Revealing emotional responses to urban environmental elements through street view data and deep learning [0.03%]
基于街景数据和深度学习揭示对城市环境元素的情感反应
Li-Chih Ho,Yin-Ting Wei,Dongying Li et al.
Li-Chih Ho et al.
Environmental characteristics affect how individuals perceive an environment, and the emotions created by environmental characteristics originate from subjective feelings. Despite cities being crucial human living spaces, few studies have u...
Generating conceptual landscape design via text-to-image generative AI model [0.03%]
基于文本到图像的生成式AI模型的概念景观设计生成
Xinyue Ye,Tianchen Huang,Yang Song et al.
Xinyue Ye et al.
This study explores the integration of text-to-image generative AI, particularly Stable Diffusion, in conjunction with ControlNet and LoRA models in conceptual landscape design. Traditional methods in landscape design are often time-consumi...
Exploring the relationship between daytime and nighttime mobility and park visitation: A case study of Austin, TX [0.03%]
基于德克萨斯奥斯汀市的案例研究：探索白天和夜间活动与公园访问之间的关系
Rui Zhu,Yang Song,Galen Newman
Rui Zhu
Urban green space disparities persist amid rapid urbanization, widening the supply-demand gap between parks and developed area. Population density is a critical determinant in estimating park visitors, defining suitable park locations, and ...
A network-based analysis to assess COVID-19 disruptions in the Bogotá BRT system [0.03%]
基于网络的分析评估COVID-19对波哥大BRT系统的破坏作用
Juan D Garcia-Arteaga,Laura Lotero
Juan D Garcia-Arteaga
The global COVID-19 crisis has severely affected mass transit in the cities of the global south. Fear of widespread propagation in public spaces and the dramatic decrease in human mobility due to lockdowns have resulted in a significant red...
Urban form and COVID-19 cases and deaths in Greater London: An urban morphometric approach [0.03%]
城市形态与伦敦大都会冠状病毒病病例和死亡案例：都市形态学方法
Alessandro Venerandi,Luca Maria Aiello,Sergio Porta
Alessandro Venerandi
The COVID-19 pandemic generated a considerable debate in relation to urban density. This is an old debate, originated in mid 19th century's England with the emergence of public health and urban planning disciplines. While popularly linked, ...
Visualizing the uneven accessibility to nucleic acid testing services in Shenzhen under China's COVID control measures [0.03%]
在中国新冠防控措施下可视化深圳核酸检测服务的不均匀可达性
Zifeng Chen
Zifeng Chen
Under China's "dynamic zero" COVID-19 policy, Shenzhen required its residents to present a negative nucleic acid testing result within 24 or 48 h to access most public spaces and transit until most recently. The uneven accessibility to test...
Deploying geospatial visualization dashboards to combat the socioeconomic impacts of COVID-19 [0.03%]
部署地理空间可视化控制面板以应对COVID-19的经济社会影响
Sarbeswar Praharaj,Patricia Solis,Elizabeth A Wentz
Sarbeswar Praharaj
COVID-19 dashboards with geospatial data visualization have become ubiquitous. There is a growing sense of responsibility to report public health data pushing governments and community organizations to develop and share web-based dashboards...
COVID-19 pandemic and minority health disparities in New York City: A spatial and temporal perspective [0.03%]
纽约市新冠疫情中的少数群体健康差异分析：时空角度
Rui Li,Youqin Huang
Rui Li
New York City (NYC) was the epicenter of COVID-19 pandemic for a long time, and the government introduced a city-wide lockdown policy to mitigate the spread of virus. Minority communities, however, suffered disproportionally high percentage...
Predicting onset risk of COVID-19 symptom to support healthy travel route planning in the new normal of long-term coexistence with SARS-CoV-2 [0.03%]
预测COVID-19症状发病风险，支持后疫情时代常态化安全出行路线规划
Chengzhuo Tong,Wenzhong Shi,Anshu Zhang et al.
Chengzhuo Tong et al.
Due to the increased outdoor transmission risk of new SARS-COV-2 variants, the health of urban residents in daily travel is being threatened. In the new normal of long-term coexistence with SARS-CoV-2, how to avoid being infected by SARS-Co...
Monitoring the well-being of vulnerable transit riders using machine learning based sentiment analysis and social media: Lessons from COVID-19 [0.03%]
基于机器学习的情感分析和社交媒体监测疫情下易感人群的出行福祉：新冠疫情带来的启示
Martino Tran,Christina Draeger,Xuerou Wang et al.
Martino Tran et al.
Using open-source data, we show that despite significant reductions in global public transit during the COVID-19 pandemic, ∼20% of ridership continues during social distancing measures. Current urban transport data collection methods do no...