{"title":"How to promote sustainable consumption and development of NEV? Decoding complex interrelationships in consumer requirements and design practice","authors":"Zeng Wang, Shifan Niu, Shijie Hu, Wenqi Yang, Lingyu Huang","doi":"10.1016/j.jclepro.2024.144524","DOIUrl":null,"url":null,"abstract":"In addressing the global need for sustainable development, the rapidly growing new energy vehicle (NEV) industry has gained international attention as a key emerging sector. This investigation explores the complex interrelationships between sustainable design factors from both consumer-focused and operational perspectives across the stages of design, production, and market introduction of NEVs. Furthermore, the research highlights the importance of creating intelligent design solutions that align with the psychological and emotional expectations of consumers, thereby promoting the sustainable use of NEVs and contributing to worldwide sustainability initiatives. This study introduces an innovative framework designed to clarify the complex interactions among sustainable design factors and to create consumer-centric, intelligent design solutions. Initially, using extensive big data from the Chinese NEV market, the research utilizes natural language processing techniques to identify consumer-relevant factors. Subsequent analyses explore the profound impact and importance of these factors within sustainable design. Additionally, the study assesses sustainable design practices well-suited to the Chinese market with significant growth potential, utilizing hierarchical decomposition and network visualization to facilitate effective managerial implementation. Ultimately, this research employs latent diffusion models and prioritization strategies to evaluate and refine designs that align with consumer preferences for the aesthetic aspects of NEVs. It guides companies and designers to abandon traditional design approaches in favor of innovative, intelligent, and sustainable designs that engage consumers. By integrating insights from operations research, design studies, and the fields of neural networks and intelligent systems, this study provides a comprehensive exploration of consumer and design practices within the sustainability domain, delivering innovative insights that drive global progress and sustainable consumption of new energy vehicles.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"50 1","pages":""},"PeriodicalIF":10.0000,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cleaner Production","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.jclepro.2024.144524","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
In addressing the global need for sustainable development, the rapidly growing new energy vehicle (NEV) industry has gained international attention as a key emerging sector. This investigation explores the complex interrelationships between sustainable design factors from both consumer-focused and operational perspectives across the stages of design, production, and market introduction of NEVs. Furthermore, the research highlights the importance of creating intelligent design solutions that align with the psychological and emotional expectations of consumers, thereby promoting the sustainable use of NEVs and contributing to worldwide sustainability initiatives. This study introduces an innovative framework designed to clarify the complex interactions among sustainable design factors and to create consumer-centric, intelligent design solutions. Initially, using extensive big data from the Chinese NEV market, the research utilizes natural language processing techniques to identify consumer-relevant factors. Subsequent analyses explore the profound impact and importance of these factors within sustainable design. Additionally, the study assesses sustainable design practices well-suited to the Chinese market with significant growth potential, utilizing hierarchical decomposition and network visualization to facilitate effective managerial implementation. Ultimately, this research employs latent diffusion models and prioritization strategies to evaluate and refine designs that align with consumer preferences for the aesthetic aspects of NEVs. It guides companies and designers to abandon traditional design approaches in favor of innovative, intelligent, and sustainable designs that engage consumers. By integrating insights from operations research, design studies, and the fields of neural networks and intelligent systems, this study provides a comprehensive exploration of consumer and design practices within the sustainability domain, delivering innovative insights that drive global progress and sustainable consumption of new energy vehicles.
期刊介绍:
The Journal of Cleaner Production is an international, transdisciplinary journal that addresses and discusses theoretical and practical Cleaner Production, Environmental, and Sustainability issues. It aims to help societies become more sustainable by focusing on the concept of 'Cleaner Production', which aims at preventing waste production and increasing efficiencies in energy, water, resources, and human capital use. The journal serves as a platform for corporations, governments, education institutions, regions, and societies to engage in discussions and research related to Cleaner Production, environmental, and sustainability practices.