Advisors: Prof. Lee Der-Horng, Dr. Siyu Hao, Prof. Jiangang Jin- Proposed a new conception to understand metropolitan mobility as words
- Independently selected mobility features then trained stacked autoencoder network to discover mobility semantics
- Applied topic modeling (TF-IDF+SVD+LDA) on scraped POI data to find service semantics
- Geodata visualization with Python
- A working paper is under construction
Understanding the bike sharing travel demand and cycle lane network: the case of Shanghai doi Shanghai Jiao Tong University, Mar. 2017~ June. 2018
Advisor: Prof. Jiangang Jin
- Proposed methods to scrape data from bike-sharing application
- Applied graphic clustering to mine the insight of bike-sharing data
- Suggested a method to explore cycle lane network then presented advice for urban planning
- Paper accepted by 6th T-LOG, TSTE 2018 and submitted to Journal of Transport Geography