Hanbit Chang is a PhD candidate investigating the role of algorithms and Artificial Intelligence (AI) in advancing sustainable last-mile delivery. Her research explores how digital technologies shape the mobilities of people, goods, and data in cities. She examines how electrified transportation modes and AI-driven navigation systems shape urban streetscapes, particularly in the context of food and grocery delivery platforms and the growing demand for same-day services.

Hanbit’s doctoral work aims to promote environmentally and socially sustainable last-mile logistics. Her research investigates the increasing use of AI in managing delivery personnel through tools such as route optimization, dynamic pricing, and performance evaluation. By employing socio-technical and critical geographical analyses of mobility data and algorithms, she explores the interplay between technological innovation and the socio-spatial structures of cities.

Currently, Hanbit is collaborating with PostNL on a research project that examines the conceptualization and implementation of sustainable last-mile logistics. This work highlights the potential and challenges of deploying light electric freight vehicles in Zero Emission Zones, with the goal of enhancing urban livability by reducing air pollution and improving freight traffic flow.

Hanbit Chang holds a Master's degree in Human Geography and Planning from Utrecht University. Her thesis focused on commercial gentrification in Seoul, South Korea, exploring the ways in which images circulated among female millennials and their algorithmic representation on Instagram contribute to the aestheticization of the urban streetscape.

During her bachelor's studies, Hanbit pursued Urban Sociology and Seoul Studies at the University of Seoul. This program equipped her with a comprehensive interdisciplinary foundation, fostering her development as a researcher integrating sociology, urban planning, and economic geography.