Apr 2024 – Mar 2027
Kumamoto, Japan
Ph.D. in Engineering
Kumamoto University
Tentative thesis: “The Identification and Correction Framework for Trip Underreporting Bias in Household Travel Surveys.”
Experience
Education and research
Education
Apr 2022 – Mar 2024
Kumamoto, Japan
Master of Engineering in Urban Planning and Regional Design
Kumamoto University
Thesis: “Enhanced Adapted PageRank Algorithm Based on Temporal-modal Dual Coupling Effect in Multi-modal Mobility Network.”
Sep 2017 – Jun 2021
Fuzhou, China
Bachelor of Engineering in Transportation Planning and Management
Fujian University of Technology
Thesis: “Research on Traffic Safety of Electric Bicycle in Cangshan Wanda Plaza Area of Fuzhou City.”
Research experience
Apr 2024 – Mar 2027
JST SPRING Research Fellow
Trip misreporting bias in household travel surveys
Developing response-diligence indicators, examining their association with possible trip misreporting, and proposing an integrated bias-correction framework.
Ongoing
JST SPRING Research Fellow
License surrender behavior and mobility
Separating intention from actual behavior, analyzing socio-demographic and built-environment determinants, and investigating mobility impacts.
Apr 2023 – Mar 2024
Master Researcher
Time-varying multimodal network modeling
Developed a temporal network representation and an extended PageRank method for evaluating regional importance.
Apr 2022 – Mar 2024
Master Researcher
Travel behavior among older adults
Used latent class analysis to identify five travel-purpose groups and examine socio-demographic and transportation-related determinants.
Academic activities
June 2026Calgary, Canada
4 Universities Joint International Conference
Conference presentation: “The travel behavior changes after surrendering the driver’s license-Evidence from Kumamoto.”
Zhiwei Zhang, Yuki Hamasaki, Yige Wang, & Takuya Maruyama · The University of Calgary
Technical skills
Programming and spatial analysis
R, Python, MATLAB, LaTeX; QGIS and ArcGIS.
Behavioral and statistical modeling
Discrete choice, count, sample-selection, latent class, latent profile, and clustering models.
Machine learning
Random forest, XGBoost, SHAP, SVM, KNN, decision trees, and graph convolutional neural networks.
Complex networks
Centrality, community detection, percolation theory, and cascade failure.