The evolutionary interaction between taxi-sharing behaviours and social networks
| Autor: | Stephan Winter, Yaoli Wang, Ronny Kutadinata |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Structure (mathematical logic)
050210 logistics & transportation Social network business.industry Heuristic Computer science 05 social sciences 0211 other engineering and technologies InformationSystems_DATABASEMANAGEMENT Transportation 02 engineering and technology Management Science and Operations Research Space (commercial competition) computer.software_genre Data science Travel behavior Intelligent agent Business economics 0502 economics and business TRIPS architecture 021108 energy business computer Civil and Structural Engineering |
| Zdroj: | Transportation Research Part A: Policy and Practice. 119:170-180 |
| ISSN: | 0965-8564 |
| DOI: | 10.1016/j.tra.2018.10.043 |
| Popis: | Mobility services increasingly consider the sharing of vehicles to reduce resource use and congestion. People are, however, reluctant to sharing vehicles with strangers. Therefore, this paper investigates the dynamic co-evolution of taxi-sharing behaviours and the taxi-sharing-oriented social network structure. A social network based taxi-sharing method is introduced that is able to prioritise taxi-sharing with acquaintances over strangers while capping the detour cost to reasonable and varied limits. Furthermore, the social network structure evolves and is updated based on shared trips. An empirical simulation demonstrates the advantages of social network based taxi-sharing, i.e., an increased match rate and a comparable satisfaction level to trip-based methods. The spatial aggregation of the emerging social network not only suggests a space-time searching heuristic for taxi-sharing, but also indicates how social factors conquer space while space constrains social interactions. |
| Databáze: | OpenAIRE |
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