CENTRALWEST GATENORTH PIERRIVERSIDEOLD TOWN
Jiho Kim
Chungbuk National University
Cheongju, South Korea

Jiho Kim

Urban Researcher · Spatial Analyst

Spatial AnalysisAccessibility ModelingTravel BehaviorGIS
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01·About·N36.64 E127.49

About

6 research layers · 2 degrees

Hello, I am Jiho Kim.

I completed my bachelor's and master's degrees in Urban Engineering at Chungbuk National University, where I have focused on understanding a wide range of issues emerging within urban and regional contexts.

My research interests lie in how population dynamics, spatial structure, urban functions, and public policies interact to produce uneven outcomes across cities and regions. I view phenomena such as disparities in living conditions, spatial concentration or exclusion of urban functions, and regional imbalance not as isolated problems, but as interconnected results of underlying urban structures.

To investigate these issues, I employ data-driven approaches using spatial statistics and GIS. I consider analytical tools not merely as techniques for measurement, but as means to better interpret the relationship between people and space. Through this approach, I aim to diagnose urban problems more precisely and contribute to policy-relevant insights toward more balanced and sustainable cities.

Education · Academic Traverse

ThesisUtility-based multiple transportation mode i2SFCA for estimating potential demand: A case study of commercial facilities

  • Lab Leader · Urban Economics and Spatial Analysis Lab2023.09 – 2026.02
02 · PUBLICATIONS · N36.64 E127.49

Publications

5 peer-reviewed publications · 1 under review

06Total
05Published
01In Review
Peer-Reviewed05
Trip Purpose Prediction with Minimal Sequential Context: A Parsimonious Machine Learning Approach

Jiho Kim, Jiwoo Kim, Kyusang Kwon

IET Intelligent Transport Systems, 20(1), e70213

This study develops a machine learning framework for classifying trip purposes in activity-based travel demand models using Household Travel Survey (HTS) data and built environment features. Multiple algorithms, including LightGBM and XGBoost, are evaluated, with SHAP-based feature importance analysis identifying key behavioral and spatial predictors. The proposed model demonstrates that high predictive performance can be achieved even with minimal sequential context, substantially outperforming conventional rule-based classification approaches. This finding provides direct implications for travel demand forecasting in data-sparse environments.

Under Review01

03 · RESEARCH PROJECTS · N36.64 E127.49

Research Projects

2 lab projects · active missions

Contributions

  • Data acquisition
  • Data analysis
  • Manuscript and report writing
04CONFERENCESN37.57 E126.98

Conference Presentations

11 presentations · 2 international · 9 domestic

INTERNATIONAL02

International Conference of Asian-Pacific Planning Societies (ICAPPS)

Seoul, KoreaKim, J. and Kwon, K.

DOMESTIC09

05·HONORS & SCHOLARSHIPS

Honors & Scholarships

6 honors · 15 scholarships

6Honors
15Awards of Funding

AWARDS & HONORS · 6

2025 Urban Regeneration & Renewal Research Paper Competition

December 2025

SCHOLARSHIPS · 15

MSMaster's Degree2024 – 20267
Fall 2025·University–Industry Cooperation Foundation·KRW 6,000,000
BABachelor's Degree2018 – 20248

06·SKILLS·LAYER STACK

Skills & Toolset

4 layers · 9 tools
LYR · 01/04

Programming

  • Python
  • R
  • Vibe Coding
LYR · 02/04

GIS & Spatial

  • QGIS
LYR · 03/04

Transportation

  • EMME 4
  • VISSIM
LYR · 04/04

Design

  • SketchUp
  • Adobe Creative Suite
  • Figma

● FULL RECORD · PDF

Curriculum Vitae

Download the complete CV for detailed academic and research history.

Download CV
07 · CONTACT · N36.64 E127.49

Let’s connect

I am open to research collaborations, academic discussions, and opportunities in urban analytics and spatial modeling. Feel free to reach out.

Jiho Kim

Urban Researcher · Spatial Analyst

Chungbuk National University · Cheongju, South Korea

+36.6424° N, 127.4890° E+

© 2026 Jiho Kim · All rights reserved