Analysis of the Impact of Ride-Hailing Services on Motor Vehicles Crashes in Madrid

Flor, María and Ortuño, Armando and Guirao Abad, Begoña and Casares, Jairo (2021). Analysis of the Impact of Ride-Hailing Services on Motor Vehicles Crashes in Madrid. "Sustainability", v. 13 (n. 11); p. 5855. ISSN 2071-1050. https://doi.org/10.3390/su13115855.

Description

Title: Analysis of the Impact of Ride-Hailing Services on Motor Vehicles Crashes in Madrid
Author/s:
  • Flor, María
  • Ortuño, Armando
  • Guirao Abad, Begoña
  • Casares, Jairo
Item Type: Article
Título de Revista/Publicación: Sustainability
Date: 23 May 2021
ISSN: 2071-1050
Volume: 13
Subjects:
Freetext Keywords: Ride-Hailing, Killed or Several Injures, Drunk Driving, Traffic Fatalities, Uber, Cabify
Faculty: E.T.S.I. Caminos, Canales y Puertos (UPM)
Department: Ingeniería Civil: Transporte y Territorio
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

In most cities, discretionary passenger transport by car is predominantly supplied by taxi services. These services face competition from new digital platforms (UBER, Cabify, etc.) that connect users with the services offered by authorized drivers with a license for rented vehicles with drivers (VTC). However, very little is known about the impacts that these services produce in cities where they operate. So far, most studies on this issue have focused on cities of the United States of America, and they broadly found a positive impact in terms of road safety. Road safety has become one of the priority focuses for ensuring social welfare, to the point of being integrated into the Sustainable Development Goals as a primary value to achieve sustainable, safe and responsible mobility. Within this context, the objective of this paper is to analyze the impact of ride-hailing platforms on the frequency of traffic accidents with at least one fatally or seriously injured person in the municipality of Madrid from 2014 to 2018. To do this, a regression analysis has been carried out using a random effects negative binomial regression (RENB). The results of the model show that Uber and Cabify services are associated with a decrease in fatal and serious accidents in Madrid.

More information

Item ID: 67214
DC Identifier: https://oa.upm.es/67214/
OAI Identifier: oai:oa.upm.es:67214
DOI: 10.3390/su13115855
Official URL: https://www.mdpi.com/2071-1050/13/11/5855
Deposited by: Memoria Investigacion
Deposited on: 24 May 2021 15:10
Last Modified: 24 May 2021 15:10
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM