Next Article in Journal
Rainfall Runoff Mitigation by Retrofitted Permeable Pavement in an Urban Area
Previous Article in Journal
Inter-Basin Water Transfer Green Supply Chain Equilibrium and Coordination under Social Welfare Maximization
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(4), 1230; https://doi.org/10.3390/su10041230

Transport Choice Modeling for the Evaluation of New Transport Policies

1
DeustoTech-Fundación Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain
2
Facultad Ingeniería, Universidad de Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain
*
Author to whom correspondence should be addressed.
Received: 1 March 2018 / Revised: 6 April 2018 / Accepted: 12 April 2018 / Published: 17 April 2018
(This article belongs to the Section Sustainable Transportation)
Full-Text   |   PDF [6445 KB, uploaded 3 May 2018]   |  

Abstract

Quantifying the impact of the application of sustainable transport policies is essential in order to mitigate effects of greenhouse gas emissions produced by the transport sector. One of the most common approaches used for this purpose is that of traffic modelling and simulation, which consists of emulating the operation of an entire road network. This article presents the results of fitting 8 well known data science methods for transport choice modelling, the area in which more research is needed. The models have been trained with information from Biscay province in Spain in order to match as many of its commuters as possible. Results show that the best models correctly forecast more than 51% of the trips recorded. Finally, the results have been validated with a second data set from the Silesian Voivodeship in Poland, showing that all models indeed maintain their forecasting ability. View Full-Text
Keywords: green travelling policies; transport modelling; transport choice modelling; traffic management; genetic programming green travelling policies; transport modelling; transport choice modelling; traffic management; genetic programming
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Pijoan, A.; Kamara-Esteban, O.; Alonso-Vicario, A.; Borges, C.E. Transport Choice Modeling for the Evaluation of New Transport Policies. Sustainability 2018, 10, 1230.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top