| Title |
Review of Literature on Open Data for Scalability and Operation Efficiency of Electric Bus Fleets |
| ID_Doc |
42688 |
| Authors |
Graczyk, T; Lewanska, E; Strózyna, M; Michalak, D |
| Title |
Review of Literature on Open Data for Scalability and Operation Efficiency of Electric Bus Fleets |
| Year |
2022 |
| Published |
|
| DOI |
10.1007/978-3-031-04216-4_20 |
| Abstract |
Open data is an integral part of Smart City projects carried out around the world. A public transport network is widely used when it is safe, well designed and reliable. The development and maintenance of the urban transport are key items in city budgets. Decisions regarding changes and the future organization of the public transport are supported mainly by Intelligent Transport Systems (ITS). There are many challenges, and one of them is the bus electro-mobility revolution. European leaders encourage a faster transformation to sustainable economy by introducing incentives and directives followed by EU funding. As a result cities replace aged fleets of diesel buses with the electric ones. A zero emission buses network is a new technology for public operators. It involves investments in chargers integrated to electric grids and the introduction of new maintenance processes. Each investment project that aims to introduce that innovative eco-friendly solution is preceded by feasibility studies. Total Cost of Ownership (TCO) is one of the crucial measure for making business decision. To calculate a proper configuration of chargers and fleet of buses, knowledge of specific operational conditions is necessary. That includes analysis of Open Data such as route characteristics, weather and dynamic traffic conditions. The paper review the existing literature with regard to utilization of Open Data by public transport operators to analyze scalability and operation efficiency of the electric buses. The Open Data used in the recent studies are characterized, classified and analyzed. Moreover, the examples of Open Data sources and platforms that might be used by decision makers are provided. |
| Author Keywords |
Open Data; Public transport; Smart city; Battery Electric Bus; Electro-mobility; Large-scale information extraction; Geospatial data; Data enrichment |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000891723700020 |
| WoS Category |
Business; Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Operations Research & Management Science |
| Research Area |
Business & Economics; Computer Science; Operations Research & Management Science |
| PDF |
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