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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

A lack of data collection on conscious mobility behaviors has been identified in current sustainable and smart mobility planning, development and implementation strategies. This leads to technocentric solutions that do not place people and their behavior at the center of new mobility solutions in urban centers around the globe. This paper introduces the concept of conscious mobility to link techno-economic analyses with user awareness on the impact of their travel decisions on other people, local urban infrastructure and the environment through systematic big data collection. A preliminary conscious mobility indicator framework is presented to leverage behavioral considerations to enhance urban-community mobility systems. Key factors for conscious mobility analysis have been derived from five case studies. The sample offers regional diversity (i.e., local, regional and the global urban contexts), as well as different goals in the transformation of conventional urban transport systems, from improving public transport efficiency and equipment electrification to mitigate pollution and climate risks, to focusing on equity, access and people safety. The case studies selected provide useful metrics on the adoption of cleaner, smarter, safer and more autonomous mobility technologies, along with novel people-centric program designs to build an initial set of conscious mobility indicators frameworks. The parameters were applied to the city of Monterrey, Nuevo Leon in Mexico focusing on the needs of the communities that work, study and live around the local urban campus of the Tecnologico de Monterrey’s Distrito Tec. This case study, served as an example of how conscious mobility indicators could be applied and customized to a community and region of interest. This paper introduces the first application of the conscious mobility framework for urban communities’ mobility system analysis. This more holistic assessment approach includes dimensions such as society and culture, infrastructure and urban spaces, technology, government, normativity, economy and politics, and the environment. The expectation is that the conscious mobility framework of analysis will become a useful tool for smarter and sustainable urban and mobility problem solving and decision making to enhance the quality of life all living in urban communities.

Details

Title
Conscious Mobility for Urban Spaces: Case Studies Review and Indicator Framework Design
Author
Vargas-Maldonado, Roberto C 1   VIAFID ORCID Logo  ; Lozoya-Reyes, Jorge G 1   VIAFID ORCID Logo  ; Ramírez-Moreno, Mauricio A 1   VIAFID ORCID Logo  ; Jorge de J Lozoya-Santos 1   VIAFID ORCID Logo  ; Ramírez-Mendoza, Ricardo A 1   VIAFID ORCID Logo  ; Pérez-Henríquez, Blas L 2   VIAFID ORCID Logo  ; Velasquez-Mendez, Augusto 3   VIAFID ORCID Logo  ; Jimenez Vargas, Jose Fernando 3   VIAFID ORCID Logo  ; Narezo-Balzaretti, Jorge 4   VIAFID ORCID Logo 

 School of Engineering and Science, Tecnologico de Monterrey, Eugenio Garza Sada 2501 Sur, Monterrey 64849, Mexico 
 Mexico Clean Economy 2050, Precourt Institute for Energy, Stanford University, Stanford, CA 94305, USA 
 Department of Electrical and Electronic Engineering, Universidad de los Andes, Bogota 111711, Colombia 
 MSc Regional and Urban Planning Studies, The London School of Economics and Political Science, Houghton St., London WC2A 2AE, UK 
First page
333
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20763417
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2761140042
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.