45 citations · 56 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
Diversity beyond density: experienced social mixing of urban streets
Zhuangyuan Fan, Tianyu Su, Maoran Sun +4
Urban density, in the form of residents' and visitors' concentration, is long considered to foster diverse exchanges of interpersonal knowledge and skills, which are intrinsic to s…
CityScopeAR: Urban Design and Crowdsourced Engagement Platform
Ariel Noyman, Yasushi Sakai, Kent Larson
Processes of urban planning, urban design and architecture are inherently tangible, iterative and collaborative. Nevertheless, the majority of tools in these fields offer virtual e…
Finding Places: HCI Platform for Public Participation in Refugees Accommodation Process
Ariel Noyman, Tobias Holtz, Johannes Kroger +2
This paper describes the conception, development and deployment of a novel HCI system for public participation and decision making. This system was applied for the process of alloc…