The application of latent class analysis for investigating influential factors for crashes involved cyclists in Toronto, Canada
The heterogenous nature of crash data has always been a challenging barrier in interpreting data processing results and in unrevealing the hidden relationships between crash contributing factors. Traffic researchers aim to eliminate the interruption of insignificant factors , identify influential fa...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/141902 |