Kim |
| SIGNATURE | KIM L |
| AFFILIATIONS | Kongju National University |
| ORCID | 0000-0001-9711-7587 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
How vehicle-to-grid configurations shape plug-in electric vehicle purchase intentions: Evidence of non-transferable effects
Developing an extreme weather exposure index for urban green infrastructure: A comparative indicator weighting approach applied to South Korea
Platform-induced time-space trade-offs in ride-hailing: Multi-homing as a response to operational constraints
This study examines how ride-hailing drivers adjust their time-use and spatial behavior under platform-induced constraints, with a focus on multi-homing—the practice of operating across multiple ride-hailing platforms. Drawing on a city-scale, driver-identified dataset from Suzhou, China, we propose a data-driven framework to identify multi-homing behavior and quantify its impacts using four operational metrics: working hours, travel distance, re…
Does the streetscape built environment matter in explaining crash injury severity among older adults
Exploring fatal/severe pedestrian injury crash frequency at school zone crash hotspots: Using interpretable machine learning to assess the micro-level street environment
The effects of built environment spatial variation on bike-sharing usage: A case study of Suzhou, China
The effects of built environment spatial variation on bike-sharing usage: A case study of Suzhou, China
Exploring fatal/severe pedestrian injury crash frequency at school zone crash hotspots: Using interpretable machine learning to assess the micro-level street environment
Platform-induced time-space trade-offs in ride-hailing: Multi-homing as a response to operational constraints
This study examines how ride-hailing drivers adjust their time-use and spatial behavior under platform-induced constraints, with a focus on multi-homing—the practice of operating across multiple ride-hailing platforms. Drawing on a city-scale, driver-identified dataset from Suzhou, China, we propose a data-driven framework to identify multi-homing behavior and quantify its impacts using four operational metrics: working hours, travel distance, re…
Does the streetscape built environment matter in explaining crash injury severity among older adults
How vehicle-to-grid configurations shape plug-in electric vehicle purchase intentions: Evidence of non-transferable effects
Developing an extreme weather exposure index for urban green infrastructure: A comparative indicator weighting approach applied to South Korea
Built environment (2 works) · Computer Science (2 works) · Crash (2 works) · Engineering (2 works) · Geography (2 works) · Injury prevention (2 works) · Pedestrian (2 works) · Poison control (2 works) · Traffic and Road Safety (2 works) · Transport engineering (2 works)