Human Mobility & Travel Behavior
Analyzing how people structure their daily movements and what shapes destination choices across urban and rural contexts.
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PhD · Geography · UC Santa Barbara
Geospatial data scientist bridging human mobility, GeoAI, and urban systems to make cities more accessible, equitable, and intelligently navigated.
Growing up in rural Guizhou, China, I was first appointed class leader at age six — not because anyone asked if I wanted to, but because someone had to. That sense of stewardship has shaped everything since. When I volunteered for typhoon cleanup at my university in Xiamen and stood among uprooted trees and damaged streets for the first time, I felt the raw tension between nature's force and the fragile city we call home. That moment became a compass.
My research journey has taken me from tourism geography to ecological network construction, from land-use spatial planning across China's provinces to analyzing human mobility patterns with federal survey data in California. What looks like a winding path is, in fact, a deepening question: how does spatial structure shape outcomes — for people, for ecosystems, for the communities we build?
"I don't want human beings to pollute beautiful garden cities. I don't want haze to cover the blue sky! I am on the right track to protect mother earth!"
— Personal Statement
I was six years old and already class leader in a small village school in Guizhou. I did not fully understand what that meant at the time, but I understood the feeling — being the person who makes sure no one gets left out, who notices the quiet kid, who holds things together so everyone can do their part. That instinct has never left me. It followed me through seven summers of fieldwork across rural China, through a typhoon cleanup in Xiamen where strangers became a team in hours, and through a twenty-person land survey crew I coordinated in Hubei, where the best insight of the entire project came from a surveyor I almost did not think to ask. The pattern is always the same: the work gets better when everyone in the room feels like they belong there.
I have studied at five institutions across two countries, and the thing that has shaped me most at each one was never the curriculum — it was whether I found people I could grow alongside. A good team changes everything. It changes the questions you think to ask, the mistakes you are willing to make, and the kind of work you are brave enough to try. I care deeply about the research problems I work on — mobility, accessibility, who gets included in the design of cities — but I care about them because they are fundamentally about people being seen. And I have learned that you cannot do justice to that kind of question from inside a silo. It requires people who challenge you, support you, and hold you accountable to the communities the work is meant to serve.
What I want to build going forward is not just a body of research. It is an environment — a lab culture, a collaboration, a room — where people from different backgrounds bring their full perspective and feel safe doing it. Where junior members are heard, where fieldwork is a conversation and not just data collection, and where the human stakes of the work stay visible in every meeting, every model, every result. That is the kind of place where I do my best thinking. I want to help create it for others, too.
Analyzing how people structure their daily movements and what shapes destination choices across urban and rural contexts.
Applying machine learning and AI to geographic data for pattern recognition, prediction, and planning insights.
Measuring who can reach what, and designing frameworks that expose and address spatial disparities.
Evaluating vehicle miles traveled, fleet structures, and modal shifts to inform sustainable transport policy.
Processing multi-source satellite imagery to track landscape change, ecological health, and infrastructure conditions.
Integrating landscape ecology with urban planning to build resilient, connected natural systems.
From California freeways to Dominican mangroves — my work spans scales, systems, and continents.
Using 2017 NHTS California data (N=28,404), I developed a dwell-time-weighted Activity Space Indicator measuring how far people actually commit their daily time. Through Spatial Error Models and Geographically Weighted Regression, the work reveals that individual capabilities (worker status, driver license, vehicle access) dominate activity space extent, while the effect of accessibility is spatially variable — compressing travel in dense urban cores but having little effect in rural areas.
View Related PublicationCo-authored investigation into correlations between annual vehicle miles traveled (VMT) and household fleet composition and fuel types using paired 2017 and 2022 NHTS data. Accepted for presentation and publication at the World Conference on Transport Research, Toulouse, France.
Processed multi-source geospatial data to map mangrove area and canopy height distributions across the Montecristi Wetlands. Designed spatial optimization models for inventory plot allocation and analyzed 10-year mangrove decline (2013–2023). Presented at SWAAG/AGX 2024.
Created soil maps from the gSSURGO database to support underground pipe service life evaluation across Charlotte. Improved the Pipe Assessment and Selection Software (PASS) by converting legacy VBA code to Python, enabling scalable and reproducible stormwater infrastructure prediction.
Designed an interactive mapping template using Esri Experience Builder to visualize climate inequality indicators and community resilience metrics across Charlotte neighborhoods. Provided training for city partners on adding maps, updating datasets, and interpreting spatial equity indicators.
Contemporary Tourism, 2019(3): 70–75.
2019
World Conference on Transport Research (WCTR 2026), Toulouse, France.
2026
AAG Annual Meeting, Minneapolis, MN.
2026
SWAAG/AGX, San Marcos, TX.
2024
32nd Graduate Sci-tech Forum, China University of Geosciences.
2021
Conducted lab sessions for spatial and transportation data analysis; guided students in R/RStudio spatial statistics.
Developed lab materials for spatial clustering, spatial autocorrelation, and spatial regression analysis; led weekly lab sessions using R/RStudio.
Assisted with introductory world geography course; graded assignments and supported student learning.
Collated research outcomes; designed course practical plans and assessed final assignments.
$600 · UCSB Geography
$1,100 · UNC Charlotte
3 consecutive years · China University of Geosciences
3 consecutive years · Ministry of Education, China
China University of Geosciences
College of Tourism · Huaqiao University
Top ~5% nationally · China University of Geosciences
Huaqiao University
National selection · 200 teams across China · Ministry of Culture and Tourism
Huaqiao University
3 consecutive years · Ministry of Education, China
4 consecutive years · Ministry of Education, China
Huaqiao University
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Open to research collaborations, speaking invitations,
and conversations about geospatial science and urban equity.