结合街景图像识别和深度学习的不同行动能力老年人的街道步行适宜性研究——以南京城贤街社区为例（中国）

老年人根据身体能力分为独立型、辅助型和依赖型三类，他们在步行时对安全、舒适和兴趣有不同需求。研究通过街景图像选择网站收集老年人对不同街景的主观感知评分，分析街道建成环境因素与老年人步行感知之间的相关性。结果显示，绿化对所有类型老年人的步行感知有正面影响，街道家具对独立型老年人的步行兴趣有显著正面影响，而高建筑密度可能降低老年人的步行安全感。梯度提升模型在预测老年人步行感知评分方面表现出色，通过GIS可视化生成的步行性地图为城市规划者提供了直观参考工具。
The elderly are divided into three categories according to their physical abilities: independent, assisted and dependent. They have different needs for safety, comfort and interest when walking. The study collected the subjective perception scores of the elderly on different street scenes through the street view image selection website, and analyzed the correlation between the street built environment factors and the elderly's walking perception. The results show that greening has a positive impact on the walking perception of all types of older adults, street furniture has a significant positive impact on the walking interest of independent older adults, and high building density may reduce the walking safety of older adults. The gradient boosting model performs well in predicting the walking perception scores of the elderly, and the walkability map generated through GIS visualization provides an intuitive reference tool for urban planners.

利用大数据和深度学习技术对城市步行环境进行综合步行性评估

现有步行能力评估系统主要依赖客观测量，忽略了主观评估和城市空间元素的多样影响。提出新的综合评估框架，结合宏观指标、微观指标和步行偏好指标。利用大数据和深度学习技术，如语义分割和实例分割，对步行环境进行高效评估。以北京市五环路以内区域为研究对象，收集大量数据进行实证分析。研究发现，宏观指标在高密度城市中更准确反映步行能力，主客观指标存在显著差异和相似性，步行环境的不均衡分布可能与经济政策和社会福利不平等相关。
Existing walkability assessment systems mainly rely on objective measurements and ignore subjective assessments and the diverse effects of urban spatial elements. A new comprehensive assessment framework is proposed that combines macro-indicators, micro-indicators and walking preference indicators. Leverage big data and deep learning techniques such as semantic segmentation and instance segmentation for efficient assessment of walking environments. Taking the area within the Fifth Ring Road in Beijing as the research object, a large amount of data was collected for empirical analysis. The study found that macroscopic indicators more accurately reflect walking ability in high-density cities, that there are significant differences and similarities between subjective and objective indicators, and that the uneven distribution of walking environments may be related to economic policies and social welfare inequality.

评估城市步行性：工具和技术的全面回顾

本文探讨了步行性在城市设计中的重要性及其对公共健康、可持续性和生活质量的影响。文章回顾了步行性研究的历史，从20世纪初的城市规划理念到近年来的跨学科研究，特别是在交通、公共健康和环境心理学领域的发展。评估工具被分为结果导向型和过程导向型，并进一步细分为主观和客观测量工具，详细介绍了各类工具的特点和应用场景。具体分析了Walk Score、Walkonomics、NEWS、PEDS、Virtual-STEPS等主流评估工具的工作原理、数据来源和评估指标。此外，文章介绍了利用街景图像、深度学习和机器学习技术进行步行性自动化评估的最新进展，并分析了步行性评估工具的未来发展趋势，包括主观工具角色的转变、工具适用性的提高、数据收集技术的进步以及跨学科研究的融合。研究方法包括文献筛选、分类与比较、案例研究和趋势预测。研究结果展示了步行性评估工具的多样性、优势与局限性，以及自动化审计工具的潜力，并提出了未来研究的方向。
This article explores the importance of walkability in urban design and its impact on public health, sustainability and quality of life. The article reviews the history of walkability research, from urban planning concepts in the early 20th century to interdisciplinary research in recent years, particularly developments in the fields of transportation, public health, and environmental psychology. Assessment tools are divided into result-oriented and process-oriented, and further subdivided into subjective and objective measurement tools. The characteristics and application scenarios of each type of tools are introduced in detail. It specifically analyzes the working principles, data sources and evaluation indicators of mainstream assessment tools such as Walk Score, Walkonomics, NEWS, PEDS, and Virtual-STEPS. In addition, the article introduces the latest progress in automated walkability assessment using street view images, deep learning, and machine learning technologies, and analyzes the future development trends of walkability assessment tools, including the change in the role of subjective tools, the improvement of tool applicability, and data Advances in collection technology and the convergence of interdisciplinary research. Research methods include literature screening, classification and comparison, case studies and trend forecasting. The results demonstrate the diversity, strengths, and limitations of walkability assessment tools, as well as the potential of automated audit tools, and suggest directions for future research.

利用Unity引擎探索滑雪场大厅储物柜区域的空间布局以加强人际距离

本研究探讨了滑雪者行为对空间布局的影响，分析了滑雪服穿着等特殊行为如何影响人群流动和密度。通过Proxemics理论量化滑雪者之间的心理距离，探讨其对旅游满意度的影响。利用机器学习技术优化更衣室布局，平衡人群感知密度和空间利用效率。研究结果显示，优化后的“c”形布局相比传统“l”形布局，显著提升了交通流畅性和滑雪者舒适度，并提高了滑雪者对社交距离的满意度。该研究为冰雪运动设施的空间设计提供了数据驱动的决策支持。
This study explores the impact of skier behavior on spatial layout, analyzing how specific behaviors such as wearing ski clothing affect crowd flow and density. Quantify the psychological distance between skiers through Proxemics theory and explore its impact on tourism satisfaction. Use machine learning technology to optimize the layout of the locker room and balance the perceived density of the crowd and the efficiency of space utilization. Research results show that the optimized "c"-shaped layout significantly improves traffic flow and skier comfort compared with the traditional "l"-shaped layout, and improves skiers' satisfaction with social distance. This research provides data-driven decision support for the spatial design of ice and snow sports facilities.

零售空间整合到现有地铁站的布局评估和优化策略：基于代理的建模方法

文章分析了城市轨道交通系统中的运营亏损问题，强调增加非票务收入的重要性。探讨了将零售空间整合到地铁站中的潜力和挑战，并明确了通过优化零售空间布局来创造商业价值和缓解拥堵的目标。选取北京地铁4号线西苑站作为案例，通过MassMotion软件进行模拟分析，识别潜在零售空间位置，提出三种布局类型（Type 1、Type 2、Type 3），并比较其效果。建议Type 2（“C”形布局）适合传统零售单元，Type 3（开放式零售空间）提升可见性和消费潜力，但缓解拥堵效果略逊。研究方法和结果具有广泛的实践应用价值，可推广至其他大型公共空间。
The article analyzes the problem of operating losses in urban rail transit systems and emphasizes the importance of increasing non-ticketing revenue. The potential and challenges of integrating retail space into metro stations are explored, and the goals of creating commercial value and alleviating congestion through optimized retail space layout are identified. Xiyuan Station of Beijing Metro Line 4 was selected as a case, simulation analysis was conducted through MassMotion software, potential retail space locations were identified, three layout types (Type 1, Type 2, Type 3) were proposed, and their effects were compared. It is recommended that Type 2 ("C"-shaped layout) is suitable for traditional retail units, while Type 3 (open retail space) improves visibility and consumption potential, but has a slightly less congestion-relieving effect. The research methods and results have broad practical application value and can be extended to other large public spaces.