Topology dependence of on-demand ride-sharing
| Autor: | Nora Molkenthin, Debsankha Manik |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Physics - Physics and Society
Computer Networks and Communications Computer science FOS: Physical sciences Topology (electrical circuits) Physics and Society (physics.soc-ph) Topology Network topology 01 natural sciences Measure (mathematics) 0502 economics and business 0103 physical sciences 010306 general physics Flexibility (engineering) 050210 logistics & transportation Multidisciplinary business.industry lcsh:T57-57.97 05 social sciences Volume (computing) Ranging Computational Mathematics Public transport lcsh:Applied mathematics. Quantitative methods business Street network |
| Zdroj: | Applied Network Science, Vol 5, Iss 1, Pp 1-16 (2020) |
| ISSN: | 2364-8228 |
| DOI: | 10.1007/s41109-020-00290-2 |
| Popis: | Traffic is a challenge in rural and urban areas alike with negative effects ranging from congestion to air pollution. Ride-sharing poses an appealing alternative to personal cars, combining the traffic-reducing ride bundling of public transport with much of the flexibility and comfort of personal cars. Here we study the effects of the underlying street network topology on the viability of ride bundling analytically and in simulations. Using numerical and analytical approaches we find that system performance can be measured in the number of scheduled stops per vehicle. Its scaling with the request rate is approximately linear and the slope, that depends on the network topology, is a measure of the ease of ridesharing in that topology. This dependence is caused by the different growth of the route volume, which we compute analytically for the simplest networks served by a single vehicle. Comment: 17 pages, 6 figures |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink