Sun Shouheng et Ertz Myriam. (2022). Can shared micromobility programs reduce greenhouse gas emissions: Evidence from urban transportation big data. Sustainable Cities and Society, 85, e104045.
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URL officielle: http://dx.doi.org/doi.org/10.1016/j.scs.2022.10404...
Résumé
Shared micromobillity has been extensively developed globally in the past few decades, but its impact on the environment remains unclear. This study quantitatively estimates the effects of global shared micromobillity programs on greenhouse gas (GHG) emissions using a life cycle assessment (LCA) perspective. Specifically, it takes major countries and cities around the world as examples to empirically analyze the impact of station-based bike-sharing (SBBS), free-floating bike-sharing (FFBS), free-floating e-bike sharing (FFEBS), and free-floating e-scooter sharing (FFESS) programs on the GHG emissions of urban transportation. The results show that, with the exception of SBBS, the other shared micromobillity programs have not achieved desirable GHG emissions reduction benefits. Contrarily to subjective expectations, although the rapid progress of technology in recent years has promoted the vigorous development of shared micromobility, it has brought negative impacts on the GHG emissions rather than the positive benefits claimed by related promoters and operators. The overcommercialization and low utilization rate makes shared micromobility more likely to be an environmentally-unfriendly mode of transportation. In addition, the regional differences in mode choice, operational efficiency, fleet scale, and market potential of shared micromobility and the corresponding impacts on GHG emissions vary greatly. Therefore, authorities should formulate appropriate shared micromobility plans based on the current conditions and goals of the region. This empirical study helps to better understand the environmental impact of the global shared micromobility program and offers valuable references for improving urban sustainability.
Type de document: | Article publié dans une revue avec comité d'évaluation |
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ISSN: | 22106707 |
Volume: | 85 |
Pages: | e104045 |
Version évaluée par les pairs: | Oui |
Date: | 2022 |
Identifiant unique: | 10.1016/j.scs.2022.104045 |
Sujets: | Sciences sociales et humaines > Sciences de la gestion > Management Sciences sociales et humaines > Sciences de la gestion > Marketing |
Département, module, service et unité de recherche: | Départements et modules > Département des sciences économiques et administratives |
Mots-clés: | sustainability, big data, shared micromobility, sustainable transportation, life cycle assessment, greenhouse gas emissions, durabilité, données massives, données de masse, transport durable, évaluation du cycle de vie, émissions de gaz à effet de serre |
Déposé le: | 25 janv. 2023 20:08 |
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Dernière modification: | 09 févr. 2023 15:14 |
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