Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail Transit
This paper deals with the efficiency and sustainability of urban rail transit (URT) using exploratory data analytics (EDA) and data envelopment analysis (DEA). The first stage of the proposed methodology is EDA with already available indicators (e.g., the number of stations and passengers), and sugg...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-08-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/9/8/1270 |
| _version_ | 1797559686361251840 |
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| author | Guillermo L. Taboada Liangxiu Han |
| author_facet | Guillermo L. Taboada Liangxiu Han |
| author_sort | Guillermo L. Taboada |
| collection | DOAJ |
| description | This paper deals with the efficiency and sustainability of urban rail transit (URT) using exploratory data analytics (EDA) and data envelopment analysis (DEA). The first stage of the proposed methodology is EDA with already available indicators (e.g., the number of stations and passengers), and suggested indicators (e.g., weekly frequencies, link occupancy rates, and CO<sub>2</sub> footprint per journey) to directly characterize the efficiency and sustainability of this transport mode. The second stage is to assess the efficiency of URT with two original models, based on a thorough selection of input and output variables, which is one of the key contributions of EDA to this methodology. The first model compares URT against other urban transport modes, applicable to route personalization, and the second scores the efficiency of URT lines. The main outcome of this paper is the proposed methodology, which has been experimentally validated using open data from the Transport for London (TfL) URT network and additional sources. |
| first_indexed | 2024-03-10T17:48:50Z |
| format | Article |
| id | doaj.art-5fa512244ebf47a4a08c8319fb9da0b0 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T17:48:50Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-5fa512244ebf47a4a08c8319fb9da0b02023-11-20T09:25:27ZengMDPI AGElectronics2079-92922020-08-0198127010.3390/electronics9081270Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail TransitGuillermo L. Taboada0Liangxiu Han1Computer Architecture Group, CITIC, Universidade da Coruña, Campus de Elviña, 15071 A Coruña, SpainDepartment of Computing and Mathematics, Manchester Metropolitan University, Manchester M1 5GD, UKThis paper deals with the efficiency and sustainability of urban rail transit (URT) using exploratory data analytics (EDA) and data envelopment analysis (DEA). The first stage of the proposed methodology is EDA with already available indicators (e.g., the number of stations and passengers), and suggested indicators (e.g., weekly frequencies, link occupancy rates, and CO<sub>2</sub> footprint per journey) to directly characterize the efficiency and sustainability of this transport mode. The second stage is to assess the efficiency of URT with two original models, based on a thorough selection of input and output variables, which is one of the key contributions of EDA to this methodology. The first model compares URT against other urban transport modes, applicable to route personalization, and the second scores the efficiency of URT lines. The main outcome of this paper is the proposed methodology, which has been experimentally validated using open data from the Transport for London (TfL) URT network and additional sources.https://www.mdpi.com/2079-9292/9/8/1270urban rail transit (URT)exploratory data analysis (EDA)data envelopment analysis (DEA)sustainable transport systemsintelligent transportation systems (ITS)big-data applications |
| spellingShingle | Guillermo L. Taboada Liangxiu Han Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail Transit Electronics urban rail transit (URT) exploratory data analysis (EDA) data envelopment analysis (DEA) sustainable transport systems intelligent transportation systems (ITS) big-data applications |
| title | Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail Transit |
| title_full | Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail Transit |
| title_fullStr | Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail Transit |
| title_full_unstemmed | Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail Transit |
| title_short | Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail Transit |
| title_sort | exploratory data analysis and data envelopment analysis of urban rail transit |
| topic | urban rail transit (URT) exploratory data analysis (EDA) data envelopment analysis (DEA) sustainable transport systems intelligent transportation systems (ITS) big-data applications |
| url | https://www.mdpi.com/2079-9292/9/8/1270 |
| work_keys_str_mv | AT guillermoltaboada exploratorydataanalysisanddataenvelopmentanalysisofurbanrailtransit AT liangxiuhan exploratorydataanalysisanddataenvelopmentanalysisofurbanrailtransit |