A multi-level perspective analysis of urban mobility system dynamics: What are the future transition pathways?
Afsaneh Moradi and
Emidia Vagnoni
Technological Forecasting and Social Change, 2018, vol. 126, issue C, 231-243
Abstract:
Transport sector is one of the main contributors to air pollution, greenhouse gases and CO2 emissions, specifically in urban areas, and is the only sector that has not yet achieved sustainability objectives. Increasing concerns about emissions from the transport sector highlight the need for urgent actions for change to more sustainable systems that consider the needs of all social groups, be more affordable and less polluted. Transition studies focus on actions and plans used to change the current system to more sustainable ones, a radical shift in incremental steps. Multi-level perspective considers the transition as a nonlinear process of change resulted from the interactions of social and technological factors at different levels. While most studies focused on historical transition reviews or future pathways and scenarios, this paper is a study of current system as the change process is performed. The paper aimed at identifying the main mobility regimes and dynamics of low carbon mobility transitions to see what are the current pathways and most probable pathways in the scope of 2030 targets. A comprehensive review of related literature combined with stakeholder interviews in a qualitative data analysis process to see what the driving and restraining forces of transition process are and which innovations has the greater potential to get aligned in future mobility regimes. The paper contributed to transition studies through combining multi stakeholder and MLP approach for detailed investigation of passenger urban mobility transition dynamics. The results can also help urban mobility planners to know the factors that can help or challenge them in planning for more sustainable transport systems.
Keywords: Transition; Low carbon; Urban mobility; Dynamic; Pathway; Multi-level perspective (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (32)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162516308010
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:126:y:2018:i:c:p:231-243
DOI: 10.1016/j.techfore.2017.09.002
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().