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Combining the qualitative and quantitative with the Q2 scenario technique — The case of transport and climate

Citations

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Cited by:

  1. Tobias Meyer & Heiko A. von der Gracht & Evi Hartmann, 2022. "Technology foresight for sustainable road freight transportation: Insights from a global real‐time Delphi study," Futures & Foresight Science, John Wiley & Sons, vol. 4(1), March.
  2. Meissner, Philip & Brands, Christian & Wulf, Torsten, 2017. "Quantifiying blind spots and weak signals in executive judgment: A structured integration of expert judgment into the scenario development process," International Journal of Forecasting, Elsevier, vol. 33(1), pages 244-253.
  3. Hurmekoski, Elias & Jonsson, Ragnar & Nord, Tomas, 2015. "Context, drivers, and future potential for wood-frame multi-story construction in Europe," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 181-196.
  4. Marasco, Addolorata & Romano, Alessandro, 2018. "Inter-port interactions in the Le Havre-Hamburg range: A scenario analysis using a nonautonomous Lotka Volterra model," Journal of Transport Geography, Elsevier, vol. 69(C), pages 207-220.
  5. Ernst, Anna & Biß, Klaus H. & Shamon, Hawal & Schumann, Diana & Heinrichs, Heidi U., 2018. "Benefits and challenges of participatory methods in qualitative energy scenario development," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 245-257.
  6. Claire Copeland & Britta Turner & Gareth Powells & Kevin Wilson, 2022. "In Search of Complementarity: Insights from an Exercise in Quantifying Qualitative Energy Futures," Energies, MDPI, vol. 15(15), pages 1-21, July.
  7. Suominen, Arho & Deschryvere, Matthias & Narayan, Rumy, 2023. "Uncovering value through exploration of barriers - A perspective on intellectual property rights in a national innovation system," Technovation, Elsevier, vol. 123(C).
  8. Addolorata Marasco & Alessandro Romano, 2018. "Deterministic modeling in scenario forecasting: estimating the effects of two public policies on intergenerational conflict," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2345-2371, September.
  9. Luoma, Päivi & Penttinen, Esko & Tapio, Petri & Toppinen, Anne, 2022. "Future images of data in circular economy for textiles," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  10. Metz, Ashley & Hartley, Paul, 2020. "Scenario development as valuation: Opportunities for reflexivity," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
  11. Pawluk De-Toledo, Katherine & O'Hern, Steve & Koppel, Sjaan, 2023. "A city-level transport vision for 2050: Reimagined since COVID-19," Transport Policy, Elsevier, vol. 132(C), pages 144-153.
  12. Kunttu, Janni & Hurmekoski, Elias & Heräjärvi, Henrik & Hujala, Teppo & Leskinen, Pekka, 2020. "Preferable utilisation patterns of wood product industries' by-products in Finland," Forest Policy and Economics, Elsevier, vol. 110(C).
  13. Hurmekoski, Elias & Sjølie, Hanne K., 2018. "Comparing forest sector modelling and qualitative foresight analysis: Cases on wood products industry," Journal of Forest Economics, Elsevier, vol. 31(C), pages 11-16.
  14. Franziska Flachsbarth & Marion Wingenbach & Matthias Koch, 2021. "Addressing the Effect of Social Acceptance on the Distribution of Wind Energy Plants and the Transmission Grid in Germany," Energies, MDPI, vol. 14(16), pages 1-18, August.
  15. Chang, Suk-Gwon, 2015. "A structured scenario approach to multi-screen ecosystem forecasting in Korean communications market," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 1-20.
  16. Hurmekoski, Elias & Lovrić, Marko & Lovrić, Nataša & Hetemäki, Lauri & Winkel, Georg, 2019. "Frontiers of the forest-based bioeconomy – A European Delphi study," Forest Policy and Economics, Elsevier, vol. 102(C), pages 86-99.
  17. Krigsholm, Pauliina & Zavialova, Sofia & Riekkinen, Kirsikka & Ståhle, Pirjo & Viitanen, Kauko, 2017. "Understanding the future of the Finnish cadastral system – A Delphi study," Land Use Policy, Elsevier, vol. 68(C), pages 133-140.
  18. Marasco, A. & Picucci, A. & Romano, A., 2016. "Market share dynamics using Lotka–Volterra models," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 49-62.
  19. Mazzanti, Massimiliano & Rizzo, Ugo, 2017. "Diversely moving towards a green economy: Techno-organisational decarbonisation trajectories and environmental policy in EU sectors," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 111-116.
  20. Melander, Lisa & Dubois, Anna & Hedvall, Klas & Lind, Frida, 2019. "Future goods transport in Sweden 2050: Using a Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 178-189.
  21. Soria-Lara, Julio A. & Banister, David, 2017. "Participatory visioning in transport backcasting studies: Methodological lessons from Andalusia (Spain)," Journal of Transport Geography, Elsevier, vol. 58(C), pages 113-126.
  22. Fortes, Patrícia & Alvarenga, António & Seixas, Júlia & Rodrigues, Sofia, 2015. "Long-term energy scenarios: Bridging the gap between socio-economic storylines and energy modeling," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 161-178.
  23. Kajikawa, Yuya & Mejia, Cristian & Wu, Mengjia & Zhang, Yi, 2022. "Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  24. Jahel, Camille & Bourgeois, Robin & Bourgoin, Jérémy & Daré, William's & De Lattre-Gasquet, Marie & Delay, Etienne & Dumas, Patrice & Le Page, Christophe & Piraux, Marc & Prudhomme, Rémi, 2023. "The future of social-ecological systems at the crossroads of quantitative and qualitative methods," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  25. Gupta, Dipti & Dhar, Subash, 2022. "Exploring the freight transportation transitions for mitigation and development pathways of India," Transport Policy, Elsevier, vol. 129(C), pages 156-175.
  26. Helena Sustar & Miloš N. Mladenović & Moshe Givoni, 2020. "The Landscape of Envisioning and Speculative Design Methods for Sustainable Mobility Futures," Sustainability, MDPI, vol. 12(6), pages 1-24, March.
  27. Jong Hwan Suh, 2018. "Generating Future-Oriented Energy Policies and Technologies from the Multidisciplinary Group Discussions by Text-Mining-Based Identification of Topics and Experts," Sustainability, MDPI, vol. 10(10), pages 1-33, October.
  28. Alexandros Flamos, 2016. "A Sectoral Micro-Economic Approach to Scenario Selection and Development: The Case of the Greek Power Sector," Energies, MDPI, vol. 9(2), pages 1-12, January.
  29. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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