Geographically Weighted Regression as a Predictive Tool for Station-Level Ridership : The Case of Stockholm
This thesis studies a new regression method, Geographically Weighted Regression (GWR)to predict ridership at the station level for future stations. The case study of Stockholm’s blue lineis used as new stations will be built by 2030. This paper is written in English.Historically, linear regression m...
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| Format: | Others |
| Language: | English |
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KTH, Transportplanering
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259500 |