一、、教育背景
2008.09 - 2012.07 武汉大学,遥感信息工程学院,工学学士
2008.09 – 2012.07 武汉大学,WTO学院,经济学学士(辅修)
2012.09 - 2015.07 武汉大学,遥感信息工程学院,理学硕士
2015.09 - 2019.12 武汉大学,遥感信息工程学院,工学博士
2015.09 - 2020.09 香港理工大学,测绘与地理资讯学系,哲学博士(联合培养)
二、工作经历
2015.02 — 2015.05 香港理工大学,研究助理
2020.06— 2023.06 中山大学,助理教授
2023.06至今 中山大学,副教授
三、研究兴趣
城市地理信息系统、环境健康与暴露、时空数据建模与分析
四、科研项目
- 2022.01-2024.12,国家自然科学基金青年项目,全球地表覆盖分类数据无参考精度估计方法研究,主持
- 2023.01-2025.12,广东省自然科学基金-面上项目,基于人群活动幂律特征的城市绿地服务能力评价及其时空变化研究—以深圳市为例,主持
- 2026.01-2026-12,中山大学医工融合种子基金项目,融合遥感与地理信息技术的城市眼健康环境暴露评估与干预机制研究,主持
- 2024.04-2024.12,技术服务项目,基于城市大数据的住宅单元多粒度划分关键技术与应用服务项目,主持
- 2025.09-2028.07,技术服务项目,多城市眼健康环境风险指标计算与街景可视化制图服务,主持
五、学术论文
Chen, P.*, Gong, M., & Li, S. (2025). The cost-balanced accessibility (CBA) model: a new framework for measuring urban accessibility with multi-objective considerations. International Journal of Geographical Information Science, 1-24.
Ma, Y., Chen, P.*, Gong, M., Cai, Y., & JIaN, I. Y. (2025). The First Seasonal Green View Index Mapping Dataset across Chinese cities powered by deep learning. Scientific Data, 12(1), 1356.
Ma, Y., Chen, P.*, Qin, Y., Yang, Z., & Li, S. (2025). From Sky to Ground: Monitoring Visible Street Greenery via Multisource Remote Sensing Imagery with Deep Learning. Urban Forestry & Urban Greening, 128866.
Qin, Y., Ma, Y., Gong, M., Li, S., & Chen, P.* (2025). Investigating the Serviceability of Urban Green Spaces from a Spatial Perspective: A Comparative Study Across 368 Cities on the Chinese Mainland. Land, 14(4), 711.
Jian, I. Y., Yao, T. Y., Mo, K. H., Chen, P., Chen, W., & Yu, Y. (2025). Inclusive beyond the swings and slides: Exploring access and equity in Hong Kong's playground. Habitat International, 156, 103276.
Jian, I. Y., Mo, K. H., Chen, P.*, Ye, W., Siu, K. W. M., & Chan, E. H. (2024). Navigating between private and public: Understanding publicness of public open spaces in private developments in Hong Kong. Journal of Urban Management, 13(4), 787-799.
Chen, P., Chen, R., Cheng, X., Yang, K., & Chen, Z. (2024). GrIS-MDM: A Hydrology Knowledge-Based Framework Combining Deep Learning Network for Moulin Detection Using Ultrahigh-Resolution UAV Imagery. IEEE Transactions on Geoscience and Remote Sensing.
Li, S., Chen, P.*, Hui, F., & Gong, M. (2024). Evaluating urban vitality and resilience under the influence of the COVID-19 pandemic from a mobility perspective: A case study in Shenzhen, China. Journal of Transport Geography, 117, 103886.
Chen, P., Jian, I. Y., Zhang, L., Siu, K. W. M., Liu, J., Liu, Z., & Chen, X. (2024). Towards a smart healthy city: A generalised flow-based 2SFCA method for incorporating actual mobility data in healthcare accessibility evaluation. Travel Behaviour and Society, 34.
Liu, J., Wang, M., Chen, P.*, Wen, C., Yu, Y., & Chau, K. W. (2024). Riding Towards a Sustainable Future: An Evaluation of Bike Sharing's Environmental Benefits in Xiamen Island, China. Geography and Sustainability.
Liu, J., Yu, Y., Chen, P., Chen, B. Y., Chen, L., & Chen, R. (2023). Facilitating urban tourism governance with crowdsourced big data: A framework based on Shenzhen and Jiangmen, China. International Journal of Applied Earth Observation and Geoinformation, 124, 103509.
Chen, P., Huang, H., Shi, W., & Chen, R. (2023). A Reference-Free Method for the Thematic Accuracy Estimation of Global Land Cover Products Based on the Triple Collocation Approach. Remote Sensing, 15(9), 2255.
Wang, S., Sun, Q., Chen, P.*, Qiu, H., & Chen, Y. (2023). Location Scheme of Routine Nucleic Acid Testing Sites Based on Location-Allocation Models: A Case Study of Shenzhen City. ISPRS International Journal of Geo-Information, 12(4), 152.
Chen, P., Zhang, D., Liu, J.*, & Jian, I. Y. (2022). Assessing personal exposure to COVID-19 transmission in public indoor spaces based on fine-grained trajectory data: A simulation study. Building and Environment, 109153.
Chen, P., Huang, H., & Shi, W.* (2022). Reference-free method for investigating classification uncertainty in large-scale land cover datasets. International Journal of Applied Earth Observation and Geoinformation, 107, 102673.
Zhang, L., Chen, P.*, & Hui, F. (2022). Refining the accessibility evaluation of urban green spaces with multiple sources of mobility data: A case study in Shenzhen, China. Urban Forestry & Urban Greening, 70, 127550.
Liu, Z., Shi, W.*, Yu, Y., Chen, P., & Chen, B. Y. (2022). A LSTM-based approach for modelling the movement uncertainty of indoor trajectories with mobile sensing data. International Journal of Applied Earth Observation and Geoinformation, 108, 102758.
Shen, X., Shi, W.*, Chen, P., Liu, Z., & Wang, L. (2022). Novel model for predicting individuals’ movements in dynamic regions of interest. GIScience & Remote Sensing, 1-22.
Shi, W., Chen, P.*, Shen, X., & Liu, J. (2021). An adaptive approach for modelling the movement uncertainty in trajectory data based on the concept of error ellipses. International Journal of Geographical Information Science, 35(6), 1131-1154.
Chen, P.*, Fu, X., & Wang, X. (2021). A Graph Convolutional Stacked Bidirectional Unidirectional-LSTM Neural Network for Metro Ridership Prediction. IEEE Transactions on Intelligent Transportation Systems.
Shi, W., Liu, Z.*, An, Z., & Chen, P. (2021). RegNet: a neural network model for predicting regional desirability with VGI data. International Journal of Geographical Information Science, 35(1), 175-192.
Liu, J., Shi, W.*, & Chen, P. (2020). Exploring travel patterns during the holiday season—A case study of Shenzhen Metro system during the Chinese Spring festival. ISPRS International Journal of Geo-Information, 9(11), 651.
Chen,S., Shi, W., Zhou, M.*, Zhang, M., & Chen, P. (2020). Automatic Building Extraction via Adaptive Iterative Segmentation with LiDAR Data and High Spatial Resolution Imagery Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 2081-2095.
Chen,P.,Shi, W.*, Zhou, X., Liu, Z., & Fu, X. (2019). STLP-GSM: a method to predict future locations of individuals based on geotagged social media data. International Journal of Geographical Information Science, 33 (12),2337-2362.
Chen,P.,Shi, W.*, and Kou, R. (2019). Reference-Free Measurement of the Classification Reliability of Vector-Based Land Cover Mapping. IEEE Geoscience and Remote Sensing Letters, 16 (7), 1090 - 1094.
Wan,Y., Deng, C.*, Wu, T.*, Jin, R., Chen, P., & Kou, R. (2019). Quantifying the Spatial Integration Patterns of Urban Agglomerations along anInter-City Gradient. Sustainability, 11 (18), 5000.
Fang,B., Kou, R.*, Pan, L., & Chen, P.(2019). Category-Sensitive Domain Adaptation for Land Cover Mapping in Aerial Scenes. Remote Sensing, 11(22),2631.
Chen,P., Shi, W.*, Kou, R., and Wan, Y. (2018). A quantitative investigation of the uncertainty associated with mapping scale in the production ofland-cover/land-use data. International Journal of Remote Sensing, 39(23), 8798–8817.
Chen P.and Shi, W.* (2018). Measuring the Spatial Relationship Information of Multi-LayeredVector Data. ISPRS International Journal of Geo-Information, 7 (3), 88.
Shi,W.*, Chen, P., Zhang, X. (2017). Reliability Analysis in Geographical Conditions Monitoring. Acta Geodaetica et Cartographica Sinica, 46 (10):1620-1626.
Wan,Y., Shi, W.*, Gao, L., Chen, P., & Hua, Y. (2015). A general framework for spatial data inspection and assessment. Earth Science Informatics, 8(4), 919-935.
六、获得奖励
获奖名称 | 组织单位及奖项级别 | 获奖时间 |
中山大学第十三届教师教学竞赛 | 中山大学,教学创新赛道一等奖 | 2025 |
Smart City Technology Innovation Award | The International Society for Urban Informatics, BronzeMedal | 2025 |
Smart City Research and Innovation Scheme (SCRIS) | The International Society for Urban Informatics, First Prize | 2023 |
中山大学第十届教学成果奖 | 中山大学,二等奖 | 2021 |
王之卓创新人才奖学金 | 武汉大学 | 2018 |
测绘科技进步奖 | 中国测绘地理信息学会,特等奖(14/26) | 2017 |