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Expanding the research on traditional history of economic ideology into the research on the history of economics composed of three elements – history of ideology, history of policies and events – is a new idea for researching the history of socialist political economy with Chinese characteristics. The start of the history of socialist political economy with Chinese characteristics is consistent with that of the Sinicization of Marxist political economy and can be dated from at least 1917.

The key point of the research on the history of ideologies of the socialist political economy with Chinese characteristics is to treat the relationship between theory and people properly, i.e. we should not neglect the effect brought out by the economists on theory construction while we attach importance to the theoretical contribution of the leaders and leading group of the Communist Party of China (CPC).

For the research on the history of economic policies of socialist political economy with Chinese characteristics, on the one hand, we should clarify the relationship among ideologies, strategies and policies; on the other hand, we should not evade the summarization of lessons from history.

Besides presenting the development route of socialist political economy with Chinese characteristics under competition, the research on the events in the history of socialist political economy with Chinese characteristics should also help develop the socialist political economy with Chinese characteristics.

This study aims to present a comprehensive knowledge mapping and an in-depth analysis of plastic and sustainability research to understand better global trends and directions in this field that emerged between 1995 and 2022.

This study presents a visual analysis of 1933 research articles listed in the Web of Science (WoS) databases between the years 1995 and 2022 related to plastic and sustainability. The knowledge mapping based on CiteSpace and VOSviewer presents the current research status, which contains the analysis of the collaboration network, co-citation network, references with citation bursts and keyword analysis.

The results reveal that China and the USA are the most prominent countries in exploring the notion of sustainability and plastic. The Chinese Academy of Science is the most prominent institution. Chai Qiang, Friedrich Daniel, Sahajwalla Veena and Ok Yong Sik are the most prolific authors in this field. Furthermore, circular economy, bioplastic, sustainable development, polyester and bioplastics are the highly discussed issues in recent years. Not surprisingly, COVID-19 is the latest topic of discussion started in 2021 due to its negative impact on plastic pollution and the challenges it posed to sustainability.

This study is among the pioneers to shed light on the current research status of plastic and sustainability using the bibliometric method and the newest data. This study also suggests that collaborations between scholars and institutions require to be enhanced for better management of plastic pollution and to contribute to sustainable development.

Efficient traffic incident management is needed to alleviate the negative impact of traffic incidents. Accurate and reliable estimation of traffic incident duration is of great importance for traffic incident management. Previous studies have proposed models for traffic incident duration prediction; however, most of these studies focus on the total duration and could not update prediction results in real-time. From a traveler’s perspective, the relevant factor is the residual duration of the impact of the traffic incident. Besides, few (if any) studies have used dynamic traffic flow parameters in the prediction models. This paper aims to propose a framework to fill these gaps.

This paper proposes a framework based on the multi-layer perception (MLP) and long short-term memory (LSTM) model. The proposed methodology integrates traffic incident-related factors and real-time traffic flow parameters to predict the residual traffic incident duration. To validate the effectiveness of the framework, traffic incident data and traffic flow data from Shanghai Zhonghuan Expressway are used for modeling training and testing.

Results show that the model with 30-min time window and taking both traffic volume and speed as inputs performed best. The area under the curve values exceed 0.85 and the prediction accuracies exceed 0.75. These indicators demonstrated that the model is appropriate for this study context. The model provides new insights into traffic incident duration prediction.

The incident samples applied by this study might not be enough and the variables are not abundant. The number of injuries and casualties, more detailed description of the incident location and other variables are expected to be used to characterize the traffic incident comprehensively. The framework needs to be further validated through a sufficiently large number of variables and locations.

The framework can help reduce the impacts of incidents on the safety of efficiency of road traffic once implemented in intelligent transport system and traffic management systems in future practical applications.

This study uses two artificial neural network methods, MLP and LSTM, to establish a framework aiming at providing accurate and time-efficient information on traffic incident duration in the future for transportation operators and travelers. This study will contribute to the deployment of emergency management and urban traffic navigation planning.

This paper aims to provide a comprehensive analysis of the strategic adjustments in China's transportation structure, with a particular focus on the pivotal role of railway freight and its integration into the modern logistics system. It seeks to address the need for a more nuanced understanding of the “road to rail” policy, emphasizing the importance of intermodal collaboration and service of fragmented market demands.

The study employs a transport economics perspective to evaluate the achievements and shortcomings of China's transportation structure optimization. It bases its assessment of the current state of railway freight logistics, multi-modal transportation and the broader implications for the transportation service market on data analysis. The methodology includes a review of existing policies, an examination of industry practices and a comparative analysis with global trends in railway logistics.

The research underscores the importance of focusing on the development of non-bulk materials, noting the insufficiency in the development of China's rail multi-modal transportation and highlighting the instructive value of successful cases in open-top container road-rail intermodal transportation. The study posits that the railway sector must enhance cooperation with other market entities, aligning with the lead enterprises in the logistics chain that are characterized by speed, high value and strong coordination capabilities, in order to better serve the transportation market. This approach moves away from a reliance on the railway's own capabilities alone.

This paper offers original insights into the transformation of railway freight in China, contributing to the body of knowledge on transportation economics and logistics. It provides valuable recommendations for policymakers and industry practitioners, emphasizing the strategic importance of railway logistics in the context of China's economic development and intense competition in the supply chain. The value of the article lies in its comprehensive understanding of the complexities involved in the adjustment of transportation structures, providing direction for the market-oriented reform of China's railway freight sector.

Global climate change is a serious threat to the survival and development of mankind. Reducing carbon emissions and achieving carbon neutrality are the keys to reducing greenhouse gas emissions and promoting sustainable human development. For many countries, taking China as an example, the electric power sector is the main contributor to the country’s carbon emissions, as well as a key sector for reducing carbon emissions and achieving carbon neutrality. The low-carbon transition of the power sector is of great significance to the long-term low-carbon development of the economy. Therefore, on the one hand, it is necessary to improve the energy supply structure on the supply side and increase the proportion of new energy in the total power supply. On the other hand, it is necessary to improve energy utilization efficiency on the demand side and control the total primary energy consumption by improving energy efficiency, which is the most direct and effective way to reduce emissions. Improving the utilization efficiency of electric energy and realizing the low-carbon transition of the electric power industry requires synergies between the government and the market. The purpose of this study is to investigate the individual and synergistic effects of China’s low-carbon policy and the opening of urban high-speed railways (HSRs) on the urban electricity consumption efficiency, measured as electricity consumption per unit of gross domestic product (GDP).

This study uses a panel of 289 Chinese prefecture-level cities from the years 1999–2019 as the sample and uses the time-varying difference-in-difference method to test the relationship between HSR, low-carbon pilot cities and urban electricity consumption efficiency. In addition, the instrumental variable method is adopted to make a robustness check.

Empirical results show that the low-carbon pilot policy and the HSR operation in cities would reduce the energy consumption per unit of GDP, and synergies occur in both HSR operated and low-carbon pilot cities.

This study has limitations that would provide possible starting points for future studies. The first limitation is the choice of the proxy variable of government and market factors. The second limitation is that the existing data is only about whether the high-speed rail is opened or not and whether it is a low-carbon pilot city, and there is no more informative data to combine the two aspects.

The findings of this study can inform policymakers and regulators about the effects of low-carbon pilot city policies. In addition, the government should consider market-level factors in addition to policy factors. Only by combining various influencing factors can the efficient use of energy be more effectively achieved so as to achieve the goal of carbon neutrality.

From the social perspective, the findings indicate that improving energy utilization is dependent on the joint efforts of the government and market.

The study provides quantitative evidence to assess the synergic effect between government and the market in the low-carbon transition of the electric power industry. Particularly, to the best of the authors’ knowledge, it is the first to comprehend the role of the city low-carbon pilot policy and the construction of HSR in improving electricity efficiency.

This study investigates the applications of computer vision (CV) technology in the tourism sector to predict visitors' facial and emotion detection, augmented reality (AR) visitor engagements, destination crowd management and sustainable tourism practices.

This study employed a systematic literature review, following the Preferred Reporting Items for Systematic reviews and Meta-Analyses methodology and bibliometric study on research articles related to the tourism sector. In total, 407 articles from the year, 2013 to 2024, all indexed in Scopus, were screened. However, only 150 relevant ones on CV in Tourism were selected based on the following criteria: academic journal publication, English language, empirical evidence provision and publication up to 2024.

The findings reveal a burgeoning interest in utilizing CV in tourism, highlighting its potential for crowd management and personalized experience. However, ethical concerns surrounding facial recognition and integration challenges need addressing. AR enhances engagement, but ethical and accessibility issues persist. Image processing aids sustainability efforts but requires precision and integration for effectiveness.

The study’s originality lies in its thorough examination of CV’s role in tourism, covering facial recognition, crowd insights, AR and image processing for sustainability. It addresses ethical concerns and proposes advancements for a more responsible and sustainable tourist experience, offering novel insights for industry development.

This systematic literature review focuses on the following future advanced information and communication technologies (ICTs) applied in the maritime transport of cargo: Internet of Things (IoT), big data, cloud computing and autonomous ships/vessels (including unmanned ships/vessels). The review question is: “RQ: In what context and by means of what mechanism does the implementation of future advanced ICTs have disruptive impact on maritime transport?”.

The paper complies with the methodological requirements of systematic reviews. The information analysis and synthesis are based on the CIMO logic, referring to the context (C), intervention (I), mechanism (M) and outcome (O) of the implementation of future advanced ICTs in maritime transport.

The review identifies the contextual factors and components of the mechanism that lead to the disruptive impact of different types of future advanced ICT interventions on maritime transport.

The review approaches only the most important future advanced ICTs that will disrupt maritime transport.

The maritime transport organizations should consider: intended outcome as intervention trigger; increased efficiency and responsiveness; benchmarking.

For the first time, the CIMO logic is applied in a systematic review focused on future advanced ICTs in maritime transport. The CIMO-DMT model is elaborated as a basis for further research. Ten directions of study are recommended in a future research agenda.

Recent studies on commuter parking in an age of fully autonomous vehicles (FAVs) suggest, that the number of parking spaces close to the workplace demanded by commuters will decline because of the capability of FAVs to return home, to seek out (free) parking elsewhere or just cruise. This would be good news because, as of today, parking is one of the largest consumers of urban land and is associated with substantial costs to society. None of the studies, however, is concerned with the special case of employer-provided parking, although workplace parking is a widespread phenomenon and, in many instances, the dominant form of commuter parking. The purpose of this paper is to analyze whether commuter parking will decline with the advent of self-driving cars when parking is provided by the employer.

This study looks at commuter parking from the perspective of both the employer and the employee because in the case of employer-provided parking, the firm’s decision to offer a parking space and the incentive of employees to accept that offer are closely interrelated because of the fringe benefit character of workplace parking. This study develops an economic equilibrium model that explicitly maps the employer–employee relationship, considering the treatment of parking provision and parking policy in the income tax code and accounting for adverse effects from commuting, parking and public transit. This study determines the market level of employer-provided parking in the absence and presence of FAVs and identifies the factors that drive the difference. This study then approximates the magnitude of each factor, relying on recent (first) empirical evidence on the impacts of FAVs.

This paper’s analysis suggests that as long as distortive (tax) policy favors employer-provided parking, FAVs are no guarantee to end up with less commuter parking.

This study’s findings imply that in a world of self-driving cars, policy intervention related to work commuting (e.g. fringe benefit taxation or transport pricing) might be even more warranted than today.

This study aims to explore the development of trust in relation to security and privacy concerns, as well as the influence of perceived risk on the intention to use e-wallets. The research focused on the Colombian context because of its characterization as an underdeveloped financial system that has experienced considerable security and privacy violations in recent years. Additionally, this geographical area is relatively under-researched, and the target demographic for this investigation was Generation Z, given their pivotal role in driving the adoption of e-wallets.

Based on measurement scales that had already been tested in the academic literature on mobile payment systems, a questionnaire was developed and distributed electronically. A total of 424 responses were obtained from young Colombians. Structural equation modeling (SEM), specifically the PLS-SEM method, was used to process the data to study the explanatory and predictive power of the proposed model.

The findings revealed that security and privacy have a positive and significant effect on perceived trust, and that this at the same time has a positive and significant effect on attitude, perceived usefulness, perceived ease and intention to use, as well as a significant but negative effect on perceived risk. On the other hand, perceived risk showed an inverse, but not significant, relationship with intention to use.

This research explored the adoption of e-wallets by young people in Colombia, which has been widely claimed in the academic literature. In a turbulent context with a high distrust of financial institutions, as well as a change in digital money consumption patterns, it is critical to understand the factors that contribute to the adoption of mobile payment services. The findings, in addition to contributing to the academic debate, have important implications for e-wallet providers, as they offer information that allows designing strategies to attract and keep current and potential users. At the same time, the recommendations by the authors allow the design of tools, especially related to security and privacy, to improve their trust and build loyalty, thus contributing to the consolidation and development of the mobile payment system.

Este estudio explora el desarrollo de la confianza en relación con las preocupaciones sobre seguridad y privacidad, así como la influencia del riesgo percibido en la intención de utilizar monederos electrónicos. La investigación se centró en el contexto colombiano debido a su caracterización como un sistema financiero subdesarrollado que ha experimentado violaciones considerables de seguridad y privacidad en los últimos años. Además, esta área geográfica está relativamente poco investigada, y el público objetivo de esta investigación fue la Generación Z, dado su papel clave en la adopción de monederos electrónicos.

Basado en escalas de medición ya probadas en la literatura académica sobre sistemas de pago móvil, se desarrolló y distribuyó electrónicamente un cuestionario. Se obtuvieron un total de 424 respuestas de jóvenes colombianos. Se utilizó el modelado de ecuaciones estructurales, específicamente el método PLS-SEM, para procesar los datos y estudiar el poder explicativo y predictivo del modelo propuesto.

Nuestros hallazgos revelaron que la seguridad y la privacidad tienen un efecto positivo y significativo en la confianza percibida, y que esto, a su vez, tiene un efecto positivo y significativo en la actitud, la utilidad percibida, la facilidad percibida y la intención de uso, así como un efecto significativo pero negativo en el riesgo percibido. Por otro lado, el riesgo percibido mostró una relación inversa, pero no significativa, con la intención de uso.

Esta investigación exploró la adopción de monederos electrónicos por parte de los jóvenes en Colombia, un tema ampliamente mencionado en la literatura académica. En un contexto turbulento con alta desconfianza hacia las instituciones financieras, así como un cambio en los patrones de consumo de dinero digital, es crucial comprender los factores que contribuyen a la adopción de servicios de pago móvil. Nuestros hallazgos, además de contribuir al debate académico, tienen importantes implicaciones para los proveedores de monederos electrónicos, ya que ofrecen información que permite diseñar estrategias para atraer y retener a usuarios actuales y potenciales. Al mismo tiempo, nuestras recomendaciones permiten diseñar herramientas, especialmente relacionadas con la seguridad y la privacidad, para mejorar la confianza y fomentar la lealtad, contribuyendo así a la consolidación y desarrollo del sistema de pago móvil.

本研究探讨了与安全性和隐私问题相关的信任发展, 以及感知风险对使用电子钱包意图的影响。研究集中在哥伦比亚的背景下, 因为该国的金融系统被认为是欠发达的, 近年来经历了相当大的安全性和隐私侵犯问题。此外, 这一地理区域的研究相对较少, 本研究的目标人群为Z世代, 考虑到他们在推动电子钱包采纳中的关键作用。

基于已经在移动支付系统学术文献中测试过的测量尺度, 开发并电子分发了一份问卷。共获得了424份哥伦比亚年轻人的回应。使用结构方程建模中的PLS-SEM方法处理数据, 以研究所提出模型的解释力和预测力。

研究发现, 安全性和隐私对感知信任有显著正向影响, 同时, 感知信任对态度、感知有用性、感知易用性和使用意图也有显著正向影响, 并对感知风险有显著负向影响。另一方面, 感知风险与使用意图之间呈现出反向但不显著的关系。

本研究探讨了哥伦比亚年轻人对电子钱包的采纳, 这在学术文献中已有广泛讨论。在一个对金融机构高度不信任的动荡背景下, 以及数字货币消费模式的变化中, 理解促使移动支付服务采纳的因素至关重要。我们的研究结果不仅有助于学术讨论, 还对电子钱包提供商具有重要意义, 因为这些结果提供了信息, 有助于设计吸引和留住当前及潜在用户的策略。同时, 我们的建议有助于设计特别与安全性和隐私相关的工具, 以提高用户信任并建立忠诚度, 从而促进移动支付系统的巩固和发展。