Ranking sustainable urban mobility indicators and their matching transport policies to support liveable city Futures: A MICMAC approach

被引:27
作者
Chatziioannou, Ioannis [1 ]
Nikitas, Alexandros [2 ]
Tzouras, Panagiotis G. [1 ]
Bakogiannis, Efthimios [1 ]
Alvarez-Icaza, Luis [3 ]
Chias-Becerril, Luis [4 ]
Karolemeas, Christos [1 ]
Tsigdinos, Stefanos [1 ]
Wallgren, Pontus [5 ]
Rexfelt, Oskar [5 ]
机构
[1] Natl Tech Univ Athens, Ir Politechniou 9 Zografou, Athens 15780, Greece
[2] Univ Huddersfield, Huddersfield Business Sch, Huddersfield HD1 3DH, England
[3] Univ Nacl Autonoma Mexico, Inst Ingn, Circuito Escolar,Ciudad Univ, Mexico City 04510, DF, Mexico
[4] Univ Nacl Autonoma Mexico, Inst Geog, Invest Cientif, Ciudad Univ, Mexico City 04510, DF, Mexico
[5] Chalmers Univ Technol, Dept Ind & Mat Sci, Design & Human Factors, Horsalsvagen 5, SE-41296 Gothenburg, Sweden
关键词
Sustainable mobility; Sustainable Urban Mobility Plans; MICMAC; Structural analysis; Transport policy and planning; VEHICLE OWNERSHIP REDUCTION; PUBLIC TRANSPORT; SERVICE QUALITY; AIR-POLLUTION; TRAFFIC CONGESTION; PARKING CHARGES; CAR PARKING; TRAVEL; SAFETY; USERS;
D O I
10.1016/j.trip.2023.100788
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Understanding, promoting and managing sustainable urban mobility better is very critical in the midst of an unprecedented climate crisis. Identifying, evaluating, benchmarking and prioritising its key indicators is a way to ensure that policy-makers will develop those transport strategies and measures necessary to facilitate a more effective transition to liveable futures. After identifying from the literature and the European Commission (EC) directives the indicators that are underpinning the powerful scheme of Sustainable Urban Mobility Plans (SUMPs) that each municipality in Europe may implement to elevate the wellbeing of its population, we adopt a Cross Impact Matrix Multiplication Applied to Classification (MICMAC) approach to assess, contextualise and rank them. Through conducting a qualitative study that involved a narrative literature review and more importantly in-depth discussions with 28 elite participants, each of them with expertise in sustainable development, we are able to designate the Sustainable Urban Mobility Indicators (SUMIs) that are the most (and least) impactful. According to our analysis the most powerful indicator is traffic congestion, followed by affordability of public transport for the poorest, energy efficiency, access to mobility service and multimodal integration. This analysis allows us to then match them with the most applicable strategies that may ensure a holistic approach towards supporting in practical terms sustainable mobility in the city level. These are in ranking order: Transit Oriented Development (TOD); public and active transport enhancement; parking policies, vehicle circulation and ownership measures; telecommuting and car-pooling.
引用
收藏
页数:17
相关论文
共 150 条
[31]   Can multi-modal integration provide enhanced public transport service provision to address the needs of vulnerable populations? [J].
Cottrill, Caitlin D. ;
Brooke, Sarah ;
Mulley, Corinne ;
Nelson, John D. ;
Wright, Steve .
RESEARCH IN TRANSPORTATION ECONOMICS, 2020, 83
[32]  
CRES, 2015, Energy Efficiency trends and policies in Greece
[33]   Effects of high occupancy vehicle lanes on freeway congestion [J].
Daganzo, Carlos F. ;
Cassidy, Michael J. .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2008, 42 (10) :861-872
[34]  
De Sherbinin A, 2003, The Role of Sustainability Indicators as a Tool for Assessing Territorial Environmental Competitiveness
[35]  
Duperrin J.C., 1973, Methode de hierarchisation des elements d'un systeme Essai de prospective du systeme de l'energie nucleaire dans son contexte societal
[36]  
Egeter B., 1998, System Diagram for the Policy Area Transport and Traffic
[37]   The cost of equity: Assessing transit accessibility and social disparity using total travel cost [J].
El-Geneidy, Ahmed ;
Levinson, David ;
Diab, Ehab ;
Boisjoly, Genevieve ;
Verbich, David ;
Loong, Charis .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2016, 91 :302-316
[38]   Car-sharing services: An annotated review [J].
Ferrero, Francesco ;
Perboli, Guido ;
Rosano, Mariangela ;
Vesco, Andrea .
SUSTAINABLE CITIES AND SOCIETY, 2018, 37 :501-518
[39]  
Fraire Cervantes J.A., 2011, Utilizacion de un modelo de respuesta dicotomica de valoraci on contingente para estimar el tiempo de retiro socialmente optimo de un vehiculo en la ZMVM
[40]   Public Transport Quality, Safety, and Perceived Accessibility [J].
Friman, Margareta ;
Lattman, Katrin ;
Olsson, Lars E. .
SUSTAINABILITY, 2020, 12 (09)