研究主线
我关注 route-based 的视觉感知行人可达性:从日常服务可达的步行路线出发,识别沿途半永久、 常见且不完全遮挡通行,却会降低行走意愿的负面街景实物,如密植、停车、墙栅等,并将这些观测 转化为与感知体验相关的空间指标。
Urban AI · Street-view Perception · Pedestrian Accessibility
博士研究员,研究城市视觉感知、行人可达性与智能城市数据分析。研究工作将街景图像、 计算机视觉、空间网络与感知评价结合起来,构建面向人本规划的可解释指标。
PhD researcher working across urban visual perception, pedestrian accessibility, and intelligent city analytics. The research combines street-view imagery, computer vision, spatial networks, and perception-based evaluation for human-centred planning.
Research Focus
我关注 route-based 的视觉感知行人可达性:从日常服务可达的步行路线出发,识别沿途半永久、 常见且不完全遮挡通行,却会降低行走意愿的负面街景实物,如密植、停车、墙栅等,并将这些观测 转化为与感知体验相关的空间指标。
The research measures route-based visual accessibility for pedestrians: starting from everyday service-access walking routes, it identifies semi-permanent and common streetscape objects that do not fully block movement but can reduce willingness to walk, such as dense vegetation, parked vehicles, walls, and fences, then translates these observations into perception-sensitive spatial metrics.
Selected Research Figures
Selected current figures are grouped by research logic: methodological framework, route-based mapping, visual impediment maps, and optimization analysis.
Framework
A current methodological figure connecting study areas, everyday destinations, street-view sampling, visual impediment detection, perceptual weighting, and PWI mapping.
Selected Work
2025 · PhD research
构建 PWI 方法,将街景视觉阻碍、15 分钟步行机会与街段人口暴露联系起来。
Develops PWI methods linking visual impediments, walking opportunities, and population exposure at street-segment scale.
2025 · Loughborough in Motion / Town Observatory
参与地方城市数据平台与交互式可视化研究,支持社区反馈与公共决策。
Contributes to local urban data platforms and interactive visualization for community feedback and decision support.
2024 · UKRI Branching Out
使用 GIS 与交互原型支持城市林地规划,探索 AI 生成内容在社区参与中的作用。
Used GIS and interaction prototyping to support treescape planning and AI-mediated community participation.
Education & Experience
2022.10 - 2026.09 Est. · Loughborough University
2022.10 - 2026.09 Est. · Loughborough University
2020.10 - 2021.12 · University College London
2020.10 - 2021.12 · University College London
2016.09 - 2020.07 · 浙江工商大学
2016.09 - 2020.07 · Zhejiang Gongshang University
2023.04 - 2023.10 · 英国拉夫堡
2023.04 - 2023.10 · Loughborough, UK
2022.02 - 2022.08 · 中国上海
2022.02 - 2022.08 · Shanghai, China
Project Activity
Selected moments from project engagement, workshop facilitation, teaching, and research assistant work.
Seminar facilitation and teaching around computer vision, spatial analysis, and urban perception methods.
Research assistant work supporting interdisciplinary collaboration and digital urban resilience projects.
Academic presentation on pedestrian-centred accessibility measurement through street-view imagery.
Writing & Teaching
连续三年承担教学助理与课程支持工作,参与《高级城市规划理论》《QGIS 软件实践》《MATLAB 编程技巧》等课程备课、课件制作、课堂组织、软件演示、技术答疑,并负责部分专题内容的独立讲授。
Three years of teaching assistance and course delivery support for Advanced Urban Planning Theory, QGIS practical sessions, and MATLAB programming, including lesson preparation, slide development, classroom coordination, software demonstrations, technical troubleshooting, and independent delivery of selected teaching sessions.
持续参与本科与硕士研究指导,协助学生推进研究设计、数据分析、技术实现与可视化表达,支持跨学科研究协作。
Supported undergraduate and MSc research supervision across research design, data analysis, technical implementation, and visual communication.
参与 AESOP、CUPUM、Space Syntax Symposium、RGS-IBG 等国际会议展示与合作研究沟通,负责议程协调、材料整理、评审跟进与跨文化沟通。
Contributed to international conference presentations and collaborative research communication across AESOP, CUPUM, Space Syntax Symposium, and RGS-IBG, including agenda coordination, material preparation, review follow-up, and cross-cultural communication.
Contact
欢迎就研究合作、学术交流与城市数据可视化项目联系我。
Get in touch
Open to research conversations, collaborations, and data-informed urban design projects.