Identification and Quantification of Node Criticality through EWM–TOPSIS: A Study of Hong Kong's MTR System.
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- Urban Rail Transit, 2021, v. 7, n. 3, p. 226, doi. 10.1007/s40864-021-00155-6
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- Article
Works matching IS 21996687 AND DT 2021 AND VI 7 AND IP 3
Results: 6
1
2
TOD Typology Based on Urban Renewal: A Classification of Metro Stations for Ningbo City.
- Published in:
- Urban Rail Transit, 2021, v. 7, n. 3, p. 240, doi. 10.1007/s40864-021-00153-8
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- Publication type:
- Article
3
Understanding the Impact of Street Patterns on Pedestrian Distribution: A Case Study in Tianjin, China.
- Published in:
- Urban Rail Transit, 2021, v. 7, n. 3, p. 209, doi. 10.1007/s40864-021-00152-9
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- Publication type:
- Article
4
Economical Speed for Optimizing the Travel Time and Energy Consumption in Train Scheduling using a Fuzzy Multi-Objective Model.
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- Urban Rail Transit, 2021, v. 7, n. 3, p. 191, doi. 10.1007/s40864-021-00151-w
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- Publication type:
- Article
5
Unplanned Disruption Analysis in Urban Railway Systems Using Smart Card Data.
- Published in:
- Urban Rail Transit, 2021, v. 7, n. 3, p. 177, doi. 10.1007/s40864-021-00150-x
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- Publication type:
- Article
6
Methodology for the Characterisation of Linear Rail Transport Infrastructures with the Machine Learning Technique and Their Application in a Hyperloop Network.
- Published in:
- Urban Rail Transit, 2021, v. 7, n. 3, p. 159, doi. 10.1007/s40864-021-00149-4
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- Publication type:
- Article