A Vehicle Ride-Sharing Algorithm Assessing Passenger Satisfaction According to Spatial, Temporal, and Social Behavior Context Based on Real Data Sources
Vehicle ride-sharing commute in smart cities is a service that has changed the way of citizens’ daily life and transportation schedule. Research in vehicle ride sharing aims to provide passengers with a comfortable living and well-being within the city. Ride sharing has a significant role in vehicle...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Future Transportation |
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| Online Access: | https://www.mdpi.com/2673-7590/5/2/56 |
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| author | Theodoros Anagnostopoulos Samson Rani Jino Ramson |
| author_facet | Theodoros Anagnostopoulos Samson Rani Jino Ramson |
| author_sort | Theodoros Anagnostopoulos |
| collection | DOAJ |
| description | Vehicle ride-sharing commute in smart cities is a service that has changed the way of citizens’ daily life and transportation schedule. Research in vehicle ride sharing aims to provide passengers with a comfortable living and well-being within the city. Ride sharing has a significant role in vehicle transportation services provided to passengers during their daily schedule from a certain origin to a desired destination within smart cities. Combining ride sharing with spatial, temporal, and social context has an impact on passenger satisfaction. In this paper, a vehicle ride-sharing algorithm is introduced, which incorporates certain spatial, temporal, and social behavior context restrictions that are able to provide a satisfactory routing trajectory that serves the daily needs of passengers in the smart city of Athens, Greece. Real data sources were exploited to evaluate certain spatial, temporal, and social matching distance functions, which define specific spatial, temporal, and social matching similarity thresholds of passengers’ social mobility behavior. The proposed algorithm is evaluated experimentally with real data based on specific evaluation metrics assessing its efficiency with regards to certain spatial, temporal, social, capacity, and satisfaction contexts. The evaluation process has an impact on the adoption of the proposed algorithm in vehicle ride-sharing commute in smart cities. |
| format | Article |
| id | doaj-art-e3d7672efda44b95a52d83157adc79e8 |
| institution | Kabale University |
| issn | 2673-7590 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Transportation |
| spelling | doaj-art-e3d7672efda44b95a52d83157adc79e82025-08-20T03:27:26ZengMDPI AGFuture Transportation2673-75902025-05-01525610.3390/futuretransp5020056A Vehicle Ride-Sharing Algorithm Assessing Passenger Satisfaction According to Spatial, Temporal, and Social Behavior Context Based on Real Data SourcesTheodoros Anagnostopoulos0Samson Rani Jino Ramson1Department of Business Administration, University of the Aegean, Michalon 8, 821 00 Chios, GreeceGlobalFoundries, 1000 River St, Essex Junction, Vermont, VT 05452, USAVehicle ride-sharing commute in smart cities is a service that has changed the way of citizens’ daily life and transportation schedule. Research in vehicle ride sharing aims to provide passengers with a comfortable living and well-being within the city. Ride sharing has a significant role in vehicle transportation services provided to passengers during their daily schedule from a certain origin to a desired destination within smart cities. Combining ride sharing with spatial, temporal, and social context has an impact on passenger satisfaction. In this paper, a vehicle ride-sharing algorithm is introduced, which incorporates certain spatial, temporal, and social behavior context restrictions that are able to provide a satisfactory routing trajectory that serves the daily needs of passengers in the smart city of Athens, Greece. Real data sources were exploited to evaluate certain spatial, temporal, and social matching distance functions, which define specific spatial, temporal, and social matching similarity thresholds of passengers’ social mobility behavior. The proposed algorithm is evaluated experimentally with real data based on specific evaluation metrics assessing its efficiency with regards to certain spatial, temporal, social, capacity, and satisfaction contexts. The evaluation process has an impact on the adoption of the proposed algorithm in vehicle ride-sharing commute in smart cities.https://www.mdpi.com/2673-7590/5/2/56ride-sharing algorithmpassenger satisfactionspatial contexttemporal contextsocial behavior contextreal data sources |
| spellingShingle | Theodoros Anagnostopoulos Samson Rani Jino Ramson A Vehicle Ride-Sharing Algorithm Assessing Passenger Satisfaction According to Spatial, Temporal, and Social Behavior Context Based on Real Data Sources Future Transportation ride-sharing algorithm passenger satisfaction spatial context temporal context social behavior context real data sources |
| title | A Vehicle Ride-Sharing Algorithm Assessing Passenger Satisfaction According to Spatial, Temporal, and Social Behavior Context Based on Real Data Sources |
| title_full | A Vehicle Ride-Sharing Algorithm Assessing Passenger Satisfaction According to Spatial, Temporal, and Social Behavior Context Based on Real Data Sources |
| title_fullStr | A Vehicle Ride-Sharing Algorithm Assessing Passenger Satisfaction According to Spatial, Temporal, and Social Behavior Context Based on Real Data Sources |
| title_full_unstemmed | A Vehicle Ride-Sharing Algorithm Assessing Passenger Satisfaction According to Spatial, Temporal, and Social Behavior Context Based on Real Data Sources |
| title_short | A Vehicle Ride-Sharing Algorithm Assessing Passenger Satisfaction According to Spatial, Temporal, and Social Behavior Context Based on Real Data Sources |
| title_sort | vehicle ride sharing algorithm assessing passenger satisfaction according to spatial temporal and social behavior context based on real data sources |
| topic | ride-sharing algorithm passenger satisfaction spatial context temporal context social behavior context real data sources |
| url | https://www.mdpi.com/2673-7590/5/2/56 |
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