Shuyan Wan
Biographic Data
| ID | 9438905 |
|---|---|
| NAME | Shuyan Wan |
| GIVEN NAMES | Shuyan |
| FAMILY NAME | Wan |
| SIGNATURE | WAN S |
| AFFILIATIONS | Concordia University |
| ORCID | 0000-0001-5437-1796 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Enhancing urban sustainability
Green infrastructure (GI) is a vital strategy for climate change adaptation and urban sustainability, yet integrating its multifunctionality remains significantly challenging. This study develops a sustainability-oriented optimization framework for GI systems, incorporating emergy analysis, multi-objective optimization, and regional climate models. It highlights a sound cross-domain assessment and addresses real-world challenges such as limited d…
Quantifying weather-induced unreliable public transportation service in cold regions under future climate model scenarios
Climate change, particularly in cold regions, significantly challenges public transportation systems. This study conducts a comprehensive analysis of weather patterns and public transit reliability in the context of climate change impacts. Leveraging advanced modeling techniques, including a ridge regression model for snow water equivalent data estimation and a long short-term memory (LSTM) based on recurrent neural network, the study aims to ass…
Insights into the urban municipal solid waste generation during the Covid-19 pandemic from machine learning analysis
A cross-jurisdictional comparison on residential waste collection rates during earlier waves of Covid-19
No prominent works on this page.
A cross-jurisdictional comparison on residential waste collection rates during earlier waves of Covid-19
Quantifying weather-induced unreliable public transportation service in cold regions under future climate model scenarios
Climate change, particularly in cold regions, significantly challenges public transportation systems. This study conducts a comprehensive analysis of weather patterns and public transit reliability in the context of climate change impacts. Leveraging advanced modeling techniques, including a ridge regression model for snow water equivalent data estimation and a long short-term memory (LSTM) based on recurrent neural network, the study aims to ass…
Insights into the urban municipal solid waste generation during the Covid-19 pandemic from machine learning analysis
Enhancing urban sustainability
Green infrastructure (GI) is a vital strategy for climate change adaptation and urban sustainability, yet integrating its multifunctionality remains significantly challenging. This study develops a sustainability-oriented optimization framework for GI systems, incorporating emergy analysis, multi-objective optimization, and regional climate models. It highlights a sound cross-domain assessment and addresses real-world challenges such as limited d…
Engineering (3 works) · Environmental Science (3 works) · Geography (3 works) · Business (2 works) · Computer Science (2 works) · COVID-19 impact on air quality (2 works) · Economics (2 works) · Environmental planning (2 works) · Healthcare and Environmental Waste Management (2 works) · Municipal Solid Waste Management (2 works)