Moving on from a Diesel Mindset—Understanding Enablers and Challenges for Electrifying Road Freight Using Stakeholder Engagement
Abstract
:1. Introduction
2. Background
2.1. Focus on Road Freight
2.2. Challenges to Road Freight Electrification
2.3. Need to Look beyond Technology
2.4. Research Questions
3. Approach
3.1. Initial Literature Search
3.2. Stakeholder Validation and Feedback
3.2.1. Stakeholder Selection
3.2.2. Transcribing and Analysis
3.3. Literature Search and Review
4. Results
4.1. Solutions for Road Freight Decarbonisation
4.2. Challenges and Enablers within and beyond Technology
4.2.1. Infrastructure
- °
- Overhead lines to move the large supplies along the side would require substations to be built along the motorway.
- °
- There could be challenges in dealing with landowners who do not want the assets crossing or being built on their land.
- °
- The foundations for each structure will be piled foundations to cater to the cantilevered structure and forces and not undermine the motorway. One piled foundation will cost about GBP 20,000.
- °
- What design characteristics will be applied to the catenary to cater to wind loadings, ice loadings, and snow loadings? That is, the thickness of the ice, amount of wet snow accretion, angle, and wind speed. These numbers are essential as they dictate the characteristics of the various structures, like terminal poles, intermediate poles, and angle poles.
- °
- Installing the conductors and steel poles will shut lanes of the motorway for the installation, maintenance, and any fault repairs.
4.2.2. Policy Alignment and Collaboration
4.2.3. Societal and Behavioural Factors
4.3. Call for Action
4.4. Literature Search Post-Workshop
- -
- Articles with a focus on passenger mobility or other means of transport, like shipping, airlines, or railways were taken out;
- -
- Abstract was read through to see if it covers road freight segment;
- -
- Despite containing the key words, some articles did not have a sociotechnical approach as the main theme, as was verified by going through the abstract;
- -
- Some of the papers were exploratory (covering general history of sociotechnical transitions across multiple domains, including transport) and did not specifically delve into the impact of sociotechnical factors on transport decarbonisation, which was the main focus of the literature search.
5. Analysis
6. Discussion
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Role | Organisation | Country/Region |
---|---|---|
Vehicle systems technology advisor | Research institute | North America |
Research associate | Aerospace institute | EU |
Director | Research institute | North America |
Vehicle systems manger | Government energy department | North America |
Program manager | Nongovernmental, nonprofit body focussed on sustainable transport | UK |
Business development | OEM for ERS | EU |
Program manager | Semigovernment body on sustainable logistics | EU |
Product manager | Truck OEM | |
System engineer | Power Distribution company | UK |
R&D head | OEM for electric truck | EU |
VP Products | Sustainable freight mobility solution provider | EU |
Professor of industrial engineering | University | EU |
CSR | Multinational logistics company | EU |
Professor of automotive engineering | University | UK |
Senior engineer | Truck OEM | EU |
Marketing manager | Electric vehicle charging solution provider | RoW |
Lead—Electric Vehicle | Infrastructure and construction services | North America |
Research staff | Research institute | North America |
Transport and mobility analyst | Research institute | North America |
Title | Author | Publications | Summary |
---|---|---|---|
Is the transport system becoming ubiquitous? Sociotechnical road mapping as a tool for integrating the development of transport policies and intelligent transport systems and services in Finland | Tuominen, Anu; Ahlqvist, Toni | Technological forecasting and social change, 2010, Vol. 77 (1), pp. 120–134, DOI: 10.1016/j.techfore.2009.06.001 | The paper presents a sociotechnical road-mapping method as a tool to integrate the technology developments better with societal developments and transport policy design. The method is tested with a Finnish case study, which provides three thematic, complementary roadmaps of the potential transport system technology services of the future. |
Lifestyle, efficiency, and limits: modelling transport energy and emissions using a sociotechnical approach | Brand, Christian; Anable, Jillian; Morton, Craig | Energy efficiency, 2019, Vol. 12 (1), pp. 187–207, DOI: 10.1007/s12053-018-9678-9 | The article presents the development and use of quantitative scenarios using an integrated transport–energy–environment systems model to explore four contrasting futures for Scotland that compare transport-related ‘lifestyle’ changes and sociocultural factors against a transition pathway focussing on transport electrification and the phasing out of conventionally fuelled vehicles using a sociotechnical approach. |
Future transport systems: long-term visions and sociotechnical transitions | Auvinen, Heidi; Tuominen, Anu | European transport research review, 2014, Vol. 6 (3), pp. 343–354, DOI: 10.1007/s12544-014-0135-3 | This paper explores how sociotechnical transitions can be anticipated and taken into account in strategic transport planning. Techniques to integrate long-term foresight and understanding of sociotechnical change in the transport system to support long-term transport policy targets are introduced. |
A review of sociotechnical energy transition (STET) models | Li, Francis G.N.; Trutnevyte, Evelina; Strachan, Neil | Technological forecasting and social change, 2015, Vol. 100, pp. 290–305, DOI: 10.1016/j.techfore.2015.07.017 | This paper provides a taxonomy for a new model category called ‘sociotechnical energy transition’ (STET) models, used for integrating both quantitative modelling and conceptual sociotechnical transitions. |
A sociotechnical model of autonomous vehicle adoption using ranked choice stated preference data | Asmussen, Katherine E.; Mondal, Aupal; Bhat, Chandra R. | Transportation research. Part C, Emerging technologies, 2020, Vol. 121, p. 102835, DOI: 10.1016/j.trc.2020.102835 | This paper examines the individual-level AV adoption and timing process, considering the psychosocial factors of driving control, mobility control, safety concerns, and tech savviness. A ranked choice stated preference design is used to elicit responses from Austin-area residents regarding AV adoption. The findings from our analysis are translated to specific policy actions to promote AV adoption and accelerate the adoption time frame. |
Linking narratives and energy system modelling in transport scenarios: A participatory perspective from Denmark | Venturini, Giada; Hansen, Meiken; Andersen, Per Dannemand | Energy research and social science, 2019, Vol. 52, pp. 204–220, DOI: 10.1016/j.erss.2019.01.019 | The present paper investigates the iterative and participatory applications of driving forces in bridging qualitative and quantitative methods in transport scenarios for the Danish transport sector. |
Discontinuation of the automobility regime? An integrated approach to multilevel governance | Hoffmann, Sebastian; Weyer, Johannes; Longen, Jessica | Transportation research. Part A, Policy and practice, 2017, Vol. 103, pp. 391–408, DOI: 10.1016/j.tra.2017.06.016 | The paper discusses the discontinuation of incumbent sociotechnical regimes by means of deliberate governance. Comparing actor constellations and policy measures in four different countries (the UK, Germany, France, and the Netherlands) and on the EU level, the paper identifies strategies and measures that have been applied to challenge the automobility regime. |
Exploring stability and change in transport systems: combining Delphi and system dynamics approaches | Rees, David; Stephenson, Janet; Hopkins, Debbie; Doering, Adam | Transportation (Dordrecht), 2017, Vol. 44 (4), pp. 789–805, DOI: 10.1007/s11116-016-9677-7 | This paper applies qualitative system dynamics modelling to help interpret the results of a Delphi study into global transport transitions, involving 22 international experts in various aspects of transport. |
Process supporting strategic decision making in systemic transitions | Auvinen, Heidi; Ruutu, Sampsa; Tuominen, Anu; Ahlqvist, Toni; Oksanen, Juha | Technological forecasting and social change, 2015, Vol. 94, pp. 97–114, DOI: 10.1016/j.techfore.2014.07.011 | This paper introduces a process for supporting strategic decision making and policy planning in systemic transitions using the multilevel perspective (MLP) as an underlying theoretical framework and combines various methods and tools from the fields of foresight, impact assessment, simulation modelling, and societal embedding. |
A virtual environment for the formulation of policy packages | Taeihagh, Araz; Bañares-Alcántara, René; Givoni, Moshe | Transportation research. Part A, Policy and practice, 2014, Vol. 60, pp. 53–68, DOI: 10.1016/j.tra.2013.10.017 | This paper describes the development of a virtual environment for the exploration and analysis of different configurations of policy measures in order to build policy packages. The paper also considers the challenge of the interdependence and complexity of sociotechnical systems and the availability of a wide variety of policy measures to address policy problems |
Moving towards sociotechnical scenarios of the German energy transition—lessons learned from integrated energy scenario building | Pregger, Thomas; Naegler, Tobias; Weimer-Jehle, Wolfgang; Prehofer, Sigrid; Hauser, Wolfgang | Climatic change, 2020, Vol. 162 (4), pp. 1743–1762, DOI: 10.1007/s10584-019-02598-0 | This paper presents an application of a sociotechnical scenario-building method for improving long-term scenarios and strategies for the energy transition in Germany. Developing integrated scenarios on a national level starts with employing the cross-impact balancing (CIB) approach for identifying consistent societal scenarios. |
References
- Chapman, L. Transport and climate change: A review. J. Transp. Geogr. 2007, 15, 354–367. [Google Scholar] [CrossRef]
- Climate Watch|Greenhouse Gas (GHG) Emissions|Climate Watch. Available online: https://www.climatewatchdata.org/ghgemissions?end_year=2019&start_year=1990 (accessed on 15 November 2022).
- International Energy Agency Transport—Energy System. Available online: https://www.iea.org/energy-system/transport (accessed on 24 October 2023).
- Moultak, M.; Lutsey, N.; Hall, D. Transitioning to Zero-Emission Heavy-Duty Freight Vehicles; International Council on Clean Transportation: Washington, DC, USA, 2017. [Google Scholar]
- European Environment Agency. European Environment Agency Decarbonising Road Transport—The Role of Vehicles, Fuels and Transport Demand; European Environment Agency: Copenhagen, Denmark, 2022. [Google Scholar]
- Climate Change Committee. Climate Change Committee Sixth Carbon Budget Surface Transport; Climate Change Committee: London, UK, 2020. [Google Scholar]
- National Infrastructure Commission. CEPA and Frazer-Nash Reducing the Environmental Impact of Freight—NIC; National Infrastructure Commission: London, UK, 2018. [Google Scholar]
- Neuhausen, J.; Foltz, C.; Ros, P. Felix Andre Truck Study 2020: Making Zero-Emission Trucking a Reality. Available online: https://www.strategyand.pwc.com/de/de/studie/2020/green-trucking.html (accessed on 22 November 2022).
- Gustafsson, M.; Svensson, N.; Eklund, M.; Dahl Öberg, J.; Vehabovic, A. Well-to-wheel greenhouse gas emissions of heavy-duty transports: Influence of electricity carbon intensity. Transp. Res. Part D Transp. Environ. 2021, 93, 102757. [Google Scholar] [CrossRef]
- UK Department for Transport. Future of Freight Plan: A Long-Term Plan; GOV.UK: London, UK, 2022. [Google Scholar]
- United Nations Climate Change The Paris Agreement. Available online: https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement (accessed on 16 November 2022).
- Intergovernmental Panel on Climate Change. Climate Change 2021: The Physical Science Basis; Intergovernmental Panel on Climate Change: Geneva, Switzerland, 2021; pp. 16–17. [Google Scholar]
- International Energy Agency. Global EV Outlook 2022; International Energy Agency: Paris, France, 2022. [Google Scholar]
- International Energy Agency. Transport Sector CO2 Emissions by Mode in the Sustainable Development Scenario, 2000–2030—Charts—Data & Statistics. Available online: https://www.iea.org/data-and-statistics/charts/transport-sector-co2-emissions-by-mode-in-the-sustainable-development-scenario-2000-2030 (accessed on 18 November 2022).
- Shafiei, E.; Davidsdottir, B.; Leaver, J.; Stefansson, H.; Asgeirsson, E.I. Energy, economic, and mitigation cost implications of transition toward a carbon-neutral transport sector: A simulation-based comparison between hydrogen and electricity. J. Clean. Prod. 2017, 141, 237–247. [Google Scholar] [CrossRef]
- Çabukoglu, E.; Georges, G.; Küng, L.; Pareschi, G.; Boulouchos, K. Battery electric propulsion: An option for heavy-duty vehicles? Results from a Swiss case-study. Transp. Res. Part C Emerg. Technol. 2018, 88, 107–123. [Google Scholar] [CrossRef]
- Government Office for Science. Government Office for Science Future of Mobility: Decarbonising Road Freight—GOV.UK; Government Office for Science: London, UK, 2019. [Google Scholar]
- Heinz, D.; Peter, P.; Arno, H.; Bardo, H.; Viktoria, M.; Yvonne, T.; Claudia, B.; Monika, W.; Andreas, R.; Steffen, B. Eco-optimisation of Goods Supply by Road Transport: From Logistic Requirements Via Freight Transport Cycles to Efficiency-maximised Vehicle Powertrains. Transp. Res. Procedia 2016, 14, 2785–2794. [Google Scholar] [CrossRef]
- Talebian, H.; Herrera, O.E.; Tran, M.; Mérida, W. Electrification of road freight transport: Policy implications in British Columbia. Energy Policy 2018, 115, 109–118. [Google Scholar] [CrossRef]
- International Road Transport Union. Transport & Mobility Leuven and IRU Commercial Vehicle of the Future; International Road Transport Union: Geneva, Switzerland, 2017. [Google Scholar]
- Zemo Partnership Decarbonising Heavy-Duty Vehicles through the Use of Renewable Fuels. Available online: https://www.zemo.org.uk/assets/presentations/LowCVP-Renewable-Fuels-in-HDVs-Webinar-May2020.pdf (accessed on 2 December 2022).
- Shell. Shell Decarbonising Road Freight; Shell: London, UK, 2021. [Google Scholar]
- Catapult Energy Systems. Catapult Energy Systems The Road to Zero Freight Emissions; Catapult Energy Systems: Birmingham, UK, 2019. [Google Scholar]
- Climate Change Committee. Element Energy Limited Analysis to Provide Costs, Efficiencies and Roll-Out Trajectories for Zero-Emission HGVs, Buses and Coaches (Element Energy)—Climate Change Committee; Climate Change Committee: London, UK, 2020. [Google Scholar]
- Transport & Environment. Transport & Environment How to Decarbonise European Transport by 2050—Transport & Environment; Transport & Environment: Brussels, Belgium, 2018. [Google Scholar]
- Bal, F.; Vleugel, J.M. Heavy-duty trucks and new engine technology: Impact on fuel consumption, emissions and trip cost. Int. J. Energy Prod. Manag. 2018, 3, 167–178. [Google Scholar] [CrossRef]
- GOV.UK. Behavioural Evidence and Analysis for Net Zero: Summary of Methodological Scoping Study Net Zero Societal Change Analysis Project; GOV.UK: London, UK, 2021. [Google Scholar]
- Brand, C.; Anable, J.; Morton, C. Energy for Mobility: Exploring Systemic Change in a ‘Net Zero’ World|UKERC|The UK Energy Research Centre; UK Energy Research Center: London, UK, 2019. [Google Scholar]
- Geels, F.W. A socio-technical analysis of low-carbon transitions: Introducing the multi-level perspective into transport studies. J. Transp. Geogr. 2012, 24, 471–482. [Google Scholar] [CrossRef]
- Bergek, A.; Jacobsson, S.; Carlsson, B.; Lindmark, S.; Rickne, A. Analyzing the functional dynamics of technological innovation systems: A scheme of analysis. Res. Policy 2008, 37, 407–429. [Google Scholar] [CrossRef]
- Schot, J.; Geels, F.W. Strategic niche management and sustainable innovation journeys: Theory, findings, research agenda, and policy. Technol. Anal. Strateg. Manag. 2008, 20, 537–554. [Google Scholar] [CrossRef]
- Loorbach, D. Transition Management for Sustainable Development: A Prescriptive, Complexity-Based Governance Framework. Governance 2009, 23, 161–183. [Google Scholar] [CrossRef]
- Churchman, P.; Longhurst, N. Where is our delivery? The political and socio-technical roadblocks to decarbonising United Kingdom road freight. Energy Res. Soc. Sci. 2022, 83, 102330. [Google Scholar] [CrossRef]
- Grant, M.J.; Booth, A. A typology of reviews: An analysis of 14 review types and associated methodologies. Health Inf. Libr. J. ; Health Inf. Libr. J. 2009, 26, 91–108. [Google Scholar] [CrossRef]
- Lapan, S.D.; Quartaroli, M.T.; Riemer, F.J. Qualitative Research: An Introduction to Methods and Designs; Jossey-Bass/Wiley: Hoboken, NJ, USA, 2012; p. 526. [Google Scholar]
- Clarke, V.; Braun, V. Thematic analysis. J. Posit. Psychol. 2017, 12, 297–298. [Google Scholar] [CrossRef]
- Banister, D.; Hickman, R. Transport futures: Thinking the unthinkable. Transp. Policy 2013, 29, 283–293. [Google Scholar] [CrossRef]
- Pan, W.; Chen, L.; Zhan, W. PESTEL Analysis of Construction Productivity Enhancement Strategies: A Case Study of Three Economies. J. Manag. Eng. 2019, 35, 05018013. [Google Scholar] [CrossRef]
- Yüksel, I. Developing a Multi-Criteria Decision Making Model for PESTEL Analysis. Int. J. Bus. Manag. 2012, 7, 52. [Google Scholar] [CrossRef]
- Shilei, L.; Yong, W. Target-oriented obstacle analysis by PESTEL modeling of energy efficiency retrofit for existing residential buildings in China’s northern heating region. Energy Policy 2009, 37, 2098–2101. [Google Scholar] [CrossRef]
- Pal, D.; Funilkul, S.; Vanijja, V.; Papasratorn, B. Analyzing the Elderly Users’ Adoption of Smart-Home Services. Access 2018, 6, 51238–51252. [Google Scholar] [CrossRef]
- Kvale, S. InterViews: An Introduction to Qualitative Research Interviewing; SAGE: Thousand Oaks, CA, USA; London, UK, 1996. [Google Scholar]
- Löschner, L.; Nordbeck, R.; Scherhaufer, P.; Seher, W. Scientist–stakeholder workshops: A collaborative approach for integrating science and decision-making in Austrian flood-prone municipalities. Environ. Sci. Policy 2016, 55, 345–352. [Google Scholar] [CrossRef]
- Gadgil, S.; Ekambaram, K.; Davies, H.; Jones, A.; Birrell, S. Determining the Social, Economic, Political and Technical Factors Significant to the Success of Dynamic Wireless Charging Systems through a Process of Stakeholder Engagement. Energies 2022, 15, 930. [Google Scholar] [CrossRef]
- Freeman, R.E. Strategic Management: A Stakeholder Approach; Cambridge University Press: Cambridge, UK, 2010. [Google Scholar]
- Nykvist, B.; Suljada, T.; Carlsen, H. How Can We Decarbonize Road Freight Transport by 2030? Stakeholder-Driven Scenarios for the Future of Heavy Vehicles in Sweden; SEI: Stockholm, Sweden, 2017. [Google Scholar]
- International Energy Agency. International Energy Agency The Future of Trucks—Analysis; International Energy Agency: Paris, France, 2017. [Google Scholar]
- Vega, A.; Evers, N. Implications of the UK HGV road user charge for Irish export freight transport stakeholders—A qualitative study. Case Stud. Transp. Policy 2016, 4, 208–217. [Google Scholar] [CrossRef]
- Kalton, G. Introduction to Survey Sampling; SAGE: London, UK, 1983. [Google Scholar]
- Auvinen, H.; Tuominen, A. Future transport systems: Long-term visions and socio-technical transitions. Eur. Transp. Res. Rev 2014, 6, 343–354. [Google Scholar] [CrossRef]
- Manivasakan, H.; Kalra, R.; O’Hern, S.; Fang, Y.; Xi, Y.; Zheng, N. Infrastructure requirement for autonomous vehicle integration for future urban and suburban roads—Current practice and a case study of Melbourne, Australia. Transp. Res. Part A Policy Pract. 2021, 152, 36–53. [Google Scholar] [CrossRef]
- California Air Resource Board. Advanced Clean Trucks Fact Sheet|California Air Resources Board. Available online: https://ww2.arb.ca.gov/resources/fact-sheets/advanced-clean-trucks-fact-sheet (accessed on 12 September 2023).
- Geels, F.W. From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory. Res. Policy 2004, 33, 897–920. [Google Scholar] [CrossRef]
- Schwanen, T.; Banister, D.; Anable, J. Scientific research about climate change mitigation in transport: A critical review. Transp. Res. Part A Policy Pract. 2011, 45, 993–1006. [Google Scholar] [CrossRef]
- Schippl, J. Assessing the desirability and feasibility of scenarios on eco-efficient transport: A heuristic for efficient stakeholder involvement during foresight processes. Foresight 2016, 18, 41–58. [Google Scholar] [CrossRef]
- Nykvist, B.; Nilsson, M. The EV paradox—A multilevel study of why Stockholm is not a leader in electric vehicles. Environ. Innov. Soc. Transit. 2015, 14, 26–44. [Google Scholar] [CrossRef]
- Brand, C.; Anable, J.; Morton, C. Lifestyle, efficiency and limits: Modelling transport energy and emissions using a socio-technical approach. Energy Effic. 2019, 12, 187–207. [Google Scholar] [CrossRef]
- Pregger, T.; Naegler, T.; Weimer-Jehle, W.; Prehofer, S.; Hauser, W. Moving towards socio-technical scenarios of the German energy transition—Lessons learned from integrated energy scenario building. Clim. Change 2020, 162, 1743–1762. [Google Scholar] [CrossRef]
Overarching Themes/ Questions/Challenges | Call for Action |
---|---|
List any other key challenge/barrier not listed in the table shown | Interoperability, space availability, political decision making, health and safety-related charging, and other high-voltage infrastructure |
What could be an effective radical new policy or policy change needed? | - Road pricing aligned to electrification outside the current toll-based ways - Carbon pricing - Reduce risk through creating niches that can be explored without penalty - Polluters to pay tax to help fund transition - Proactive grid investments given high lead-time difference between vehicle development and grid readiness - Charging station to be treated as national infrastructure - Policy focus aligned to step-wise change, like focus on fleet electrification first and then look at generation. For example, China reduced the battery price by focussing on electrification - Any solution that requires broader stakeholder collaboration might be tougher to achieve; hence, policy makers can use that also as a parameter to evaluate electrification solutions |
What is the behaviour change you would look for? | - Expecting next-day delivery for less-urgent items - Induct next-gen truck drivers and professionals in the distribution sector - Create avenues of BEV experience for truck drivers, can expedite adoption |
What is the operational change you would look for? | - Change from one-shift to two-shift operation to align to charging availability - Night driving (or slow autonomous driving) can be adopted to help with peak power demand, recharging action as a part of routine behaviour - New performance metric for the sector. For example, move from Total Cost of Ownership —TCO to Total Climate Impact—TCI, cost driven KPIs for small fleets and delivery times driven KPIs for large fleets |
Infrastructure | - More interconnected grids to better handle required loads |
System costs a concern for logistics industry | - Automated smart charging solutions to be promoted - Policy instruments, like carbon pricing, to adjust TCO |
Collaboration across actors/stakeholders | - Bus depots can be used for buses at night, and during the day, they can be used as opportunity charging for trucks - Manufacturers taking feedback from operators in building better range prediction solutions for electric trucks |
Challenges/Barriers | PESTEL Category |
---|---|
Varying but large infrastructure investment needed for all electrification technologies | Environmental |
Current policies amount to only incremental change but not radical | Political |
Required degree of system and/or behaviour change | Social |
Current metrices for road freight limiting us to current mindset/behaviour/system | Environmental |
Grids have not been tested for their required level of interconnectivity, resilience, and flexibility | Technological |
While a fully autonomous truck can bring energy efficiencies, there is lack of clarity on the powertrain technology to which the investment should be aligned | Economic |
Existing decarbonisation pathways are limited to an existing system; they do not take a system-of-systems approach | Environmental |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Jha, S.; Davies, H.; Pandey, M.; Deniz, Ö.; Jones, P. Moving on from a Diesel Mindset—Understanding Enablers and Challenges for Electrifying Road Freight Using Stakeholder Engagement. Future Transp. 2023, 3, 1326-1346. https://doi.org/10.3390/futuretransp3040073
Jha S, Davies H, Pandey M, Deniz Ö, Jones P. Moving on from a Diesel Mindset—Understanding Enablers and Challenges for Electrifying Road Freight Using Stakeholder Engagement. Future Transportation. 2023; 3(4):1326-1346. https://doi.org/10.3390/futuretransp3040073
Chicago/Turabian StyleJha, Sourabh, Huw Davies, Mukesh Pandey, Özcan Deniz, and Perry Jones. 2023. "Moving on from a Diesel Mindset—Understanding Enablers and Challenges for Electrifying Road Freight Using Stakeholder Engagement" Future Transportation 3, no. 4: 1326-1346. https://doi.org/10.3390/futuretransp3040073
APA StyleJha, S., Davies, H., Pandey, M., Deniz, Ö., & Jones, P. (2023). Moving on from a Diesel Mindset—Understanding Enablers and Challenges for Electrifying Road Freight Using Stakeholder Engagement. Future Transportation, 3(4), 1326-1346. https://doi.org/10.3390/futuretransp3040073