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Time and Money Matters for Sustainability: Insights on User Preferences on Renewable Energy for Electric Vehicle Charging Stations

Published: 01 September 2024 Publication History

Abstract

Charging electric vehicles (EVs) with renewable energy can lessen their environmental impact. However, the fluctuating availability of renewable energy affects the sustainability of public EV charging stations. Nearby public charging stations may utilize differing energy sources due to their microgrid connections - ranging from exclusively renewable to non-renewable or a combination of both - highlighting the substantial variability in energy supply types within short distances. This study investigates the near-future scenario of integrating dynamic renewable energy availability in charging station navigation to impact the choices of EV users towards renewable sources. We conducted a within-subjects design survey with 50 car users and semi-structured interviews with 10 EV users from rural, suburban, and urban areas. The results show that when choosing EV charging stations, drivers often prioritize either time savings or money savings based on the driving scenarios that influence drivers’ consumer value. Notably, EV users tend to select renewable-powered stations when they align with their main priority, be it saving money or time. This study offers end-user insights into the front-end graphic user interface and the development of the back-end ranking algorithm for navigation recommender systems that integrate dynamic renewable energy availability for the sustainable use of electric vehicles.

References

[1]
2019. ISO 9241-210:2019 Ergonomics of human-system interaction - Part 210: Human-centred design for interactive systems. ISO 9241-210:2019 (2019). https://www.iso.org/standard/77520.html
[2]
2020. EU Marie Curie Doctoral Networks - Gecko Project. https://gecko-project.eu/. (2020). Last Accessed: June 20, 2024.
[3]
Gonçalo Alface, João C Ferreira, and Rúben Pereira. 2019. Electric vehicle charging process and parking guidance app. Energies 12, 11 (2019), 2123.
[4]
Fatemeh Alizadeh, Sima Amirkhani, and Elias Schmittel. 2019. School Field Trips and Children’s Safety: A Teacher Assistant System for School Field Trips. (2019).
[5]
Amro Alsabbagh, Zhikang Li, and Chengbin Ma. 2021. Electric vehicle charging navigation strategy considering multiple customer concerns. In 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE, 879–884.
[6]
Natascia Andrenacci and Maria Pia Valentini. 2023. A Literature Review on the Charging Behaviour of Private Electric Vehicles. Applied Sciences 13, 23 (2023), 12877.
[7]
Mehrnaz Anvari, Gerald Lohmann, Matthias Wächter, Patrick Milan, Elke Lorenz, Detlev Heinemann, M Reza Rahimi Tabar, and Joachim Peinke. 2016. Short term fluctuations of wind and solar power systems. New Journal of Physics 18, 6 (2016), 063027.
[8]
Gustavo Aragón, Vinoth Pandian, Veronika Krauß, Otilia Werner-Kytölä, Gitte Thybo, and Elisa Pautasso. 2022. Feasibility and economical analysis of energy storage systems as enabler of higher renewable energy sources penetration in an existing grid. Energy 251 (2022), 123889.
[9]
Sotirios Athanasoulias, Fernanda Guasselli, Nikolaos Doulamis, Anastasios Doulamis, Nikolaos Ipiotis, Athina Katsari, Lina Stankovic, and Vladimir Stankovic. 2024. the Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece. Scientific Data 11, 1 (2024), 376.
[10]
Sotirios Athanasoulias, Stavros Sykiotis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis, and Nikolaos Ipiotis. 2023. OPT-NILM: An Iterative Prior-to-Full-Training Pruning Approach for Cost-Effective User Side Energy Disaggregation. IEEE Transactions on Consumer Electronics (2023).
[11]
Yue Cao, Tong Wang, Omprakash Kaiwartya, Geyong Min, Naveed Ahmad, and Abdul Hanan Abdullah. 2016. An EV charging management system concerning drivers’ trip duration and mobility uncertainty. IEEE Transactions on Systems, Man, and Cybernetics: Systems 48, 4 (2016), 596–607.
[12]
Gary Charness, Uri Gneezy, and Michael A Kuhn. 2012. Experimental methods: Between-subject and within-subject design. Journal of economic behavior & organization 81, 1 (2012), 1–8.
[13]
Xi Chen, Tianyang Zhang, Wenxing Ye, Zhiwei Wang, and Herbert Ho-Ching Iu. 2020. Blockchain-based electric vehicle incentive system for renewable energy consumption. IEEE Transactions on Circuits and Systems II: Express Briefs 68, 1 (2020), 396–400.
[14]
Ridoy Das, Yue Wang, Ghanim Putrus, Richard Kotter, Mousa Marzband, Bert Herteleer, and Jos Warmerdam. 2020. Multi-objective techno-economic-environmental optimisation of electric vehicle for energy services. Applied Energy 257 (2020), 113965.
[15]
Robert B Ekelund Jr and Robert F Hébert. 2013. A history of economic theory and method. Waveland Press.
[16]
Eurostat. 2023. 23% of Energy Consumed in 2022 Came from Renewables. https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20231222-2 Accessed: 2024-06-23.
[17]
Brian J Fogg. 1998. Persuasive computers: perspectives and research directions. In Proceedings of the SIGCHI conference on Human factors in computing systems. 225–232.
[18]
Asbjørn Følstad and Knut Kvale. 2018. Customer journeys: a systematic literature review. Journal of Service Theory and Practice 28, 2 (2018), 196–227.
[19]
Dieter Gantenbein, Carl Binding, Bernhard Jansen, Aditya Mishra, and Olle Sundström. 2012. EcoGrid EU: An efficient ICT approach for a sustainable power system. In 2012 Sustainable Internet and ICT for Sustainability (SustainIT). IEEE, 1–6.
[20]
Min Gao, Kecheng Liu, and Zhongfu Wu. 2010. Personalisation in web computing and informatics: Theories, techniques, applications, and future research. Information Systems Frontiers 12, 5 (2010), 607–629.
[21]
Klaus Goffart, Michael Schermann, Christopher Kohl, Jörg Preißinger, and Helmut Krcmar. 2016. Using the default option Bias to influence decision making while driving. International Journal of Human-Computer Interaction 32, 1 (2016), 39–50.
[22]
Paul E Green and Venkatachary Srinivasan. 1978. Conjoint analysis in consumer research: issues and outlook. Journal of consumer research 5, 2 (1978), 103–123.
[23]
Fernanda Caroline Guasselli, Apostolos Vavouris, Lina Stankovic, Vladimir Stankovic, Sébastien Didierjean, and Kirsten Gram-Hanssen. 2024. Smart energy technologies for the collective: Time-shifting, demand reduction and household practices in a Positive Energy Neighbourhood in Norway. Energy Research & Social Science (2024), 01–24.
[24]
Qinglai Guo, Shujun Xin, Hongbin Sun, Zhengshuo Li, and Boming Zhang. 2014. Rapid-charging navigation of electric vehicles based on real-time power systems and traffic data. IEEE Transactions on smart grid 5, 4 (2014), 1969–1979.
[25]
Pawan Kumar Gurjar, Chandra Prakash Barala, Parul Mathuria, and Rohit Bhakar. 2022. Electric Vehicles Navigation Planning and Operation for Smart City: A Review. In 2022 1st International Conference on Sustainable Technology for Power and Energy Systems. IEEE, 1–6.
[26]
Tom Hargreaves. 2011. Practice-ing behaviour change: Applying social practice theory to pro-environmental behaviour change. Journal of consumer culture 11, 1 (2011), 79–99.
[27]
N Himabindu, Santoshkumar Hampannavar, B Deepa, and M Swapna. 2021. Analysis of microgrid integrated Photovoltaic (PV) Powered Electric Vehicle Charging Stations (EVCS) under different solar irradiation conditions in India: A way towards sustainable development and growth. Energy reports 7 (2021), 8534–8547.
[28]
IEA. 2020. Sustainable Recovery. Retrieved January 10, 2023 from https://www.iea.org/reports/sustainable-recovery/electricity
[29]
IEA. 2023. Electricity Market Report 2023. Retrieved March 1, 2023 from https://www.iea.org/reports/electricity-market-report-2023
[30]
Dietmar Jannach, Sidra Naveed, and Michael Jugovac. 2017. User control in recommender systems: Overview and interaction challenges. In E-Commerce and Web Technologies: 17th International Conference, EC-Web 2016, Porto, Portugal, September 5-8, 2016, Revised Selected Papers 17. Springer, 21–33.
[31]
Florian Knobloch, Steef V Hanssen, Aileen Lam, Hector Pollitt, Pablo Salas, Unnada Chewpreecha, Mark AJ Huijbregts, and Jean-Francois Mercure. 2020. Net emission reductions from electric cars and heat pumps in 59 world regions over time. Nature sustainability 3, 6 (2020), 437–447.
[32]
Veronika Krauß and Yücel Uzun. 2020. Supporting medical auxiliary work: The central sterile services department as a challenging environment for augmented reality applications. In 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). IEEE, 665–671.
[33]
Sarah Ladislaw and Stephen Naimoli. 2019. U.S. and EU Power Sector Market Structure: Historic Evolution and Impact on Renewables Deployment. https://csis-website-prod.s3.amazonaws.com/s3fs-public/publication/190925_LadislawNaimoli_U.S.EUPowerSector_wEU.pdf Last Accessed: 2024-06-23.
[34]
Marvin Landwehr, Philip Engelbutzeder, and Volker Wulf. 2021. Community supported agriculture: the concept of solidarity in mitigating between harvests and needs. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–13.
[35]
Dennis Lawo, Lukas Böhm, Anna-Katharina Flügge, Christina Pakusch, and Gunnar Stevens. 2021. Going car-free: investigating mobility practice transformations and the role of ICT. In Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications (CHIRA 2021), October 28-29, 2021. SciTePress, Science and Technology Publications, 36–47.
[36]
Dennis Lawo, Margarita Esau, Philip Engelbutzeder, and Gunnar Stevens. 2020. Going vegan: The role (s) of ICT in vegan practice transformation. Sustainability 12, 12 (2020), 5184.
[37]
Dennis Lawo, Thomas Neifer, Margarita Esau, and Gunnar Stevens. 2021. Buying the ‘right’thing: Designing food recommender systems with critical consumers. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–13.
[38]
Haoming Liu, Wenqian Yin, Xiaoling Yuan, and Man Niu. 2018. Reserving charging decision-making model and route plan for electric vehicles considering information of traffic and charging station. Sustainability 10, 5 (2018), 1324.
[39]
Francesco Lo Franco, Mattia Ricco, Riccardo Mandrioli, and Gabriele Grandi. 2020. Electric vehicle aggregate power flow prediction and smart charging system for distributed renewable energy self-consumption optimization. Energies 13, 19 (2020), 5003.
[40]
Juergen Luettin, Susanne Rothermel, and Mark Andrew. 2019. Future of in-vehicle recommendation systems@ Bosch. In Proceedings of the 13th ACM Conference on Recommender Systems. 524–524.
[41]
Kalle Lyytinen and Youngjin Yoo. 2002. Ubiquitous computing. Commun. ACM 45, 12 (2002), 63–96.
[42]
Vangelis Marinakis, Alexandra G Papadopoulou, George Anastasopoulos, Haris Doukas, and John Psarras. 2015. Advanced ICT platform for real-time monitoring and infrastructure efficiency at the city level. In 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA). IEEE, 1–5.
[43]
F.C. McBride, E.E. Ballantyne, and D.A. Stone. 2023. Combining Urban Fleet Vehicle Operation with Reducing Energy Wastage in Light Rail Systems. Transportation Research Procedia 70 (2023), 115–122. https://doi.org/10.1016/j.trpro.2023.11.009
[44]
Christoforos Menos-Aikateriniadis, Stavros Sykiotis, and Pavlos S Georgilakis. 2024. Unlocking the potential of smart EV charging: A user-oriented control system based on Deep Reinforcement Learning. Electric Power Systems Research 230 (2024), 110255.
[45]
Johanna Meurer, Dennis Lawo, Christina Pakusch, Peter Tolmie, and Volker Wulf. 2019. Opportunities for Sustainable Mobility: Re-thinking Eco-feedback from a Citizen’s Perspective. In Proceedings of the 9th International Conference on Communities & Technologies-Transforming Communities. 102–113.
[46]
Martijn Millecamp, Sidra Naveed, Katrien Verbert, and Jürgen Ziegler. 2019. To explain or not to explain: The effects of personal characteristics when explaining feature-based recommendations in different domains. In Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, Vol. 2450. CEUR; http://ceur-ws. org/Vol-2450/paper2. pdf, 10–18.
[47]
Abdallah Mohammed, Omar Saif, Maged Abo-Adma, Ashraf Fahmy, and Rasha Elazab. 2024. Strategies and sustainability in fast charging station deployment for electric vehicles. Nature Scientific Reports 14, 1 (2024), 283.
[48]
FM Mulder. 2014. Implications of diurnal and seasonal variations in renewable energy generation for large scale energy storage. Journal of Renewable and Sustainable Energy 6, 3 (2014).
[49]
National Grid ESO. 2023. Carbon Intensity API. Retrieved May 1, 2023 from https://carbonintensity.org.uk
[50]
Sidra Naveed. 2021. An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations. Ph. D. Dissertation. Duisburg, Essen, 2021.
[51]
Sidra Naveed, Tim Donkers, and Jürgen Ziegler. 2018. Argumentation-based explanations in recommender systems: Conceptual framework and empirical results. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization. 293–298.
[52]
Sidra Naveed, Benedikt Loepp, and Jürgen Ziegler. 2020. On the use of feature-based collaborative explanations: An empirical comparison of explanation styles. In Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization. 226–232.
[53]
Sidra Naveed and Jürgen Ziegler. 2019. Feature-Driven Interactive Recommendations and Explanations with Collaborative Filtering Approach. In ComplexRec@ RecSys. 10–15.
[54]
Sidra Naveed and Jürgen Ziegler. 2020. Featuristic: An interactive hybrid system for generating explainable recommendations-beyond system accuracy. In IntRS@ RecSys. 14–25.
[55]
Jakob Nielsen and Don Norman. 2023. Between-Subjects vs. Within-Subjects Study Design. https://www.nngroup.com/articles/between-within-subjects/ Last Accessed: 2024-01-23.
[56]
Ian Andrew Nienhueser and Yueming Qiu. 2016. Economic and environmental impacts of providing renewable energy for electric vehicle charging–A choice experiment study. Applied energy 180 (2016), 256–268.
[57]
California Office of the Governor. 2018. Governor Brown Takes Action to Increase Zero-Emission Vehicles, Fund New Climate Investments. https://archive.gov.ca.gov/archive/gov39/2018/01/26/governor-brown-takes-action-to-increase-zero-emission-vehicles-fund-new-climate-investments/index.html Last Accessed: 2024-06-23.
[58]
Christina Pakusch and Paul Bossauer. 2017. User Acceptance of Fully Autonomous Public Transport. In ICE-B. 52–60.
[59]
European Parliament. 2022. EU Ban on Sale of New Petrol and Diesel Cars from 2035 Explained. European Parliament (October 2022). www.europarl.europa.eu/news/en/headlines/economy/20221019STO44572/eu-ban-on-sale-of-new-petrol-and-diesel-cars-from-2035-explained Last Accessed: 2024-01-18.
[60]
Dimitris Potoglou, Rongqiu Song, and Georgina Santos. 2023. Public charging choices of electric vehicle users: A review and conceptual framework. Transportation Research Part D: Transport and Environment 121 (2023), 103824.
[61]
Shadan Sadeghian, Philipp Wintersberger, Matthias Laschke, and Marc Hassenzahl. 2022. Designing Sustainable Mobility: Understanding Users’ Behavior. In Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Seoul, Republic of Korea) (AutomotiveUI ’22). Association for Computing Machinery, New York, NY, USA, 34–44. https://doi.org/10.1145/3543174.3546833
[62]
George F Savari, Vijayakumar Krishnasamy, Jagabar Sathik, Ziad M Ali, and Shady HE Abdel Aleem. 2020. Internet of Things based real-time electric vehicle load forecasting and charging station recommendation. ISA transactions 97 (2020), 431–447.
[63]
Steffen Schlömer, Thomas Bruckner, Lew Fulton, Edgar Hertwich, Alan McKinnon, Daniel Perczyk, Joyashree Roy, Roberto Schaeffer, Ralph Sims, Pete Smith, 2014. Annex III: Technology-specific cost and performance parameters. In Climate change 2014: Mitigation of climate change: Contribution of working group III to the fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, 1329–1356.
[64]
Sven Schoenberg and Falko Dressler. 2019. Planning ahead for EV: Total travel time optimization for electric vehicles. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC). IEEE, 3068–3075.
[65]
M. Schröder, Z. Abdin, and W. Mérida. 2020. Optimization of distributed energy resources for electric vehicle charging and fuel cell vehicle refueling. Applied Energy 277 (2020), 115562. https://doi.org/10.1016/j.apenergy.2020.115562
[66]
Tobias Schwartz, Sebastian Denef, Gunnar Stevens, Leonardo Ramirez, and Volker Wulf. 2013. Cultivating energy literacy: results from a longitudinal living lab study of a home energy management system. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 1193–1202.
[67]
Tobias Schwartz, Gunnar Stevens, Timo Jakobi, Sebastian Denef, Leonardo Ramirez, Volker Wulf, and Dave Randall. 2015. What people do with consumption feedback: a long-term living lab study of a home energy management system. Interacting with Computers 27, 6 (2015), 551–576.
[68]
Tobias Schwartz, Gunnar Stevens, Leonardo Ramirez, and Volker Wulf. 2013. Uncovering practices of making energy consumption accountable: A phenomenological inquiry. ACM Transactions on Computer-Human Interaction (TOCHI) 20, 2 (2013), 1–30.
[69]
Md Shajalal, Alexander Boden, Gunnar Stevens, Delong Du, and Dean-Robin Kern. 2024. Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments. arXiv preprint arXiv:2404.16074 (2024).
[70]
Elizabeth Shove, Mika Pantzar, and Matt Watson. 2012. The dynamics of social practice: Everyday life and how it changes. Sage.
[71]
Valério Souza-Neto, Osiris Marques, Verônica Feder Mayer, and Gui Lohmann. 2023. Lowering the harm of tourist activities: A systematic literature review on nudges. Journal of Sustainable Tourism 31, 9 (2023), 2173–2194.
[72]
Anna Spagnolli, Nicola Corradi, Luciano Gamberini, Eve Hoggan, Giulio Jacucci, Cecilia Katzeff, Loove Broms, and Li Jonsson. 2011. Eco-feedback on the go: Motivating energy awareness. Computer 44, 5 (2011), 38–45.
[73]
P. Sreedharan, J. Farbes, E. Cutter, C.K. Woo, and J. Wang. 2016. Microgrid and renewable generation integration: University of California, San Diego. Applied Energy 169 (2016), 709–720. https://doi.org/10.1016/j.apenergy.2016.02.053
[74]
SSE. 2023. Coire Glas Helping Scotland and the UK deliver net zero. Retrieved Dec 30, 2023 from https://www.sserenewables.com/media/4qjjvejy/coire-glas_stakeholder-briefing-doc_may-v1-5-1.pdf
[75]
Gunnar Stevens, Paul Bossauer, Thomas Neifer, and Stefan Hanschke. 2017. Using shopping data to design sustainable consumer apps. In 2017 Sustainable Internet and ICT for Sustainability (SustainIT). IEEE, 1–3.
[76]
Gunnar Stevens, Paul Bossauer, Stephanie Vonholdt, and Christina Pakusch. 2019. Using time and space efficiently in driverless cars: findings of a co-design study. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–14.
[77]
Junyan Su, Qiulin Lin, and Minghua Chen. 2023. Follow the Sun and Go with the Wind: Carbon Footprint Optimized Timely E-Truck Transportation. In Proceedings of the 14th ACM International Conference on Future Energy Systems (Orlando, FL, USA) (e-Energy ’23). Association for Computing Machinery, New York, NY, USA, 159–171. https://doi.org/10.1145/3575813.3595193
[78]
Kantamon Sukkrajang, Rakkrit Duangsoithong, and Kusumal Chalermyannont. 2021. Trade distance and price model for electric vehicle charging using blockchain-based technology. In 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 964–967.
[79]
John Sweller. 1988. Cognitive load during problem solving: Effects on learning. Cognitive science 12, 2 (1988), 257–285.
[80]
Stavros Sykiotis, Christoforos Menos-Aikateriniadis, Anastasios Doulamis, Nikolaos Doulamis, and Pavlos S Georgilakis. 2023. A self-sustained EV charging framework with N-step deep reinforcement learning. Sustainable Energy, Grids and Networks 35 (2023), 101124.
[81]
Wen-Shan Tan, Mohammad Yusri Hassan, Md Shah Majid, and Hasimah Abdul Rahman. 2013. Optimal distributed renewable generation planning: A review of different approaches. Renewable and Sustainable Energy Reviews 18 (2013), 626–645. https://doi.org/10.1016/j.rser.2012.10.039
[82]
Xiaoying Tang, Suzhi Bi, and Ying-Jun Angela Zhang. 2018. Distributed routing and charging scheduling optimization for internet of electric vehicles. IEEE Internet of Things Journal 6, 1 (2018), 136–148.
[83]
Alireza Attarhay Tehrani, Omid Veisi, Bahereh Vojdani Fakhr, and Delong Du. 2024. Predicting solar radiation in the urban area: A data-driven analysis for sustainable city planning using artificial neural networking. Sustainable Cities and Society 100 (2024), 105042.
[84]
Chiara Tellarini and Kirsten Gram-Hanssen. 2024. “If something breaks, who comes here to fix it?”: Island narratives on the energy transition in light of the concept of practice architectures. Energy Research & Social Science 114 (2024), 103617.
[85]
Richard Thaler. 1980. Toward a positive theory of consumer choice. Journal of economic behavior & organization 1, 1 (1980), 39–60.
[86]
Richard H Thaler and Cass R Sunstein. 2009. Nudge: Improving decisions about health, wealth, and happiness. Penguin.
[87]
U.S. Energy Information Administration. 2023. Monthly Energy Review (September 2023). Retrieved January 10, 2023 from https://www.eia.gov/totalenergy/data/flow-graphs/electricity.php
[88]
Apostolos Vavouris, Fernanda Guasselli, Lina Stankovic, Vladimir Stankovic, Kirsten Gram-Hanssen, and Sébastien Didierjean. 2024. A complex mixed-methods data-driven energy-centric evaluation of net-positive households. Applied Energy 367 (2024), 123404. https://doi.org/10.1016/j.apenergy.2024.123404
[89]
Apostolos Vavouris, Lina Stankovic, and Vladimir Stankovic. 2023. Integration of Drivers’ Routines into Lifecycle Assessment of Electric Vehicles. Transportation Research Procedia 70 (2023), 322–329. https://doi.org/10.1016/j.trpro.2023.11.036
[90]
Omid Veisi, Delong Du, Mohammad Amin Moradi, Fernanda Caroline Guasselli, Sotiris Athanasoulias, Hussain Abid Syed, Claudia Müller, and Gunnar Stevens. 2023. Designing SafeMap Based on City Infrastructure and Empirical Approach: Modified A-Star Algorithm for Earthquake Navigation Application. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI. 61–70.
[91]
Anant Atul Visaria, Anders Fjendbo Jensen, Mikkel Thorhauge, and Stefan Eriksen Mabit. 2022. User preferences for EV charging, pricing schemes, and charging infrastructure. Transportation Research Part A: Policy and Practice 165 (2022), 120–143.
[92]
John Von Neumann and Oskar Morgenstern. 2007. Theory of games and economic behavior (60th Anniversary Commemorative Edition). Princeton University Press.
[93]
Steffen P Walz and Sebastian Deterding. 2015. The gameful world: Approaches, issues, applications. Mit Press.
[94]
Yue Wang, Enjian Yao, and Long Pan. 2021. Electric vehicle drivers’ charging behavior analysis considering heterogeneity and satisfaction. Journal of Cleaner Production 286 (2021), 124982.
[95]
Philipp Wintersberger, Ambika Shahu, Johanna Reisinger, Fatemeh Alizadeh, and Florian Michahelles. 2022. Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation. In Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia. 189–199.
[96]
Guoyuan Wu, Kanok Boriboonsomsin, and Matthew J Barth. 2020. Eco-routing navigation system for electric vehicles. arXiv preprint arXiv:2008.09674 (2020).
[97]
Bolin Yu, Debin Fang, and Jingxuan Meng. 2021. Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China. Energy 234 (2021), 121295. https://doi.org/10.1016/j.energy.2021.121295
[98]
Bolin Yu, Debin Fang, Hongwei Yu, and Chaoyang Zhao. 2021. Temporal-spatial determinants of renewable energy penetration in electricity production: Evidence from EU countries. Renewable Energy 180 (2021), 438–451. https://doi.org/10.1016/j.renene.2021.08.079
[99]
Jiahai Yuan, Jiakun Shen, Li Pan, Changhong Zhao, and Junjie Kang. 2014. Smart grids in China. Renewable and Sustainable Energy Reviews 37 (2014), 896–906.
[100]
Xingping Zhang, Yanni Liang, Enhai Yu, Rao Rao, and Jian Xie. 2017. Review of electric vehicle policies in China: Content summary and effect analysis. Renewable and Sustainable Energy Reviews 70 (2017), 698–714.
[101]
Yimin Zhou. 2018. The Overview of the EV Charging Station Regulation. In 2018 37th Chinese Control Conference (CCC). IEEE, 8969–8974.
[102]
Gabe Zichermann and Christopher Cunningham. 2011. Gamification by design: Implementing game mechanics in web and mobile apps. " O’Reilly Media, Inc.".
[103]
John Zimmerman, Jodi Forlizzi, and Shelley Evenson. 2007. Research through design as a method for interaction design research in HCI. In Proceedings of the SIGCHI conference on Human factors in computing systems. 493–502.

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MuC '24: Proceedings of Mensch und Computer 2024
September 2024
719 pages
ISBN:9798400709982
DOI:10.1145/3670653
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  1. Charging Station
  2. EV User
  3. Electric Vehicles
  4. Navigation
  5. Renewable Energy
  6. Sustainability

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