Career Profile
I am an urban researcher currently doing my doctoral training and research at the Delft University of Technology. I was trained in both disciplines of GIS and Urban Planning and practised with industries as an urban planner and GIS analyst.
Experiences
- Worked on ERC starting project with researchers from interdisciplinary and multi-cultural background.
- Demonstrated research excellence by passing the first-term qualifying examination two months ahead of the program average (10 months vs. 12 months).
- Developed and deployed the project website individually using Hugo for cost-effective hosting on GitHub. Managed ongoing website maintenance tasks.
- Proposed the method of scenario modelling and computer vision for cost-effective transportation data collection and analysis.
- Conducted the spatio-temporal mining of mobile GPS trajectories and public transportation check in and out records (100 GB level) with ArcGIS Pro, Python; a book chapter published.
- Managed and analysed wide range of data types from structural to textual format with Python, PostgreSQL, PostGIS; two papers published.
- Teaching Python and QGIS to non-quant graduate student (taught in 19-20 Jan 2023 and 17-19 May 2023).
Engaged in Local Land Charges Program of HM Land Registry. Responsible for digitalization and reforming as per client specifications. It requires a proficiency in GIS software, ability to work both independently and collaboratively with other Analysts, along with high attention to detail.
Contributed to the special reports on demographic data analysis and prediction for the territory development plan of Shunde, Guangdong, China.
Contributed to the special reports on analysis of land use, tourism and trade for the territory development plan framework, Yiwu, Zhejiang, China.
Individually responsible for analysing the spatial pattern of rural areas based on ArcGIS; Ten pages report of identifying Central Activities Zone (CAZ) of Pudong, Shanghai, based on evaluated POI dataset; Cleansed and Visualized geographic data through PostgreSQL, Tableau, and Kepler.gl.
Skills & Proficiency
| Proficient | Familiar | |
|---|---|---|
| Languages | PostgreSQL, Python, LaTeX | R, HTML/CSS |
| Frameworks | WordPress, Hugo | Django |
| Libraries | Pandas, NumPy, Matplotlib, Seaborn, PySAL | Psycopg2, ggplot2 (R), PyQGIS, ArcPy |
| Analysing Methods | Spatio-temporal pattern identification Spatial statistics, Clustering method, Time series forecasting, Micromodelling | Space syntax, Machine learning, Optimisation method, Topic modelling, Remote sensing |
| Developer Tools | Git, VS Code | Vim (Linux), Google Cloud Platform |
| Visualisation Tools | Photoshop, Indesign, Illustrator | Premiere |
| 3D Tools | Rhino, SketchUP | Blender |
Publications
Harvey, N. and Li, B. (2024) ‘Polycentricity in a City State? Regional Centres as Singapore’s Exceptional Socio-Spatial Development Project’, in The City Rebooted: Networks, Connectivity and Place Identities in Singapore. Singapore, Singapore: World Scientific. DOI: 10.1142/13719.
Chan, F.H.H, Goh, E.E.Y, Li, B. and Choi, Y.K. (2024) ‘Through the Looking Glass: Everyday Urbanism in a Pandemic City 2020–2022’, in The City Rebooted: Networks, Connectivity and Place Identities in Singapore. Singapore, Singapore: World Scientific. DOI: 10.1142/13719.
Chng, S., Neo, H., Tan, A., Li, B. (2023). The Role of Labour Unions in a Just Transition: Insights from the Workers. Singapore Labour Journal, 2, 39-53. DOI: 10.1142/S2811031523000141
Feng, W., Li, B., Chen, Z., Liu, P. (2021). City Size Based Scaling of the Urban Internal Nodes Layout. PLOS ONE, 16 (4): e0250348. DOI: 10.1371/journal.pone.0250348
Feng, W., Song, P., Li, B. (2021). Application of Multi-agent System in Land Use Decision-Making of Industrial Park: A Case Study of Tianfo Health Industrial Park, Shandong. Spatial Data and Intelligence. SpatialDI 2020. DOI: 10.1007/978-3-030-69873-7_10
Feng, W., Li, B., Kong, L. (2019). Urban Land Use Layout Agent-based Model Research Based on Baidu POI Data. 16th International Conference on Computer in Urban Planning and Urban Management. CUPUM 2019.