Abstract
It has been rarely investigated in the field of public transport whether passenger ow can be explained by network topology. Based on the rich data sets from The Hague, The Netherlands, we conduct this study try- ing to shed light upon this question. The relation between passenger ow and topological measures in different public transport network representations are investigated in detail. Our preliminary results show promising evidence that the passenger ow is indeed correlated to topological measures in the case study network. Several linear regression models are also constructed to quan- tify the explanatory power of these topological measures.
| Original language | English |
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| Title of host publication | Proceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018 |
| Subtitle of host publication | 23-25 July 2018, Brisbane, Australia |
| Number of pages | 10 |
| Publication status | Published - 2018 |
| Event | Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 - Brisbane Convention and Exhibition Centre, Brisbane, Australia Duration: 23 Jul 2018 → 25 Jul 2018 Conference number: 14 |
Conference
| Conference | Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 |
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| Abbreviated title | CASPT 2018 |
| Country/Territory | Australia |
| City | Brisbane |
| Period | 23/07/18 → 25/07/18 |
Keywords
- Public transport
- Passenger flow
- Network topology
- Betweenness centrality