Jinhong Park
"What you keep thinking about in your free time is what truly intrigues you."
Hello! I am a Ph.D. Candidate in Urban Administration at the University of Seoul. My research focuses on Pedestrian Policy Assessment, Urban Modeling & AI, Quantitative Research, and GIS & Network Analysis.
My core research themes are threefold: First, examining how urban policies and environments impact people's health, safety, and behavior. Second, discovering urban problems and deriving policy solutions by utilizing reliable, real-time urban big data. Third, conducting rigorous urban policy assessments through scientific and systematic analytical methodologies.
Research Skills:
R
Python
Jamovi
ArcGIS Pro
QGIS
Rhino3D
selected publications
2024
Spatial Information Extraction and Basic Analysis from 120 Dasan Call Civil Complaint Texts through Named Entity Recognition.
Park J., and Kang M.
Journal of Korea Planning Association 59(7), pp. 169-180. [KCI Excellent Accredited]
Park J., and Kang M.
Journal of Korea Planning Association 59(7), pp. 169-180. [KCI Excellent Accredited]
2024
A Case-Control Study on the Association between Bicycle Crash Hotspots and Urban Environmental Factors in Seoul: Focusing on the Development and Application of a Non-Crash Location Extraction Algorithm.
Park J., and Kang M.
Journal of Korea Planning Association 59(5), pp. 87-104. [KCI Excellent Accredited]
Park J., and Kang M.
Journal of Korea Planning Association 59(5), pp. 87-104. [KCI Excellent Accredited]
2022
A Study on the Measurement of Floating Population and Locational Characteristics Using IoT-based Urban Data Sensors in Seoul.
Park J., and Kang M.
Journal of Korea Planning Association 57(5), pp. 41-57. [KCI Excellent Accredited]
Park J., and Kang M.
Journal of Korea Planning Association 57(5), pp. 41-57. [KCI Excellent Accredited]
selected talks
Jun 2026
Assessing the Economic Impact of Pedestrian Zones: A Fine-grained Causal Analysis in Seoul, Republic of Korea.
Oral Presentation, Applied Urban Modelling (AUM2026) Conference, Cambridge, UK. (Accepted)
Oral Presentation, Applied Urban Modelling (AUM2026) Conference, Cambridge, UK. (Accepted)
Nov 2024
The Effect of Urban Redevelopment Projects on Pedestrian Flow in Seoul, Korea: Using the Betweenness Index and Bicycle Rental Counts.
Research-in-Motion (RiM) Session, Association of Collegiate Schools of Planning (ACSP2024) Annual Conference, Seattle, WA, USA.
Research-in-Motion (RiM) Session, Association of Collegiate Schools of Planning (ACSP2024) Annual Conference, Seattle, WA, USA.
Dec 2023
The Potential of Dasan Call Complaint Text Big Data with Named Entity Recognition Modeling.
Kang M, and Park J.
Oral Presentation, 2023 Seoul AI Conference, Seoul, Republic of Korea.
Kang M, and Park J.
Oral Presentation, 2023 Seoul AI Conference, Seoul, Republic of Korea.
selected research experience
Apr 2025 ‐ Jul 2025
Research Advisor — University of Seoul
Effects of Individual Characteristics and Mental Health Policies on Suicide Risks in Seoul: A Case-control Study Using Three-level Multilevel Models
Effects of Individual Characteristics and Mental Health Policies on Suicide Risks in Seoul: A Case-control Study Using Three-level Multilevel Models
May 2023 ‐ Feb 2025
Research Assistant — University of Seoul
Development and Utilization of Street-based Pedestrian Flow Models via Urban Network Analysis
Development and Utilization of Street-based Pedestrian Flow Models via Urban Network Analysis
Jul 2023 ‐ Dec 2023
Research Advisor — University of Seoul
An Analysis of Urban Administration Policy Demands in Seoul Before and After COVID-19 Using 120 Dasan Call Complaint Big Data and Deep-learning based Natural Language Processing (NLP) Models
An Analysis of Urban Administration Policy Demands in Seoul Before and After COVID-19 Using 120 Dasan Call Complaint Big Data and Deep-learning based Natural Language Processing (NLP) Models