使用街景图像和 Strava Metro 数据调查建筑环境与骑行行为之间的关联：澳大利亚悉尼市的案例研究

骑行在促进健康和构建可持续城市中起重要作用。研究探讨了建成环境特征与骑行行为的关系，发现街道绿化、自行车道等与骑行频率正相关，而天空开阔度和封闭感则负相关。市中心骑行频率高，但绿化和水域视图较低，郊区则相反。绿化对两种骑行均有正面影响，水域视图对休闲骑行有正面影响。
Cycling plays an important role in promoting health and building sustainable cities. The study explored the relationship between built environment characteristics and cycling behavior and found that street greening, bicycle lanes, etc. were positively correlated with cycling frequency, while sky openness and closedness were negatively correlated. The city center has high cycling frequency but low greenery and water views, while the opposite is true in the suburbs. Greenery has a positive impact on both types of riding, and water views have a positive impact on recreational riding.

探索影响女性在地铁站和邻近建筑环境中感知不安全感的视觉因素

文章探讨了女性在地铁车站及周边环境中的安全感问题，分析了视觉因素对女性安全感的影响。研究发现，墙壁、未铺设区域等对女性安全感有负面影响，而树木、汽车、路灯等则有正面影响。通过构建回归模型，建立了多维评价系统，为优化地铁环境提供了依据。
The article discusses the issue of women's sense of security in subway stations and surrounding environments, and analyzes the impact of visual factors on women's sense of security. The study found that walls, unpaved areas, etc. have a negative impact on women's sense of security, while trees, cars, street lights, etc. have a positive impact. By constructing a regression model, a multi-dimensional evaluation system is established, which provides a basis for optimizing the subway environment.

基于GAN的北京传统住宅小区室外热舒适度建模

本文研究了在全球气候变暖背景下，城市热浪事件对居民健康和生活质量的影响。研究目的在于解决传统数值模拟方法在计算户外热舒适度（UTCI）时的高成本和低效率问题。通过提出基于生成对抗网络（GAN）的UTCI预测方法，实现了快速、准确的户外热舒适度评估。研究方法包括借助Rhino/Grasshopper平台构建城市模型、使用Ladybug和Eddy3D插件进行气候模拟、基于TensorFlow框架训练pix2pix对抗网络模型，并通过实验验证了模型的预测性能。研究结果表明，pix2pix模型在预测城市环境舒适度方面表现出色，显著提高了预测速度并降低了数据收集成本，为城市设计和可持续建设提供了科学依据。
This article studies the impact of urban heat wave events on residents' health and quality of life in the context of global climate warming. The purpose of the research is to solve the high cost and low efficiency problems of traditional numerical simulation methods in calculating outdoor thermal comfort (UTCI). By proposing a UTCI prediction method based on a generative adversarial network (GAN), a fast and accurate outdoor thermal comfort assessment is achieved. Research methods include using the Rhino/Grasshopper platform to build city models, using Ladybug and Eddy3D plug-ins for climate simulation, training the pix2pix adversarial network model based on the TensorFlow framework, and verifying the prediction performance of the model through experiments. Research results show that the pix2pix model performs well in predicting urban environmental comfort, significantly improves prediction speed and reduces data collection costs, providing a scientific basis for urban design and sustainable construction.

街道建筑环境对 SARS-CoV-2 传播的影响：以香港为例

本研究探讨了街道级建成环境（SLBE）对SARS-CoV-2传播风险（SSTR）的影响，重点关注香港疫情的前五波。研究发现，在高风险区域，街道人行道、卫生设施和人工结构是主要风险因素；在低风险区域，交通控制设施与SSTR正相关。不同疫情波次中，SLBE特征的影响有所不同，随机森林模型在解释SSTR与SLBE的非线性关系上表现最佳。研究提出了优化SLBE以降低传播风险的政策建议，为城市规划和政策制定提供参考。
This study explores the impact of street-level built environment (SLBE) on SARS-CoV-2 transmission risk (SSTR), focusing on the first five waves of the epidemic in Hong Kong. The study found that in high-risk areas, street sidewalks, sanitation facilities and artificial structures are the main risk factors; in low-risk areas, traffic control facilities are positively related to SSTR. In different epidemic waves, the impact of SLBE characteristics is different, and the random forest model performs best in explaining the nonlinear relationship between SSTR and SLBE. The study puts forward policy recommendations for optimizing SLBE to reduce transmission risks, providing a reference for urban planning and policy formulation.

上海市养老助餐空间可达性及其影响因素研究

本文拟解决的科学问题在于：基于生活圈尺度视角，如何评价上海市助餐设施与老年人口的匹配情况，如何划定分割标准进行助餐可达性水平评价，如何计算各小区目前的助餐设施缺失数量，如何评价上海市助餐空间布局的均衡性，以及在此基础上如何识别助餐可达性分布的影响因素。
The scientific problems that this paper aims to solve are: Based on the perspective of life-circle scale, this paper discusses how to evaluate the match between the assisted meal facilities and the elderly population in Shanghai, how to delimit the segmentation criteria to evaluate the level of assisted meal accessibility, how to calculate the number of missing assisted meal facilities in each community, how to evaluate the balance of the spatial layout of assisted meal in Shanghai, and how to identify the influencing factors of the distribution of assisted meal accessibility on this basis.