Implementation of low emissions zones (LEZ) through soft traffic calming strategiesThe case study of Cartagena (Spain)

  1. Salvador García-Ayllón 1
  2. Matías Yepes 1
  1. 1 Universidad Politécnica de Cartagena
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    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

    Geographic location of the organization Universidad Politécnica de Cartagena
Book:
Second International Future Challenges in Sustainable Urban Planning & Territorial Management: Proceedings of the SUPTM 2024 conference
  1. Salvador García‐Ayllón Veintimilla (dir. congr.)
  2. José Luis Miralles García (dir. congr.)

Publisher: Universidad Politécnica de Cartagena

ISBN: 978-84-17853-82-2

Year of publication: 2024

Pages: 207-210

Congress: Conference on Future Challenges in Sustainable Urban Planning & Territorial Management (2. 2024. Cartagena)

Type: Conference paper

DOI: 10.31428/10317/13643 DIALNET GOOGLE SCHOLAR HANDLE: https://hdl.handle.net/10317/13653
Repositorio Digital de la Universidad Politécnica de Cartagena (UPCT): lock_openOpen access Handle

Sustainable development goals

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SDG classification obtained using Aurora SDG artificial intelligence model.

Abstract

Spanish Law 7/2021 on climate change and energy transition makes it mandatory for municipalities with more than 50,000 inhabitants to establish low-emission zones by 2023. On the otherhand, the Sustainable and Accessible Urban Mobility Plan of the Cartagena City Council ‘Cartago!’,approved by the Local Government Board in 2021, recommended to develop low-emission zones invarious areas of the city based on scientific knowledge and not on political priorities, limiting trafficrestrictions only to cases in which they are necessary for technical reasons to improve mobility. Thisstudy proposes an innovative process using soft traffic calming strategies based on woonerf philosophy, applied to combine both requests. A spatial definition framework at a graphic level of theareas to be implemented as low emission zones was developed in two levels. The target areas forair quality improvement have been defined through a prior geostatistical analysis and the selectionof the perimeter of action of the priority areas was established through a methodology based ongeostatistics indicators applied through fuzzy AHP multi-criteria evaluation. The results obtainedcan serve as a basis for the development of low-emission zones in medium or small-sized cities.