How IoT-Enabled New Energy Vehicles Enhance Sustainable Intelligent Transportation Systems in Smart Cities Under Unique Institutional Settings? Case Studies of China
Keywords:
internet of things, new energy vehicle, intelligent transportation system, smart city, case studyAbstract
The purpose of this paper is to study how government policies influence the advancement of IoT-enabled new energy vehicles (NEVs) in the context of sustainable intelligent transportation systems (ITS) in smart cities. As a crucial component of a smart city, the intelligent transportation system is the core of the development of urban transportation, whereas new energy vehicles comprise a critical element in ITS. Additionally, IoT is transforming vehicles with intelligence. Consequently, this paper starts with a bibliometric analysis to uncover hot spots to better comprehend China’s NEV industry. Further, this paper also examines the applications of IoT in NEVs and the current scenario of new energy vehicles in China by investigating multiple policies proposed by the government. Finally, the case of Guangdong province will be utilized as an illustration to promote IoT integration in the development of NEVs.
References
Adnan Khan, M. D. S., Kadir, K. M., Mahmood, K. S., Ibne Alam, M. I., Kamal, A., & Al Bashir, M. M. (2019). Technical investigation on V2G, S2V, and v2i for next generation smart city planning. Journal of Electronic Science and Technology, 17(4), 100010. https://doi.org/10.1016/j.jnlest.2020.100010
Alaba, F. A., Othman, M., Hashem, I. A., & Alotaibi, F. (2017). Internet of things security: A survey. Journal of Network and Computer Applications, 88, 10–28. https://doi.org/10.1016/j.jnca.2017.04.002
Ammar, M., Russello, G., & Crispo, B. (2018). Internet of things: A survey on the security of IOT Frameworks. Journal of Information Security and Applications, 38, 8–27. https://doi.org/10.1016/j.jisa.2017.11.002
Cao, J., Ma, M., Li, H., Ma, R., Sun, Y., Yu, P., & Xiong, L. (2020). A survey on security aspects for 3GPP 5G Networks. IEEE Communications Surveys & Tutorials, 22(1), 170–195. https://doi.org/10.1109/comst.2019.2951818
Chang, F., Li, C., Zheng, H., Yu, J., Yang, K., & Chen, W. (2021). Measurement-based characteristics of V2V channel for the scenarios of two vehicles meeting. Physical Communication, 48, 101425. https://doi.org/10.1016/j.phy-com.2021.101425
Chen, C., Cribbin, T., Macredie, R., & Morar, S. (2002). Visualizing and tracking the growth of competing paradigms: Two case studies. Journal of the American Society for Information Science and Technology, 53(8), 678–689. https://doi.org/10.1002/asi.10075
Cheng, X., Yang, L., & Shen, X. (2015). D2D for Intelligent Transportation Systems: A feasibility study. IEEE Transac¬tions on Intelligent Transportation Systems, 16(4), 1784–1793. https://doi.org/10.1109/tits.2014.2377074
Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches. Sage Publications.
Das, H. S., Rahman, M. M., Li, S., & Tan, C. W. (2020). Electric vehicles standards, charging infrastructure, and impact on grid integration: A Technological Review. Renewable and Sustainable Energy Reviews, 120, 109618. https://doi.org/10.1016/j.rser.2019.109618
de Arquer Fernández, P., Carús Candás, J. L., & Arboleya, P. (2023). Internet of things (IOT) for power system applications. Encyclopedia of Electrical and Electronic Power Engineering, 486–496. https://doi.org/10.1016/b978-0-12-821204-2.00072-6
Duque, J. (2023). The IOT to smart cities - A design science research approach. Procedia Computer Science, 219, 279–285. https://doi.org/10.1016/j.procs.2023.01.291
Du, J., & Ouyang, D. (2017). Progress of Chinese electric vehicles industrialization in 2015: A Review. Applied Energy, 188, 529–546. https://doi.org/10.1016/j.apenergy.2016.11.129
Eisenhardt, K., & Eisenhardt, K. M. (1989). Building theories from Case Study Research. Case Studies. https://doi.org/10.4135/9781473915480.n52
Gandotra, P., Kumar Jha, R., & Jain, S. (2017). A survey on device-to-device (D2D) communication: Architecture and security issues. Journal of Network and Computer Applications, 78, 9–29. https://doi.org/10.1016/j.jnca.2016.11.002
Ganin, A. A., Mersky, A. C., Jin, A. S., Kitsak, M., Keisler, J. M., & Linkov, I. (2019). Resilience in intelligent transpor¬tation systems (ITS). Transportation Research Part C: Emerging Technologies, 100, 318–329. https://doi.org/10.1016/j.trc.2019.01.014
Gao, Y., & Kwok, S. (2024). How to Utilize Technology to Enhance Profitability: A Study of the NPD Strategy of XPeng. In S. Kwok, M. Omran, & P. Yu (Eds.), Harnessing Technology for Knowledge Transfer in Accountancy, Auditing, and Finance (pp. 75–107). IGI Global. https://doi.org/10.4018/979-8-3693-1331-2.ch004
Gill, S. S., Tuli, S., Xu, M., Singh, I., Singh, K. V., Lindsay, D., Tuli, S., Smirnova, D., Singh, M., Jain, U., Pervaiz, H., Sehgal, B., Kaila, S. S., Misra, S., Aslanpour, M. S., Mehta, H., Stankovski, V., & Garraghan, P. (2019). Transformative effects of IOT, blockchain and Artificial Intelligence on Cloud Computing: Evolution, vision, trends and open challenges. Internet of Things, 8, 100118. https://doi.org/10.1016/j.iot.2019.100118
Giuliano, R., Vegni, A. M., Loscrí, V., Innocenti, E., Vizzarri, A., & Mazzenga, F. (2023). Musli: A Multi Sensor Lidar detection for C-V2X networks. Computer Networks, 221, 109514. https://doi.org/10.1016/j.comnet.2022.109514
Guangzhou People’s Government. (2022, July). Nation’s first self-driving operational cab born in Guangzhou. Guangzhou Municipal People’s Government Portal Website. https://gz.gov.cn/ysgz/xwdt/ysdt/content/post_8385198.html
Guerrero-ibanez, J. A., Zeadally, S., & Contreras-Castillo, J. (2015). Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies. IEEE Wireless Communications, 22(6), 122–128. https://doi.org/10.1109/mwc.2015.7368833
Guevara, L., & Auat Cheein, F. (2020). The role of 5G technologies: Challenges in smart cities and Intelligent Transportation Systems. Sustainability, 12(16), 6469. https://doi.org/10.3390/su12166469
Gzar, D. A., Mahmood, A. M., & Al-Adilee, M. K. (2022). Recent trends of Smart Agricultural Systems based on internet of things technology: A survey. Computers and Electrical Engineering, 104, 108453. https://doi.org/10.1016/j.compeleceng.2022.108453
Hassan, R., Qamar, F., Hasan, M. K., Aman, A. H., & Ahmed, A. S. (2020). Internet of things and its applications: A comprehensive survey. Symmetry, 12(10), 1674. https://doi.org/10.3390/sym12101674
He, W., & Hao, X. (2023). Competition and welfare effects of introducing new products into the new energy vehicle market: Empirical evidence from Tesla’s entry into the Chinese market. Transportation Research Part A: Policy and Practice, 174, 103730. https://doi.org/10.1016/j.tra.2023.103730
Hsiao, C. Y.-L., Yang, R., Zheng, X., & Chiu, Y.-B. (2023). Evaluations of policy contagion for new energy vehicle industry in China. Energy Policy, 173, 113402. https://doi.org/10.1016/j.enpol.2022.113402
Hu, J.-W., Javaid, A., & Creutzig, F. (2021). Leverage points for accelerating adoption of shared electric cars: Perceived benefits and environmental impact of Nevs. Energy Policy, 155, 112349. https://doi.org/10.1016/j.enpol.2021.112349
Jeong, Y. T., Shin, H. R., Lee, J., Ryu, M.-H., Choi, S., Kim, H., Jung, K.-N., & Lee, J.-W. (2023). Insight into pulse-charging for lithium plating-free fast-charging lithium-ion batteries. Electrochimica Acta, 462, 142761. https://doi.org/10.1016/j.electacta.2023.142761
Jiang, Z., & Xu, C. (2023). Policy incentives, government subsidies, and technological innovation in New Energy Vehicle Enterprises: Evidence from China. Energy Policy, 177, 113527. https://doi.org/10.1016/j.enpol.2023.113527
Jin, J., Gubbi, J., Marusic, S., & Palaniswami, M. (2014). An information framework for creating a smart city through internet of things. IEEE Internet of Things Journal, 1(2), 112–121. https://doi.org/10.1109/jiot.2013.2296516
Khalid, M. R., Alam, M. S., Sarwar, A., & Jamil Asghar, M. S. (2019). A comprehensive review on electric vehicles charging infrastructures and their impacts on power-quality of the utility grid. ETransportation, 1, 100006. https://doi.org/10.1016/j.etran.2019.100006
Klein, H. K., & Myers, M. D. (1999). A set of principles for conducting and Evaluating Interpretive Field Studies in Information Systems. MIS Quarterly, 23(1), 67. https://doi.org/10.2307/249410
Kobashi, T., Say, K., Wang, J., Yarime, M., Wang, D., Yoshida, T., & Yamagata, Y. (2020). Techno-economic assessment of photovoltaics plus electric vehicles towards household-sector decarbonization in Kyoto and Shenzhen by the year 2030. Journal of Cleaner Production, 253, 119933. https://doi.org/10.1016/j.jclepro.2019.119933
Kumar, R., U., V., & Tiwari, V. (2023). Optimized traffic engineering in Software Defined Wireless Network based IOT (SDWN-IOT): State-of-the-art, research opportunities and challenges. Computer Science Review, 49, 100572. https://doi.org/10.1016/j.cosrev.2023.100572
Lebrouhi, B. E., Khattari, Y., Lamrani, B., Maaroufi, M., Zeraouli, Y., & Kousksou, T. (2021). Key challenges for a large-scale development of Battery Electric Vehicles: A comprehensive review. Journal of Energy Storage, 44, 103273. https://doi.org/10.1016/j.est.2021.103273
Li, M. (2023, January 11). The number of new energy vehicles in China reached 13.1 million, showing a rapid growth trend. China’s new energy vehicle ownership reached 13.1 million units, showing a rapid growth trend_Rolling News_Chinese government website. https://www.gov.cn/xinwen/2023-01/11/content_5736281.htm
Li, Y., Ouyang, K., Li, N., Rahmani, R., Yang, H., & Pei, Y. (2020). A blockchain-assisted intelligent transportation system promoting data services with privacy protection. Sensors, 20(9), 2483. https://doi.org/10.3390/s20092483
Liazid, H., Lehsaini, M., & Liazid, A. (2023). Data transmission reduction using prediction and aggregation techniques in IOT-based wireless sensor networks. Journal of Network and Computer Applications, 211, 103556. https://doi.org/10.1016/j.jnca.2022.103556
Liu, Z., Hao, H., Cheng, X., & Zhao, F. (2018). Critical issues of energy efficient and new energy vehicles development in China. Energy Policy, 115, 92–97. https://doi.org/10.1016/j.enpol.2018.01.006
Lukkien, J. (2016). A systems of systems perspective on the internet of things. ACM SIGBED Review, 13(3), 56–62. https://doi.org/10.1145/2983185.2983195
Menouar, H., Guvenc, I., Akkaya, K., Uluagac, A. S., Kadri, A., & Tuncer, A. (2017). UAV-enabled intelligent transportation systems for the Smart City: Applications and challenges. IEEE Communications Magazine, 55(3), 22–28. https://doi.org/10.1109/mcom.2017.1600238cm
Miles, M., & Huberman, M. (1994). Qualitative Data Analysis: An expanded sourcebook. SAGE Publications.
Nancy W. Stauffer. (2021, April 29). China’s transition to electric vehicles. MIT News | Massachusetts Institute of Technology. https://news.mit.edu/2021/chinas-transition-electric-vehicles-0429
Onat, N. C., & Kucukvar, M. (2022). A systematic review on sustainability assessment of electric vehicles: Knowledge gaps and future perspectives. Environmental Impact Assessment Review, 97, 106867. https://doi.org/10.1016/j.eiar.2022.106867
Ouafiq, E. M., Saadane, R., Chehri, A., & Jeon, S. (2022). AI-based modeling and data-driven evaluation for smart farming-oriented big data architecture using IOT with energy harvesting capabilities. Sustainable Energy Technologies and Assessments, 52, 102093. https://doi.org/10.1016/j.seta.2022.102093
Pardo, C., Wei, R., & Ivens, B. S. (2022). Integrating the business networks and internet of things perspectives: A system of systems (SOS) approach for Industrial Markets. Industrial Marketing Management, 104, 258–275. https://doi.org/10.1016/j.indmarman.2022.04.012
Pei, L., Kong, H., & Xu, Y. (2023). Government subsidies, dual-credit policy, and enterprise performance: Empirical evidence from Chinese listed New Energy Vehicle Companies. Chinese Journal of Population, Resources and Environment, 21(2), 71–81. https://doi.org/10.1016/j.cjpre.2023.06.004
Qays, Md. O., Ahmad, I., Abu-Siada, A., Hossain, Md. L., & Yasmin, F. (2023). Key Communication Technologies, applications, protocols and future guides for IOT-assisted Smart Grid Systems: A Review. Energy Reports, 9, 2440–2452. https://doi.org/10.1016/j.egyr.2023.01.085
Qu, L., & Li, Y. (2019). Research on industrial policy from the perspective of demand-side open innovation—a case study of Shenzhen New Energy Vehicle Industry. Journal of Open Innovation: Technology, Market, and Complexity, 5(2), 31. https://doi.org/10.3390/joitmc5020031
Rahim, M. A., Rahman, M. A., Rahman, M. M., Asyhari, A. T., Bhuiyan, M. Z., & Ramasamy, D. (2021). Evolution of IOT-enabled connectivity and applications in Automotive Industry: A Review. Vehicular Communications, 27, 100285. https://doi.org/10.1016/j.vehcom.2020.100285
Ravikumar, K. C., Chiranjeevi, P., Manikanda Devarajan, N., Kaur, C., & Taloba, A. I. (2022). Challenges in internet of things towards the security using Deep Learning Techniques. Measurement: Sensors, 24, 100473. https://doi.org/10.1016/j.measen.2022.100473
Sadeghi-Niaraki, A. (2023). Internet of thing (IOT) review of Review: Bibliometric overview since its foundation. Future Generation Computer Systems, 143, 361–377. https://doi.org/10.1016/j.future.2023.01.016
Schünemann, B. (2011). V2X simulation runtime infrastructure vsimrti: An assessment tool to design Smart Traffic Management Systems. Computer Networks, 55(14), 3189–3198. https://doi.org/10.1016/j.comnet.2011.05.005
Shao, J., & Mišić, M. (2023). Why does electric vehicle deployment vary so much within a nation? comparing Chinese provinces by policy, economics, and socio-demographics. Energy Research & Social Science, 102, 103196. https://doi.org/10.1016/j.erss.2023.103196
Siddiqui, A. S., Marnay, C., & Wiser, R. H. (2007). Real Options Valuation of US federal renewable energy research, development, demonstration, and deployment. Energy Policy, 35(1), 265–279. https://doi.org/10.1016/j.enpol.2005.11.019
Silva, B. N., Khan, M., & Han, K. (2018). Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in Smart Cities. Sustainable Cities and Society, 38, 697–713. https://doi.org/10.1016/j.scs.2018.01.053
Sneha, Malik, P. K., Bilandi, N., & Gupta, A. (2022). Narrow Band-IOT and long-range technology of IOT Smart Communication: Designs and challenges. Computers & Industrial Engineering, 172, 108572. https://doi.org/10.1016/j.cie.2022.108572
Sobral, T., Galvão, T., & Borges, J. (2019). Visualization of urban mobility data from Intelligent Transportation Systems. Sensors, 19(2), 332. https://doi.org/10.3390/s19020332
Southern Metropolis Daily. (2021, October 30). Guangdong Intelligent Vehicle Industry Attractiveness Report (2021). Southern Metropolis Daily. https://www.southcn.com/
Srivastava, N., & Pandey, P. (2022). Internet of things (IOT): Applications, trends, issues and challenges. Materials Today: Proceedings, 69, 587–591. https://doi.org/10.1016/j.matpr.2022.09.490
Sun, L., Jafaripournimchahi, A., & Hu, W. (2020). A forward-looking anticipative viscous high-order continuum model considering two leading vehicles for traffic flow through wireless V2X communication in autonomous and Connected Vehicle Environment. Physica A: Statistical Mechanics and Its Applications, 556, 124589. https://doi.org/10.1016/j.physa.2020.124589
Swanborn, P. (2010). What is a case study? Case Study Research: What, Why and How?, 1–23. https://doi.org/10.4135/9781526485168.n1
Tang, Y. M., Chau, K. Y., Xu, D., & Liu, X. (2021). Consumer perceptions to support IOT based Smart Parcel Locker Logistics in China. Journal of Retailing and Consumer Services, 62, 102659. https://doi.org/10.1016/j.jretconser.2021.102659
Wang, A. (2023, January 12). China’s total automobile production and sales have ranked first in the world for 14 consecutive years. China’s total automobile production and sales ranked first in the world for 14 consecutive years_Rolling News_Chinese government website. https://www.gov.cn/xinwen/2023-01/12/content_5736536.htm
Wang, R., Gu, C., He, S., Shi, Z., & Meng, W. (2022). An interoperable and flat industrial internet of things architecture for low latency data collection in manufacturing systems. Journal of Systems Architecture, 129, 102631. https://doi.org/10.1016/j.sysarc.2022.102631
Wang, W., Huang, H., Yin, Z., Gadekallu, T. R., Alazab, M., & Su, C. (2022). Smart contract token-based privacy-preserving access control system for Industrial Internet of Things. Digital Communications and Networks. https://doi.org/10.1016/j.dcan.2022.10.005
Wu, C., Liu, B., Wu, D., Yang, H., Mao, X., Tan, J., Liang, Y., Sun, J. Y., Xia, R., Sun, J., He, G., Li, M., Deng, T., Zhou, Z., & Li, Y. J. (2021). Vertical profiling of black carbon and ozone using a multicopter unmanned aerial vehicle (UAV) in urban Shenzhen of south china. Science of The Total Environment, 801, 149689. https://doi.org/10.1016/j.scitotenv.2021.149689
Xu, H., Chen, J., Lin, H., & Yu, P. (2024a). Investigating Dependence Structure Among Subsectors of Technology Stocks: A Vine Copula Approach. European Academic Journal - II, 1(1). https://eaj.ebujournals.lu/index.php/EAJ_II/article/view/90
Xu, H., Chen, J., Lin, H., & Yu, P. (2024b). Unraveling Financial Interconnections: A Methodical Investigation into the Application of Copula Theory in Modeling Asset Dependence. European Academic Journal - II, 1(1). https://eaj.ebujournals.lu/index.php/EAJ_II/article/view/86
Xu, H., Wang, Y., Chen, J., Lin, H., & Yu, P. (2024). Evaluating the Predictive Power of the Energy-Related Uncertainty Index on Bitcoin Volatility. European Academic Journal - II, 1(1). https://eaj.ebujournals.lu/index.php/EAJ_II/article/view/89
Yang, Z., Li, Q., Yan, Y., Shang, W.-L., & Ochieng, W. (2022). Examining influence factors of Chinese electric vehicle market demand based on online reviews under moderating effect of subsidy policy. Applied Energy, 326, 120019. https://doi.org/10.1016/j.apenergy.2022.120019
Yin, R. K. (2014). Case study research: Design and methods. Sage Publication.
Yin, R. K. (2015). Case studies. International Encyclopedia of the Social & Behavioral Sciences, 194–201. https://doi.org/10.1016/b978-0-08-097086-8.10507-0
Yu, P., Chang, X., & Mandizvidza, K. (2023). Development of New Energy Vehicles in Entrepreneurial Ecosystem Under the Carbon Neutrality Policy in China. In B. Marco-Lajara, J. Martínez-Falcó, & L. A. Millán-Tudela (Eds.), Corporate Sustainability as a Tool for Improving Economic, Social, and Environmental Performance (pp. 55–84). IGI Global. https://doi.org/10.4018/978-1-6684-7422-8.ch004
Yu, P., Chen, J., & Xu, H. (2024). Sustainability and Stability: Asymmetric Time–Frequency Connectedness and Risk Spillovers Among EU–China ETSs, Clean Energy, Precious Metals, and Green Bonds. Preprints. https://doi.org/10.20944/preprints202406.0841.v1
Yu, P., Hu, X., Prakash, A., Misuko, N. W., & Haiyue, G. (Eds.). (2023). Opportunities and Challenges of Industrial IoT in 5G and 6G Networks (p. 304). IGI Global. https://doi.org/10.4018/978-1-7998-9266-3
Yu, P., Lang, H., Galang, J. I., & Xu, Y. (2023). The Role of Digital Twin in Accelerating the Digital Transformation of Smart Cities: Case Studies in China. In P. Yu, X. Hu, A. Prakash, N. W. Misuko, & G. Haiyue (Eds.), Opportunities and Challenges of Industrial IoT in 5G and 6G Networks (pp. 155–177). IGI Global. https://doi.org/10.4018/978-1-7998-9266-3.ch008
Yu, P., Neu, R., Gu, D., Sharma, R., Mehta, K., Xu, H., & Chen, J. (2024). Investigating the Role of Startup Conferences in Facilitating Knowledge Transfer and Collaboration Between Entrepreneurs and Venture Capitalists: A Case Study of Y&Archer A Stream 2023 in South Korea. In R. Sharma, K. Mehta, & P. Yu (Eds.), Fostering Innovation in Venture Capital and Startup Ecosystems (pp. 94–122). IGI Global. https://doi.org/10.4018/979-8-3693-1326-8.ch006
Yu, P., Song, J., Sampat, M., & Hanes, E. (2023). Digital Twins: Accelerating the Digital Transformation in the Chinese Transportation Sector. In Z. Fields (Ed.), Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration (pp. 121–154). IGI Global. https://doi.org/10.4018/978-1-6684-6366-6.ch007
Yu, P., Xu, H., & Chen, J. (2024a). Can ESG Integration Enhance the Stability of Disruptive Technology Stock Investments? Evidence from Copula-Based Approaches. Journal of Risk and Financial Management, 17(5). https://doi.org/10.3390/jrfm17050197
Yu, P., Xu, H., & Chen, J. (2024b). Double Asymmetric Impacts, Dynamic Correlations, and Risk Management Amidst Market Risks: A Comparative Study between the US and China. Journal of Risk and Financial Management, 17(3). https://doi.org/10.3390/jrfm17030099
Yu, P., Xu, S., Cheng, Z., & Sampat, M. (2023). Does the Development of New Energy Vehicles Promote Carbon Neutralization?: Case Studies in China. In A. Pego (Ed.), Climate Change, World Consequences, and the Sustainable Development Goals for 2030 (pp. 109–131). IGI Global. https://doi.org/10.4018/978-1-6684-4829-8.ch006
Yu, P., Zhao, Z., & Hanes, E. (2023). Integration of the Internet of Things and Blockchain to Promote Collaboration in Smart Cities: A Case Study in China. In P. Yu, X. Hu, A. Prakash, N. W. Misuko, & G. Haiyue (Eds.), Opportunities and Challenges of Industrial IoT in 5G and 6G Networks (pp. 1–29). IGI Global. https://doi.org/10.4018/978-1-7998-9266-3.ch001
Yu, P., Zhao, Z., & Sampat, M. (2023). How Digital Twin Technology Promotes the Development of Smart Cities: Case Studies in China. In I. Vasiliu-Feltes (Ed.), Impact of Digital Twins in Smart Cities Development (pp. 198–227). IGI Global. https://doi.org/10.4018/978-1-6684-3833-6.ch008
Yuan, X., Liu, X., & Zuo, J. (2015). The development of New Energy Vehicles for a sustainable future: A Review. Renewable and Sustainable Energy Reviews, 42, 298–305. https://doi.org/10.1016/j.rser.2014.10.016
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for Smart Cities. IEEE Internet of Things Journal, 1(1), 22-32. https://doi.org/10.1109/jiot.2014.2306328
Zhang, L., Huang, Z., Yu, F., Liao, S., Luo, H., Zhong, Z., Zhu, M., Li, Z., Cui, X., Yan, M., & Zheng, J. (2021). Road type-based driving cycle development and application to estimate vehicle emissions for passenger cars in Guangzhou. Atmospheric Pollution Research, 12(8), 101138. https://doi.org/10.1016/j.apr.2021.101138
Zhaoqing People’s Government. (2016, May 31). Zhaoqing Municipal People’s Government Office Government Information Disclosure. 2015 Zhaoqing Statistical Yearbook. http://www.zhaoqing.gov.cn/gkmlpt/content/1/1232/post_1232142.html#3960
Zhaoqing Release. (2022, October). Why Zhaoqing is favored by Ningde Times and Xiaopeng Auto? Here comes the in-depth decoding. Surge No.-Government_Surge News-The Paper. https://www.thepaper.cn/newsDetail_forward_20282912
Zhao, F., Chen, K., Hao, H., Wang, S., & Liu, Z. (2018). Technology development for electric vehicles under New Energy Vehicle Credit Regulation in China: Scenarios through 2030. Clean Technologies and Environmental Policy, 21(2), 275–289. https://doi.org/10.1007/s10098-018-1635-y
Zheng, Y., Shao, Z., Zhang, Y., & Jian, L. (2020). A systematic methodology for mid-and-long term electric vehicle charging load forecasting: The case study of shenzhen, China. Sustainable Cities and Society, 56, 102084. https://doi.org/10.1016/j.scs.2020.102084
Zhou, Y., Li, K., Liang, S., Zeng, X., Cai, Y., Meng, J., Shan, Y., Guan, D., & Yang, Z. (2023). Trends, drivers, and mitigation of CO2 emissions in the Guangdong–Hong Kong–macao greater bay area. Engineering, 23, 138–148. https://doi.org/10.1016/j.eng.2022.03.017
Zuo, W., Li, Y., & Wang, Y. (2019). Research on the optimization of New Energy Vehicle Industry Research and development subsidy about generic technology based on the three-way decisions. Journal of Cleaner Production, 212, 46–55. https://doi.org/10.1016/j.jclepro.2018.11.263