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Research on implementation factors of product ecological design based on digital collaboration 基于数字协作的产品生态设计实施因素研究
Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2024.06.001
Qing Liu, Yongzhong Zhang

To assist enterprises in adapting to the challenges of the digital era during the product eco-design stage, based on the synergistic symbiosis theory and the eco-strategy wheel, combined with literature research and expert interviews, this study identifies 11 factors for enterprises to realize product eco-design under digital collaboration. In this study, the Decision-making Trial and Evaluation Laboratory (DEMATEL) method was used to aggregate the identified 11 factors into four factor sets: strong cause, weak cause, strong result, and weak result; and the Interpretive Structural Model (ISM) was used to create a multilevel recursive model of product eco-design for digital collaboration. The study's findings show that: digital collaborative product eco-design is a combination of intra-organizational, intra-organizational, and external organizational synergies; and digital collaboration improves the efficiency of eco-design technology acquisition. This research provides a scientific foundation for company managers to make product eco-design decisions in the context of the worldwide digitalization trend.

为了帮助企业在产品生态设计阶段适应数字化时代的挑战,本研究以协同共生理论和生态战略轮为基础,结合文献研究和专家访谈,确定了企业在数字化协同下实现产品生态设计的11个因素。本研究采用决策试验与评估实验室(DEMATEL)方法,将识别出的 11 个因素聚合为四个因素集:强原因、弱原因、强结果和弱结果;并采用解释性结构模型(ISM)创建了数字协作产品生态设计的多层次递归模型。研究结果表明:数字化协同产品生态设计是组织内部协同、组织内部协同和外部组织协同的结合;数字化协同提高了生态设计技术获取的效率。这项研究为企业管理者在全球数字化趋势下进行产品生态设计决策提供了科学依据。
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引用次数: 0
Exploring electric vehicle adoption in Indonesia using zero-shot aspect-based sentiment analysis 利用基于方面的零点情感分析探索印度尼西亚电动汽车的采用情况
Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2024.08.002
Sinung Adi Nugroho , Sunu Widianto
Transportation emissions significantly contribute to greenhouse gases (GHG) and climate change. Electric vehicles (EVs) offer a promising solution to this problem. Despite the noteworthy adoption of EVs in emerging economies like China and Europe, the pace of EV rollout in Indonesia remains sluggish. Currently, the country's rate of EV adoption is below 0.3 %, leading to stagnation in the Indonesian electric vehicle market. Several factors have impeded the adoption of EVs in Indonesia. Previous studies have investigated consumer acceptance of EV adoption in specific countries using sentiment analysis. Various data analytics and machine learning techniques have been implemented in those studies. However, those studies predominantly rely on the traditional sentiment analysis method, which assigns a single sentiment classification to each document or sentence. On the other hand, this study aims to investigate consumer acceptance of electric vehicle adoption in Indonesia through Twitter conversations. It utilises the Zero-Shot Aspect-Based Sentiment Analysis (ABSA) approach, which can provide a more fine-grained analysis of the aspects discussed and their corresponding sentiments. The findings demonstrate the effectiveness of this approach in identifying discussed aspects within tweets, though its sentiment classification performance is limited. The research also uncovers crucial aspects of electric vehicle adoption and public sentiments on Twitter. These insights could provide valuable guidance to the government and other stakeholders regarding the concerns associated with EV adoption in Indonesia.
交通排放严重加剧了温室气体(GHG)和气候变化。电动汽车(EV)为这一问题提供了一个前景广阔的解决方案。尽管电动汽车在中国和欧洲等新兴经济体的采用率很高,但在印尼,电动汽车的推广速度仍然缓慢。目前,印尼的电动汽车采用率低于 0.3%,导致印尼电动汽车市场停滞不前。有几个因素阻碍了电动汽车在印尼的应用。以往的研究利用情感分析法调查了特定国家消费者对电动汽车采用的接受程度。这些研究采用了各种数据分析和机器学习技术。然而,这些研究主要依赖于传统的情感分析方法,即对每个文档或句子进行单一的情感分类。另一方面,本研究旨在通过 Twitter 会话调查印度尼西亚消费者对电动汽车的接受程度。研究采用了零镜头基于方面的情感分析(ABSA)方法,该方法可对讨论的方面及其相应的情感进行更精细的分析。研究结果表明,这种方法能有效识别推文中讨论的方面,但其情感分类性能有限。研究还发现了电动汽车采用的关键方面以及 Twitter 上的公众情绪。这些见解可为政府和其他利益相关者提供有价值的指导,帮助他们了解印尼采用电动汽车的相关问题。
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引用次数: 0
Does the transformation of high-tech zones into national innovation demonstration zones promote the urban green total factor productivity? 高新区转型为国家自主创新示范区是否促进了城市绿色全要素生产率的提高?
Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2023.12.002
Zhang Tingting , Xie Jiaping , Xie Jiqing , Liang Ling , Bi Lingling

The plan of "transforming national high-tech zones into national innovation demonstration zones (hereinafter referred to as" NIDZ") launched in 2009 is an attempt to promote high-quality economic development in China. Based on the quasi-natural experiment of transforming national high-tech zones into NIDZ in 2009, this paper collected and sorted out the data of 51 cities where national high-tech zones were located in China from 2002 to 2018. Then we measured urban green total factor productivity by applying the SBM model and investigated the impact of transformation on urban green total factor productivity through the difference in difference (DID) method. The results show that: (1) Urban green total factor productivity has been improved by transforming into a NIDZ, and the results are relatively stable. (2) Mechanism analysis shows that the promotion of urban green total factor productivity by transformation is realized through green technology innovation and industrial agglomeration mechanism. (3)The heterogeneity analysis shows that the policy effects are better in the developed eastern regions and regions with lower levels of government efficiency, and have not been reflected in the less developed central and western regions and regions with higher levels of government efficiency.

2009年启动的 "国家高新区转型国家自主创新示范区(以下简称 "国创区")"计划,是中国推动经济高质量发展的一次尝试。基于 2009 年国家高新区转型为国家自主创新示范区的准自然实验,本文收集整理了 2002 年至 2018 年中国 51 个国家高新区所在城市的数据。然后运用 SBM 模型测算了城市绿色全要素生产率,并通过差分法(DID)研究了转型对城市绿色全要素生产率的影响。结果表明(1)城市绿化全要素生产率在向新发展区转型后得到提高,且结果相对稳定。(2)机理分析表明,转型对城市绿色全要素生产率的提升是通过绿色技术创新和产业集聚机理实现的。(3)异质性分析表明,东部发达地区和政府效率水平较低的地区政策效果较好,而中西部欠发达地区和政府效率水平较高的地区政策效果未得到体现。
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引用次数: 0
Calculation of embodied mercury emissions from international trade: An empirical study from China 国际贸易中体现的汞排放的计算:中国的经验研究
Pub Date : 2024-01-01 DOI: 10.1016/j.susoc.2024.09.001
Yao Qu, Xianhua Wu, Yuanjing Xu, Yiting Wang
How to use the world input-output table to calculate the embodied mercury emissions from international trade is important for the determination of mercury emission sources and targeted reduction of mercury emissions. This paper first discusses the current situation of mercury emissions and the progress of academic research, and introduces the calculation methods and data sources of the world input-output table. Then, China's embodied mercury emissions caused by international trade are calculated using the 2019 world input-output table from the Carbon Emission Accounts and Datasets which includes detailed data for 134 sectors in 235 countries. The main conclusions are as follows: labor-intensive and energy-intensive industries have high embodied mercury emissions due to foreign final consumption demand, with the combined emissions from metal smelting, energy supply, and agriculture accounting for over 80 % of the total embodied mercury emissions. Moreover, the embodied mercury emissions caused by the final consumption demand of the United States, Japan, Germany, India, and South Korea are large, accounting for approximately 40 % of the total emissions.
如何利用世界投入产出表来计算国际贸易中体现的汞排放,对于确定汞排放源和有针对性地减少汞排放具有重要意义。本文首先讨论了汞排放的现状和学术研究的进展,介绍了世界投入产出表的计算方法和数据来源。然后,利用碳排放账户和数据集(Carbon Emission Accounts and Datasets)中的2019年世界投入产出表,计算了中国由国际贸易引起的内含汞排放,该表包含了235个国家134个部门的详细数据。主要结论如下:由于国外最终消费需求,劳动密集型和能源密集型产业的内含汞排放量较高,其中金属冶炼、能源供应和农业的合计排放量占内含汞排放总量的 80% 以上。此外,美国、日本、德国、印度和韩国的最终消费需求造成的体现汞排放量也很大,约占总排放量的 40%。
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引用次数: 0
A Fuzzy Multi-Criteria Model with Pareto Analysis for Prioritizing Sustainable Supply Chain Barriers in the Textile Industry: Evidence from an Emerging Economy 纺织业可持续供应链障碍优先排序的帕累托分析模糊多标准模型:来自新兴经济体的证据
Pub Date : 2023-11-22 DOI: 10.1016/j.susoc.2023.11.002
Mohammad Rafiqur Rashid , Sourav Kumar Ghosh , Md. Fahim Bin Alam , Mohammad Faizur Rahman

The textile industry supply chains (SC) face numerous risks and disruptions due to the changing dynamics of high demand and limited resources. The impact of epidemics and regional conflicts further complicates global business operations, especially in emerging economies. In this context, the textile sector in these economies must prioritize Sustainable Supply Chain Management (SSCM) to achieve cost reduction, enhance productivity, and improve profitability to sustain their business. Although research has examined several SSCM viewpoints, the barriers that prevent emerging economies from adopting SSCM in the textile sector to meet the Sustainable Development Goals (SDGs) are not sufficiently highlighted in the empirical literature that has already been published. This study analyzes different barriers and investigates how they are interconnected. From the literature research, 17 main barriers were first identified in the process. The barriers were then prioritized in order of significance using a combination of fuzzy theory, Pareto analysis, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) framework. Finally, the cause-and-effect relationships among these barriers were established. A lack of commitment from the supplier's top management, insufficient financial incentives, and the absence of supportive government standards and regulations were identified as the three topmost significant barriers to SSCM adoption. For the textile sector, governments, and policymakers in emerging economies, the study's results are helpful since they will assist them create mitigation strategies to get rid of these barriers and achieve long-term sustainability.

由于高需求和资源有限的动态变化,纺织业供应链(SC)面临着众多风险和干扰。流行病和地区冲突的影响使全球业务运营更加复杂,尤其是在新兴经济体。在这种情况下,这些经济体的纺织业必须优先考虑可持续供应链管理 (SSCM),以实现降低成本、提高生产率和盈利能力,从而使其业务得以持续发展。虽然已有研究探讨了 SSCM 的若干观点,但已发表的实证文献并未充分强调阻碍新兴经济体纺织业采用 SSCM 以实现可持续发展目标(SDGs)的障碍。本研究分析了不同的障碍,并探讨了这些障碍之间的相互联系。在文献研究过程中,首先确定了 17 个主要障碍。然后,结合模糊理论、帕累托分析法和决策试验与评估实验室(DEMATEL)框架,对这些障碍的重要性进行了优先排序。最后,确定了这些障碍之间的因果关系。供应商最高管理层缺乏承诺、财政激励不足以及缺乏支持性政府标准和法规被认为是采用 SSCM 的三大主要障碍。对于新兴经济体的纺织行业、政府和政策制定者来说,这项研究的结果很有帮助,因为它们将帮助他们制定缓解策略,以摆脱这些障碍,实现长期的可持续发展。
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引用次数: 0
Efficient algorithms for electric vehicles’ min-max routing problem 电动汽车最小-最大路由问题的高效算法
Pub Date : 2023-07-28 DOI: 10.1016/j.susoc.2023.07.002
Seyed Sajjad Fazeli , Saravanan Venkatachalam , Jonathon M. Smereka

An increase in greenhouse gases emission from the transportation sector has led companies and the government to elevate and support the production of electric vehicles (EV). With recent developments in urbanization and e-commerce, transportation companies are replacing their conventional fleet with EVs to strengthen the efforts for sustainable and environment-friendly operations. However, deploying a fleet of EVs asks for efficient routing and recharging strategies to alleviate their limited range and mitigate the battery degradation rate. In this work, a fleet of electric vehicles is considered for transportation and logistic capabilities with limited battery capacity and scarce charging station availability. We introduce a min-max electric vehicle routing problem (MEVRP) where the maximum distance traveled by any EV is minimized while considering charging stations for recharging. We propose an efficient branch and cut framework and a three-phase hybrid heuristic algorithm that can efficiently solve a variety of instances. Extensive computational results and sensitivity analyses are performed to corroborate the efficiency of the proposed approach, both quantitatively and qualitatively. Finally a data-driven simulation implemented with the robot operating system (ROS) middleware are performed to corroborate the efficiency of the proposed approach, both quantitatively and qualitatively.

运输行业温室气体排放量的增加促使企业和政府大力提倡和支持电动汽车(EV)的生产。随着城市化和电子商务的发展,运输公司正在用电动汽车取代传统车队,以加强可持续发展和环保运营。然而,部署电动汽车车队需要高效的路由和充电策略,以缓解其有限的续航能力并降低电池衰减率。在这项研究中,我们考虑了在电池容量有限和充电站稀缺的情况下,电动汽车车队的运输和物流能力。我们引入了一个最小-最大电动汽车路由问题(MEVRP),即在考虑充电站充电的同时,最大限度地减少任何电动汽车的最大行驶距离。我们提出了一个高效的分支和切割框架以及一个三阶段混合启发式算法,可以高效地解决各种实例。我们进行了大量的计算结果和敏感性分析,从定量和定性两方面证实了所提方法的效率。最后,利用机器人操作系统(ROS)中间件进行了数据驱动模拟,从定量和定性两方面证实了所提方法的效率。
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引用次数: 0
3D printed medical surgical cotton fabric- poly lactic acid biocomposite: A feasibility study 3D打印医用外科用棉织物-聚乳酸生物复合材料的可行性研究
Pub Date : 2023-01-01 DOI: 10.1016/j.susoc.2023.07.001
Mohd Shoeb, Lokesh Kumar, Abid Haleem

Fused Deposition Modeling (FDM) 3D printing is an advanced Additive Manufacturing (AM) method for developing thermoplastic-based parts. Researchers studied FDM-based 3D printing of PLA with whole biomass and biomass resources such as lignin, hemicellulose, and cellulose. These composites are environmentally friendly, sustainable and have wide applications in healthcare. There is scope for developing the 3D printing of biocomposite with medical surgical cotton fabric, where PLA is unique for such manufacturing. The development and characterisation of FDM 3D printed medical surgical cotton fabric- PLA biocomposite is the primary objective of this work. Experimental methods used for the development of biocomposites involve the use of three types of cotton fabric of pore sizes 0.6 mm x 0.6 mm, 0.8 mm x 0.8 mm, and 1.0 mm x 1.0 mm with three different 3D printing pore sizes 0.5 mm x 0.5 mm, 1.0 mm x 1.0 and 1.5 mm x 1.5 mm. The development of biocomposites is found feasible. Breaking strength, percentage extension, and water absorption capacity increased in 3D printing pore sizes and pore wall width for each fabric. The maximum 235.40 N and minimum 123.20 N breaking strength, maximum 2.288 % and minimum 1.506 % extension, and maximum 7.63 % and minimum 3.57 % absorption capacity have been observed for the developed biocomposite. The behaviours of these biocomposites are adequate for healthcare applications and may be used as a bandage in wound healing. The present work is limited to the feasibility study of the unique biocomposite. Analysis of other properties and testing of biocomposite on animals and humans may be carried out in future work.

熔融沉积建模(FDM)3D打印是一种先进的增材制造(AM)方法,用于开发基于热塑性塑料的零件。研究人员研究了基于FDM的PLA三维打印,该打印使用了整个生物质和生物质资源,如木质素、半纤维素和纤维素。这些复合材料环保、可持续,在医疗保健领域有着广泛的应用。用医用外科棉织物开发生物复合材料的3D打印是有空间的,PLA在这种制造中是独一无二的。FDM 3D打印医用外科棉织物-PLA生物复合材料的开发和表征是本工作的主要目标。用于开发生物复合材料的实验方法包括使用孔径为0.6 mm x 0.6 mm、0.8 mm x 0.8 mm和1.0 mm x 1.0 mm的三种棉织物,三种不同的3D打印孔径为0.5 mm x 0.5 mm、1.0 mm x 1.0mm和1.5 mm x 1.5 mm。发现开发生物复合材料是可行的。3D打印孔径和孔壁宽度增加了每种织物的断裂强度、伸长率和吸水能力。所开发的生物复合材料的最大断裂强度为235.40 N,最小断裂强度为123.20 N,最大延伸率为2.288%,最小延伸率为1.506%,最大吸收能力为7.63%,最小吸收能力为3.57%。这些生物复合材料的性能足以用于医疗保健应用,并且可以用作伤口愈合中的绷带。目前的工作仅限于对这种独特的生物复合材料的可行性研究。生物复合材料在动物和人类身上的其他性能分析和测试可能会在未来的工作中进行。
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引用次数: 0
Management 4.0: Concept, applications and advancements 管理4.0:概念、应用和进展
Pub Date : 2023-01-01 DOI: 10.1016/j.susoc.2022.10.002
Abid Haleem , Mohd Javaid , Ravi Pratap Singh , Rajiv Suman , Shahbaz Khan

Management 4.0 assists businesses in evolving, surviving and performing in the competitive and dynamic world. This fourth revolution uses advanced technologies like Artificial Intelligence (AI), Virtual Reality (VR), Internet of Things (IoT), Robotics, Holography, Additive Manufacturing etc., for the proper management systems. These technologies facilitate working personnel and make it more appealing to complete their duties efficiently and accurately. The main aim of this paper is to understand the concept of Management 4.0, its technologies and applications for proper management systems. As Management 4.0 enhances process control, the chance of human error is reduced, leading to increased efficiency. It enables rapid and intelligent decision-making, reduces costs, accelerates growth, and raises profitability. Management 4.0 technologies and advanced data analytics are helpful to make smart supply chain management well suited to fulfil industry 4.0. Thus, to overcome various obstacles and effectively deploy Management 4.0 technologies in manufacturing industries, top management must establish a clear asset performance management plan with the help of process engineers familiar with industrial system failure occurrences and what operators need to improve. Management 4.0 involves advanced technologies, system connectivity, data collection & analysis at the organisation level. Management 4.0 is expected to be a critical component in the long-term survival of any business, either manufacturing or service-providing organisations. This paper explores the development of Management 4.0 and its dimensions and transformations through Management 4.0 perspectives. Finally, the significant role of Management 4.0 for appropriate private management system in manufacturing industries are identified. Organisations require a system that seamlessly meets the company's expectations, consumers, investors, and other stakeholders to remain competitive, and Management 4.0 will enable this. Many businesses strive to integrate technologies and upskill their personnel to adapt to the new job duties and attract more workers with the necessary abilities.

管理4.0帮助企业在充满竞争和活力的世界中发展、生存和表现。这场第四次革命使用了人工智能(AI)、虚拟现实(VR)、物联网(IoT)、机器人、全息、增材制造等先进技术来构建适当的管理系统。这些技术为工作人员提供了便利,并使高效准确地完成职责更具吸引力。本文的主要目的是了解管理4.0的概念、技术及其在适当管理系统中的应用。随着管理4.0增强了过程控制,减少了人为失误的机会,从而提高了效率。它实现了快速而智能的决策,降低了成本,加速了增长,并提高了盈利能力。管理4.0技术和先进的数据分析有助于使智能供应链管理非常适合实现工业4.0。因此,为了克服各种障碍并在制造业中有效部署管理4.0技术,最高管理层必须在熟悉工业系统故障发生情况和运营商需要改进的流程工程师的帮助下,制定明确的资产绩效管理计划。管理4.0涉及先进技术、系统连接、数据收集和管理;组织层面的分析。管理4.0有望成为任何企业长期生存的关键组成部分,无论是制造业还是服务提供组织。本文从管理4.0的角度探讨了管理4.0的发展及其维度和转变。最后,确定了管理4.0对制造业适当的私营管理系统的重要作用。组织需要一个无缝满足公司期望、消费者、投资者和其他利益相关者的系统来保持竞争力,而管理4.0将实现这一点。许多企业努力整合技术,提高员工技能,以适应新的工作职责,吸引更多具有必要能力的员工。
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引用次数: 5
An investigation of the customer baseline load (CBL) calculation for industrial demand response participants –A regional case study from Iran 对工业需求响应参与者的客户基线负荷(CBL)计算的调查——来自伊朗的区域案例研究
Pub Date : 2023-01-01 DOI: 10.1016/j.susoc.2023.03.003
Abolfazl Ghasemi , Merdad Hojjat , Javad Saebi , Hamid Reza Neisaz , Mohammad Reza Hosseinzade

In today's power systems, performing demand response (DR) programs is considered a solution for sustainable operation, carbon reduction, and facilitating renewable energy integration. Currently in Iran, several DR programs are available to industrial customers. Moreover, the design of a market-based DR has recently been considered by the power system operator. In DR programs, customer baseline load (CBL) is used to determine the level of customers’ demand reduction and is key to the billing process; thus, the CBL calculation methodology can directly affect the efficiency of these programs. This paper investigates the current CBL calculation method in Iran's power system and, as its main contribution, proposes some effective methods to reduce the probable incentives for CBL manipulation. In order to show the effectiveness of the methods, a real study case is considered based on the historical load data of the industries in the Khorasan region.

在当今的电力系统中,执行需求响应(DR)计划被认为是可持续运营、减少碳排放和促进可再生能源整合的解决方案。目前在伊朗,有几个DR项目可供工业客户使用。此外,电力系统运营商最近考虑了基于市场的DR的设计。在DR计划中,客户基线负载(CBL)用于确定客户需求减少的水平,是计费过程的关键;因此,CBL的计算方法可以直接影响这些程序的效率。本文研究了伊朗电力系统中当前的CBL计算方法,并提出了一些有效的方法来减少操纵CBL的可能动机,作为其主要贡献。为了证明这些方法的有效性,基于呼罗珊地区工业的历史负荷数据,考虑了一个真实的研究案例。
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引用次数: 0
Emergency traffic distribution and related traffic organization method under natural disasters 自然灾害下应急交通分布及相关交通组织方法
Pub Date : 2023-01-01 DOI: 10.1016/j.susoc.2022.09.001
Xiaogang Ma , Haibo Guo , Xiaodong Tang , Xueying Gao , Xiaoran Wang

The frequent occurrence of natural disasters caused by human activities and environmental pollution has forced people to pay attention to environmental protection. Of course, emergency rescue after natural disasters is also a great component of research. Emergency rescue often generates a large number of emergency evacuation and rescue traffic needs. In the face of scarce road resources, how to allocate limited road resources for emergency traffic needs reasonably to improve the efficiency of emergency rescue has important practical significance. This paper studies the emergency traffic distribution method and the traffic organization method of the emergency traffic network. First, on the basis of the existing traffic distribution method based on Logit model, combined with the characteristics of emergency traffic flow, an emergency multi-path traffic distributed method based on the second modified Logit model is proposed. As well as the emergency lane reversal implementation strategy is proposed according to the actual situation. Finally, an example is proposed to comprehensively verify the emergency traffic distribution method and emergency lane reversal strategy proposed in this paper. The experimental results show that the proposed method can cope with the complex scenarios of multiple emergency traffic flows and is helpful to improve the overall efficiency of emergency traffic flow.

人类活动和环境污染导致的自然灾害频繁发生,迫使人们重视环境保护。当然,自然灾害后的应急救援也是研究的重要组成部分。紧急救援往往会产生大量的紧急疏散和救援交通需求。面对稀缺的道路资源,如何合理配置有限的道路资源用于应急交通需求,提高应急救援效率具有重要的现实意义。本文研究了应急交通网络的应急交通分配方法和交通组织方法。首先,在现有基于Logit模型的交通分配方法的基础上,结合应急交通流的特点,提出了一种基于第二种改进Logit模式的应急多径交通分配方法。并根据实际情况提出了应急车道反转的实施策略。最后,通过实例对本文提出的应急交通分配方法和应急车道反转策略进行了综合验证。实验结果表明,该方法能够应对多种应急交通流的复杂场景,有助于提高应急交通流整体效率。
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引用次数: 0
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