From presence to perception: Quantifying human engagement with urban greenery using an AI-powered wearable eye-tracking device
Junghwan Kim, Shashank Karki, Sophiya Gyanwali, V. Chandramouli et autres
kr, us (code pays fourni par la source)
Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.
Junghwan Kim, Shashank Karki, Sophiya Gyanwali, V. Chandramouli et autres
kr, us (code pays fourni par la source)
Naser Ahmed, Jed Long, Junghwan Kim, Luyu Liu et autres
Despite the increasing frequency and intensity of heat waves driven by climate change, transportation research and practice have largely overlooked the need for heat-resilient transit planning. To address this gap, this study assesses heat stress and mitigation capacity within the walking catchment …
ca, us (code pays fourni par la source)
Xinyue Ye, James Nguyen H Spencer, Wei Li, Yuhao Kang et autres
Abstract This paper examines how artificial intelligence can be responsibly integrated into urban planning institutions, education, and community decision making. It explores the socio-technical frameworks needed to ensure that Urban AI supports equitable, transparent, and effective planning practice beyond methodological innovation alone. …
us, cn (code pays fourni par la source)
Fabiha Rahman, Robert Oliver, Thomas Crawford, Ralph Buehler et autres
In contemporary urban planning, the concept of the 15-min city (15-MC) is gaining significant attention. Prior studies on 15-MC often assume a constant walking speed, regardless of variations in urban topography and individual demographic characteristics. Since 15-MC access is frequently evaluated through …
us, ca (code pays fourni par la source)
Chaowei Yang, Anusha Srirenganathan Malarvizhi, Yahya Masri, Jennifer Seren Smith et autres
Digital twins (DTs) have evolved from domain-specific simulation tools into integrative cyber–physical–social infrastructures that reshape how complex systems are observed, modeled, and governed. Rather than treating DTs as digital replicas, this paper conceptualizes them as dynamic epistemic architectures that integrate observation, physics-based …
us (code pays fourni par la source)
Seul Lee, Taegeon Kim, Kabsung Kim, Junghwan Kim
Abstract The debate over administrative and experiential definitions of neighborhood boundaries has been a longstanding concern in urban geography and planning. While a substantial body of empirical work has examined administrative, behavioral, and perceptual representations of neighborhoods, these approaches have often been …
kr, us (code pays fourni par la source)
Sandesh Sharma Dulal, D. K. Jain, Zachary Sherman, Mengxi Zhang et autres
Interactive dashboards have become central tools for visualizing policy-relevant data, but they remain limited by rigid structures and technical complexity. Recent advances in large language model (LLM)-powered conversational AI offer a way to address these challenges, as LLMs can interpret unstructured natural …
us, cn (code pays fourni par la source)
H Zhang, Grant McKenzie, Junghwan Kim
Initially perceived as a potential adversary, generative AI has the capacity to benefit both educators and students when utilized properly. This technology is gaining momentum not only in geographic research but also in GIScience education. This chapter introduces generative AI and examines …
us, ca (code pays fourni par la source)
Henry Shaver, Junghwan Kim, Ehab Diab, Jinhyung Lee
ca, us (code pays fourni par la source)
Junghwan Kim, Nami Jain, Kee Moon Jang, Xinyue Ye
us (code pays fourni par la source)
Gunjan Barua, Miguel Pires, Junghwan Kim
Abstract Wildfire (WF) risk in the United States is escalating, yet conventional risk assessment methods often treat this risk as static. This study provides a national-scale comparison of purely spatial and spatiotemporal clustering methods to identify WF hotspots across the contiguous United …
us, de (code pays fourni par la source)
Heajun An, Connor Ng, Sandesh Sharma Dulal, Junghwan Kim et autres
Online scams increasingly leverage fluent and context-aware social engineering strategies, creating growing demand for AI systems that explain why a message may be risky. However, explanations that cite detector-derived evidence may still semantically weaken or redirect the intended risk interpretation. We introduce …
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