Dongjoo Park

Professor

Seoul National University

South Korea

Research Interests

Explore related searches

Professors in South Korea

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dongjoo Park is a Professor at the University of Seoul, South Korea. His research focuses on transportation safety, urban mobility, and forecasting demand in bike-sharing systems, with recent articles investigating factors affecting crash severity and urban delivery service adoption. He employs advanced statistical methods and machine learning techniques to analyze transportation-related data and enhance public safety measures.

Articles (12)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2020

Year:

2020

Year:

2020

Collaborators (3)

Reuben Tamakloe

Research Professor

Korea Advanced Institute of Science and Technology

SOUTH KOREA

View details

Jungyeol Hong

Assistant Professor

Keimyung University

SOUTH KOREA

View details

Subasish Das

Texas A&M University Transportation Institute

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Dongjoo Park

Research Interests

Explore related searches

Contact this professor

About

Articles (12)

Interaction of travel time and transfer frequency in trip chains affected by contagion impedance during COVID-19 in Seoul

Framework for hourly demand forecasting of bike-sharing stations: case study of the four main gate areas in Seoul

Examining urban delivery service user profiles and determinants of drone delivery adoption in Ghana considering usage before and after the COVID-19 pandemic

Factors affecting fatal PTW at-fault crash outcome metrics at intersections and non-intersections in South Korea

Key factors affecting motorcycle-barrier crash severity: an innovative cluster-regression technique

Factors influencing fatal vehicle-involved crash consequence metrics at spatio-temporal hotspots in South Korea: application of GIS and machine learning techniques

Stability of factors influencing walking-along-the-road pedestrian injury severity outcomes under different lighting conditions: A random parameters logit approach with heterogeneity in means and out-of-sample predictions

Discovering research topics, trends, and perspectives in COVID-19-related transportation journal articles

Mining groups of factors influencing bus/minibus crash severities on poor pavement condition roads considering different lighting status

A copula-based approach for jointly modeling crash severity and number of vehicles involved in express bus crashes on expressways considering temporal stability of data

Application of association rules mining algorithm for hazardous materials transportation crashes on expressway

Discovering Insightful Rules among Truck Crash Characteristics using Apriori Algorithm

Collaborators (3)

Reuben Tamakloe

Jungyeol Hong

Subasish Das

Make your next move.