Exploratory Data Analysis and Data Envelopment Analysis of Urban Rail Transit
| Autor: | Guillermo L. Taboada, Liangxiu Han |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Urban rail transit
Operations research Computer Networks and Communications Computer science urban rail transit (URT) lcsh:TK7800-8360 010501 environmental sciences 01 natural sciences Personalization Data Envelopment Analysis (DEA) 0502 economics and business Data envelopment analysis Sustainable transport systems Electrical and Electronic Engineering intelligent transportation systems (ITS) 0105 earth and related environmental sciences 050210 logistics & transportation exploratory data analysis (EDA) 05 social sciences lcsh:Electronics Mode (statistics) Exploratory Data Analysis (EDA) Exploratory data analysis Open data sustainable transport systems Urban Rail Transit (URT) Hardware and Architecture Control and Systems Engineering data envelopment analysis (DEA) Signal Processing Sustainability Data analysis Big-data applications big-data applications Intelligent Transportation Systems (ITS) |
| Zdroj: | RUC: Repositorio da Universidade da Coruña Universidade da Coruña (UDC) Electronics Volume 9 Issue 8 RUC. Repositorio da Universidade da Coruña instname Electronics, Vol 9, Iss 1270, p 1270 (2020) |
| Popis: | [Abstract] 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 CO2 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. Ministerio de Economía, Industria y Competitividad; TIN2016-75845-P Agencia Estatal de Investigación; SNEO-20161147 Xunta de Galicia; ED431G2019/01 Xunta de Galicia; ED431C 2017/04 Xunta de Galicia; ED431G2019/01 |
| Databáze: | OpenAIRE |
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