Exploring contemporary public perceptions of historical redlining practices in the United States [0.03%]
探索美国历史上红色划界实践的当代公众认知
Yujian Lu,Xi Gong,Guiming Zhang et al.
Yujian Lu et al.
Redlining is a discriminatory practice of systematically denying loans or mortgages to residents in specific neighborhoods based on racial or ethnical composition. In current literature research, there is a lack of understanding of the publ...
Disentangling the impacts of collective mobility of residents and non-residents on burglary levels [0.03%]
居民与非居民集体出行对入室盗窃水平影响的分离研究
Tongxin Chen,Kate Bowers,Tao Cheng
Tongxin Chen
This study investigates how the collective mobility (including movement and visiting) of residents and non-residents affects neighbourhood burglary levels. While past research has linked mobility to urban crime, this study explores how thes...
Towards a digital twin for smart resilient cities: real-time fire and smoke tracking and prediction platform for community awareness (FireCom) [0.03%]
面向智慧韧性城市的数字孪生：社区意识实时火烟追踪和预测平台（FireCom）
Kijin Seong,Junfeng Jiao,Ryan Hardesty Lewis et al.
Kijin Seong et al.
This paper discusses the development and application of a digital twin (DT) for urban resilience, focusing on an integrated platform for real-time fire and smoke. The proposed platform, FireCom, adapts DT concepts for the unique challenges ...
Comparing XAI techniques for interpreting short-term burglary predictions at micro-places [0.03%]
对比解释微地点短期入室盗窃预测的XAI技术
Robin Khalfa,Naomi Theinert,Wim Hardyns
Robin Khalfa
This study empirically compares multiple eXplainable Artificial Intelligence (XAI) techniques to interpret short-term (weekly) machine learning-based burglary predictions at the micro-place level in Ghent, Belgium. While previous research p...
An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro [0.03%]
用于城市人类动态多模态分析的可解释GeoAI方法：里约热内卢COVID-19疫情的案例研究
David Hanny,Dorian Arifi,Steffen Knoblauch et al.
David Hanny et al.
The recent COVID-19 pandemic has underscored the need for effective public health interventions during infectious disease outbreaks. Understanding the spatiotemporal dynamics of urban human behaviour is essential for such responses. Crowd-s...
Edwar A Calderon,Jorge E Patino,Juan C Duque et al.
Edwar A Calderon et al.
The rapid growth of marginal settlements in the Global South, largely fueled by the resettlement of millions of internally displaced people (IDPs), underscores the urgent need for tailored housing solutions for these vulnerable populations....
Shih-Lung Shaw,Xinyue Ye,Michael Goodchild et al.
Shih-Lung Shaw et al.
The Symposium on Human Dynamics Research, first organized at the 2015 AAG Meeting in Chicago, celebrated its 10th anniversary at the 2024 AAG Meeting in Honolulu, marking a decade of transformative advancements in the field. Over the past d...
Neighborhood effects and consequences of criminal justice contact: a research framework [0.03%]
刑事司法接触的邻里效应及后果：一个研究框架
Ling Wu,Na Li
Ling Wu
This paper proposes a framework to examine how neighborhood factors influence criminal justice (CJ) contact and contribute to disparities across multiple stages of the justice process. By conceptualizing the punishment process as a dynamic ...
DownScaleBench for developing and applying a deep learning based urban climate downscaling- first results for high-resolution urban precipitation climatology over Austin, Texas [0.03%]
基于深度学习的都市气候降尺度开发与应用——德克萨斯奥斯汀高分辨率都市降水气候学首个成果报告(DownScaleBench)
Manmeet Singh,Nachiketa Acharya,Sajad Jamshidi et al.
Manmeet Singh et al.
Cities need climate information to develop resilient infrastructure and for adaptation decisions. The information desired is at the order of magnitudes finer scales relative to what is typically available from climate analysis and future pr...
Analyzing the impact of COVID-19 on the electricity demand in Austin, TX using an ensemble-model based counterfactual and 400,000 smart meters [0.03%]
基于集成模型反事实和40万智能电表分析COVID-19对德克萨斯州奥斯汀市电力需求的影响
Ting-Yu Dai,Praveen Radhakrishnan,Kingsley Nweye et al.
Ting-Yu Dai et al.
The COVID-19 pandemic caused lifestyle changes and has led to the new electricity demand patterns in the presence of non-pharmaceutical interventions such as work-from-home policy and lockdown. Quantifying the effect on electricity demand i...