3 papers
cs.HC2026
Gridnberg: A Topography-Aware Pedestrian Routing Dataset for New York City
Ariel Noyman
Cities are rarely flat, yet urban network analysis usually represents streets as planar graphs. This simplification affects modeled impedance, route choice, and the interpretation…
cs.AI2025
Graph RAG as Human Choice Model: Building a Data-Driven Mobility Agent with Preference Chain
Kai Hu, Parfait Atchade-Adelomou, Carlo Adornetto +5
Understanding human behavior in urban environments is a crucial field within city sciences. However, collecting accurate behavioral data, particularly in newly developed areas, pos…
cs.AI2024
TravelAgent: Generative Agents in the Built Environment
Ariel Noyman, Kai Hu, Kent Larson
Understanding human behavior in built environments is critical for designing functional, user centered urban spaces. Traditional approaches, such as manual observations, surveys, a…