From narratives to indicator-based future scenarios of urban mobility

被引:0
|
作者
Colin, Lashermes [1 ]
Cedric, Baudrit [2 ]
Corinne, Curt [1 ]
Christophe, Fernandez [2 ]
Franck, Taillandier [1 ]
机构
[1] INRAE PACA Site Aix Tholonet Inst Natl Rech Agr Al, 3275 Route Cezanne, Aix En Provence, France
[2] Univ Bordeaux I2M, INRAE, Inst Mecan & Ingn, 351 Cours Liberat, F-33405 Talence, France
关键词
Urban mobility; Qualitative scenario; Stakeholder inclusion; Scenario building; Quantitative scenario; SUSTAINABILITY ASSESSMENT; PATHWAYS; CITIES; SYSTEM; CITY;
D O I
10.1016/j.futures.2024.103431
中图分类号
F [经济];
学科分类号
02 ;
摘要
Scenario planning can be a useful tool for solving urban mobility challenges in cities while achieving sustainability goals. Scenario planning is particularly pertinent for policymakers as it can stimulate debates on different possible futures. The concept of sustainable urban mobility planning, promoted by the European Commission, is based on the principle of involving the public in the transport planning process. Including various stakeholders, all individuals, groups or organisations affected by a plan or project in the urban mobility system, such as the citizen, in the planning process can improve results and contribute to an overall understanding of the system and the views of other stakeholders. It is essential for stakeholders to interact with and participate in the creation of these scenarios. This article presents a method for formalising and evaluating prospective urban mobility scenarios. Our approach combines the strengths of both qualitative (narrative) and quantitative (indicators-based) methods. The result is a method that translates textual narratives created by stakeholders into indicators that can be easily understood. The method was applied to scenarios that were created through interviews and participatory workshops in the cities of Strasbourg and Aix-Marseille.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Quantitative analysis of future scenarios of urban mobility using agent-based simulation - A case study
    Neumann, Thorsten
    Heinrichs, Matthias
    Behrisch, Michael
    Erdmann, Jakob
    Sauerlaender-Biebl, Anke
    [J]. URBAN MOBILITY - SHAPING THE FUTURE TOGETHER, 2019, 41 : 295 - 308
  • [22] From model-based prescriptive advice to indicator-based interactive advice
    Trenkel, Verena M.
    Rochet, Marie-Joelle
    Mesnil, Benoit
    [J]. ICES JOURNAL OF MARINE SCIENCE, 2007, 64 (04) : 768 - 774
  • [23] Methods of indicator-based assessment of knowledge transfer from science to technology
    V. A. Minin
    I. M. Zatsman
    V. A. Khavanskov
    S. K. Shubnikov
    [J]. Automatic Documentation and Mathematical Linguistics, 2017, 51 (4) : 180 - 190
  • [24] What to do in, and what to expect from, urban green spaces - Indicator-based approach to assess cultural ecosystem services
    Krellenberg, Kerstin
    Artmann, Martina
    Stanley, Celina
    Hecht, Robert
    [J]. URBAN FORESTRY & URBAN GREENING, 2021, 59
  • [25] Generalized indicator-based determination of solution pH
    Rasouli, Zahra
    Abdollahi, Hamid
    Maeder, Marcel
    [J]. ANALYTICA CHIMICA ACTA, 2020, 1109 : 90 - 97
  • [26] Redox Indicator-Based Electrochemical DNA Detection
    Thoeny, Vanessa
    Melnik, Eva
    Mehrabi, Pooyan
    Huetter, Melanie
    Schalkhammer, Thomas
    Maier, Thomas
    Mutinati, Giorgio C. C.
    Lieberzeit, Peter
    Hainberger, Rainer
    [J]. IEEE SENSORS LETTERS, 2023, 7 (08)
  • [27] Indicator-based water sustainability assessment - A review
    Juwana, I.
    Muttil, N.
    Perera, B. J. C.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2012, 438 : 357 - 371
  • [28] A Modified Indicator-based Evolutionary Algorithm (mIBEA)
    Li, Wenwen
    Ozcan, Ender
    John, Robert
    Drake, John H.
    Neumann, Aneta
    Wagner, Markus
    [J]. 2017 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2017, : 1047 - 1054
  • [29] Health indicator-based cluster analysis of districts and urban districts in North Rhine-Westphalia
    Strohmeier, K. P.
    Schultz, A.
    Bardehle, D.
    Annuss, R.
    Lenz, A.
    [J]. GESUNDHEITSWESEN, 2007, 69 (01) : 26 - 33
  • [30] Iterative approach to indicator-based multiobjective optimization
    Ishibuchi, Hisao
    Tsukamoto, Noritaka
    Nojima, Yusuke
    [J]. 2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 3967 - 3974