Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 25th European Conference on Information Systems, ECIS 2017 |
| Herausgeber (Verlag) | Association for Information Systems |
| Seiten | 1232-1247 |
| Seitenumfang | 16 |
| ISBN (elektronisch) | 9780991556700 |
| Publikationsstatus | Veröffentlicht - 2017 |
| Veranstaltung | 25th European Conference on Information Systems, ECIS 2017 - Guimaraes, Portugal Dauer: 5 Juni 2017 → 10 Juni 2017 |
Publikationsreihe
| Name | Proceedings of the 25th European Conference on Information Systems, ECIS 2017 |
|---|
Abstract
Carsharing is a mobility concept that addresses the world’s growing interest in sustainability. It reduces CO2 emissions, traffic congestion, and noise in cities. Including electric and hybrid vehicles in the carsharing fleet supports these aspects even more. For a station-based carsharing organization (CSO), the distribution and availability of vehicles play a crucial role to satisfy the customers’ needs as well as to obtain profits. We developed a tactical optimization model to determine the size and composition of a heterogeneous carsharing fleet while considering different emission limits with time-depended demand profiles. Different propulsion modes and vehicle classes represent the heterogeneity of the fleet. Using the application example of the city of San Francisco, results are presented, discussed, and analyzed. Our benchmarks for two different demand scenarios reveal the strong influence of a preset maximum level of CO2 emissions on fleet composition and monthly net profit. The optimization model allows CSOs to provide a sustainable and profitable mobility concept; city planners are supported to evaluate influences of CO2 emission thresholds on CSOs. The model thereby represents a Green IS approach, as it contributes to supporting a society’s path towards a low emission and noise-reduced environment in urban areas where carsharing is feasible.
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Proceedings of the 25th European Conference on Information Systems, ECIS 2017. Association for Information Systems, 2017. S. 1232-1247 (Proceedings of the 25th European Conference on Information Systems, ECIS 2017).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Ecological & profitable carsharing business
T2 - 25th European Conference on Information Systems, ECIS 2017
AU - Sonneberg, Marc Oliver
AU - Breitner, Michael
N1 - Publisher Copyright: © 2017 Proceedings of the 25th European Conference on Information Systems, ECIS 2017. All rights reserved. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - Carsharing is a mobility concept that addresses the world’s growing interest in sustainability. It reduces CO2 emissions, traffic congestion, and noise in cities. Including electric and hybrid vehicles in the carsharing fleet supports these aspects even more. For a station-based carsharing organization (CSO), the distribution and availability of vehicles play a crucial role to satisfy the customers’ needs as well as to obtain profits. We developed a tactical optimization model to determine the size and composition of a heterogeneous carsharing fleet while considering different emission limits with time-depended demand profiles. Different propulsion modes and vehicle classes represent the heterogeneity of the fleet. Using the application example of the city of San Francisco, results are presented, discussed, and analyzed. Our benchmarks for two different demand scenarios reveal the strong influence of a preset maximum level of CO2 emissions on fleet composition and monthly net profit. The optimization model allows CSOs to provide a sustainable and profitable mobility concept; city planners are supported to evaluate influences of CO2 emission thresholds on CSOs. The model thereby represents a Green IS approach, as it contributes to supporting a society’s path towards a low emission and noise-reduced environment in urban areas where carsharing is feasible.
AB - Carsharing is a mobility concept that addresses the world’s growing interest in sustainability. It reduces CO2 emissions, traffic congestion, and noise in cities. Including electric and hybrid vehicles in the carsharing fleet supports these aspects even more. For a station-based carsharing organization (CSO), the distribution and availability of vehicles play a crucial role to satisfy the customers’ needs as well as to obtain profits. We developed a tactical optimization model to determine the size and composition of a heterogeneous carsharing fleet while considering different emission limits with time-depended demand profiles. Different propulsion modes and vehicle classes represent the heterogeneity of the fleet. Using the application example of the city of San Francisco, results are presented, discussed, and analyzed. Our benchmarks for two different demand scenarios reveal the strong influence of a preset maximum level of CO2 emissions on fleet composition and monthly net profit. The optimization model allows CSOs to provide a sustainable and profitable mobility concept; city planners are supported to evaluate influences of CO2 emission thresholds on CSOs. The model thereby represents a Green IS approach, as it contributes to supporting a society’s path towards a low emission and noise-reduced environment in urban areas where carsharing is feasible.
KW - Carsharing
KW - Decision support
KW - Emission limits
KW - Green IS
UR - http://www.scopus.com/inward/record.url?scp=85058064474&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85058064474
T3 - Proceedings of the 25th European Conference on Information Systems, ECIS 2017
SP - 1232
EP - 1247
BT - Proceedings of the 25th European Conference on Information Systems, ECIS 2017
PB - Association for Information Systems
Y2 - 5 June 2017 through 10 June 2017
ER -