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The purpose of this study is to address the welding demands within large steel structures by presenting a global spatial motion planning algorithm for a mobile manipulator. This algorithm is based on an independently developed wall-climbing robot, which comprises a four-wheeled climbing mobile platform and a six-degree-of-freedom robotic manipulator, ensuring high mobility and operational flexibility.

A convex hull feasible domain constraint is developed for motion planning in the mobile manipulator. For extensive spatial movements, connected sequences of convex polyhedra are established between the composite robot’s initial and target states. The composite robot’s path and obstacle avoidance optimization problem are solved by constraining the control points on B-spline curves. A dynamic spatial constraint rapidlye-xploring random trees-connect (RRTC) motion planning algorithm is proposed for the manipulator, which quickly generates reference paths using spherical spatial constraints at the manipulator’s end, eliminating the need for complex nonconvex constraint modeling.

Experimental results show that the proposed motion planning algorithm achieves optimal paths that meet task constraints, significantly reducing computation times in task conditions and shortening operation times in non-task conditions.

The algorithm proposed in this paper holds certain application value for the realization of automated welding operations within large steel structures using mobile manipulator.

Based on the perspective of knowledge management, this study aims to discuss how to build cross-city emergency management collaboration mechanism in major emergencies and explore the important role of knowledge management in emergency management collaboration.

Based on the theoretical analysis of knowledge management and the typical case study of cross-city emergency management collaborative rescue, this study provides an in-depth analysis of how these cities achieve high emergency management performance through multidimensional and multilevel knowledge collaboration, thus revealing the mechanism of knowledge transfer, integration and sharing in achieving high emergency management performance.

Through analyzing typical cases, this study finds that building a smooth mechanism for multichannel emergency rescue information can promote the diversification of knowledge transfer methods, building a platform-based integration mechanism for emergency rescue information can enhance knowledge integration capabilities and building a linkage mechanism for emergency rescue materials between cities can promote knowledge-sharing level, thereby improving emergency management performance level.

This study has great significance for how to build cross-city emergency management collaboration mechanism in the digital era. In the future, the authors need to further discuss the following two aspects in depth: research on the impact of cross-city emergency management collaboration mechanism on improving the knowledge management capabilities of government emergency management departments; and research on the impact mechanism of knowledge management capabilities on city resilience.

Through case analysis of cross-city emergency management collaborative rescue for major emergencies in China in recent years, this study proposes three specific strategies for cross-city emergency management (smooth, integration and linkage mechanisms) and reveals that these three strategies are essentially aimed at improving the government’s knowledge management level.

Despite smart construction technology's great potential to improve the productivity of the architectural, engineering and construction (AEC) industry, the implementation of smart construction technology has failed to achieve the expected benefits due to the negative usage behaviors of construction enterprise employees. This study aims to identify the determinants and their configuration effects on the smart construction technology usage behavior (SCTUB) based on the Technology-Organization-Environment (TOE) framework. This study then verifies the practical paths to improve the employee's SCTUB from the configuration perspective.

A mixed-method approach involving survey and qualitative comparative analysis (QCA) is conducted in this study. Based on the detailed literature review and semi-structured interview, this study identifies the factors and proposes the TOE framework to determine the configuration conditions affecting employee's SCTUB and verify practical paths to promote this user behavior.

The TOE framework's technical, organizational and environmental elements are interdependent. The emergence of a high SCTUB is not determined by a single determinant but by configuration conditions. Four equifinal conditions (e.g. organization-technology type, technology-organization type, environment type and organization-technology balanced type) are verified to promote construction enterprise employee's SCTUB.

The four verified configuration conditions could guide construction enterprises to formulate complementary strategies for promoting the construction enterprises' employees to implement smart construction technology and achieve the enterprise's digital transformation.

The inter-dependence of the three-dimension factors, namely technical, organizational and environmental elements are explored to enrich the literature on the TOE framework. Meanwhile, the configuration effects of these factors on usage behavior are identified, expanding the literature on the information technology acceptance model.

Prefabricated building projects (PBPs) require multiple stakeholder collaboration due to the strong linkages between the design, production and installment of the precast components. Current contractual governance fails to foster a trusting environment for stakeholder collaboration, leading to conflicts of interest, cost overrun and delays in project schedules. Previous studies revealed that terminating shortcomings in contractual governance can be mitigated by implementing relational governance mechanisms. This study aims to explore the configurational effects of contractual and relational governance mechanisms on stakeholder collaboration in PBPs and identifies the practical configurational conditions to achieve high stakeholder collaboration.

Data were collected from 39 experts through semi-structured interviews and analyzed to explore the configuration effects on stakeholder collaboration in PBPs through fuzzy-set qualitative comparative analysis (fsQCA).

Our study reveals that stakeholder collaboration requires configurational conditions of multiple governance elements (i.e. historical working experience and risk-sharing, reward, selection, authorization, trust, commitment and communication mechanisms). Four equivalent configurational strategies were identified for achieving high stakeholder collaboration in PBPs. These included three configurational strategies dominated by relational governance mechanisms and one configurational strategy complementary to contractual and relational governance mechanisms. The configurations dominated by relational governance mechanisms were developed with communication mechanisms and historical working experiences as core conditions; the configurational strategy with complementary contractual and relational governance mechanisms was centered on risk-sharing, reward and trust mechanisms as core conditions.

Our study enriches the literature on the antecedents of stakeholder collaboration in the PBPs by testing the significance of the relational governance mechanism, which expands the implications of relational contract theory. It also expands the implications of stakeholder theory in PBPs by exploring the asymmetric causal relationship between project contractual governance and stakeholder collaboration. Meanwhile, this study recommends countermeasures for managers to improve stakeholder collaboration by providing four practical configurational conditions in PBPs.

Limited use of Internet of Things (IoT) technology on construction sites has restricted its value in the construction industry. To propel its widespread application, this paper explores the influencing factors and action paths of construction companies' IoT technology adoption behavior.

First, literature research, technology adoption theories, and semi-structured expert interviews were employed to build the adoption model. Second, a questionnaire survey was conducted among Chinese construction contractors to collect empirical data. Third, the structural equation model method and regression analysis were used to test the adoption model. Finally, the findings were further validated with interviews, case studies, and field observations.

External environmental pressure (EEP), perceived benefit (PB), top management support (TMS), company resource readiness (CRR), adoption intention (AI), and perceived compatibility (PCA) have a direct positive impact on adoption behavior (AB). In contrast, perceived cost (PC) and perceived complexity (PCL) exert a direct negative impact on AB. The EEP, PB, and PC are critical factors affecting AB, whereas AI is strongly affected by CRR and TMS. Besides, AI plays a part mediating role in the relationship between seven factors and AB. Company size and nature positively moderate AI's positive effect on AB.

This paper contributes to the knowledge of IoT technology adoption behavior in the construction sector by applying the technology adoption theories. Exploring the implementation barriers and drivers of IoT technology in construction sites from the perspective of organizational technology adoption behavior and introducing moderating variables to explain adoption behavior are innovations of this paper. The findings can help professionals better understand the IoT technology adoption barriers and enhance construction companies' adoption awareness, demand, and ability. This work also provides a reference for understanding the impact mechanism of the adoption behavior of other innovative technologies in construction.

This paper aims to design a novel hybrid terrestrial-aerial robot, FlyingDog, including its modeling and implementation. By combining the complementary advantages of a quadrotor drone and a quadruped robot, FlyingDog demonstrates excellent maneuverability and high energy efficiency, showcasing great potential for applications in industrial inspection, field exploration, and search and rescue operations.

By integrating propellers and leg mechanisms, FlyingDog achieves hybrid motion, encompassing both aerial flight and ground movement. This paper first provides an overview of the robot’s structural design, emphasizing the minimization of interactions between the aerial and ground mechanisms while balancing the thrust-to-weight ratio and payload capacity. A distributed control framework is then proposed to achieve the hybrid motion, alongside the development of corresponding control strategies to ensure stability during various movements.

Experiments conducted in real-world conditions validated FlyingDog’s performance in terms of motion stability, energy efficiency, and obstacle-crossing ability. The results demonstrate that FlyingDog exhibits outstanding mobility by combining ground locomotion with aerial flight capabilities, allowing it to overcome challenging obstacles in purely ground-based mode. In ground mode, the robot achieved an energy efficiency of up to 93.5%.

The hybrid terrestrial-aerial robot presented in this paper features stable land and aerial mobility, a lightweight structure, high energy efficiency, and low manufacturing costs, making it a valuable innovation in the field of robotics.

The digital content distribution environment is undergoing a dramatic transformation due to the convergence of internet of things (IoT) and over-the-top (OTT) platforms, which provide users with personalised and immersive experiences. OTT streaming platforms have not only grabbed the attention of customers for entertainment and quality content for binge-watch but also successfully changed the industry market trends. An empirical analysis of the deployment of IoT technology in OTT platforms is presented in this chapter. This chapter tries to explore the perception of viewers towards adoption of IoT in OTT streaming platforms. The unified theory of acceptance and use of technology-2 (UTAUT2) model is the main framework for this chapter, and one-way analysis of variance (ANOVA) and stepwise regression is applied to analyse the responses. Findings suggested the consumer characteristics have significant effect on the attitude of the consumers. On the other hand, security and privacy issues with data become major obstacles. In order to balance innovation and user protection, the study concluded with recommendations for OTT service providers and legislators on how to support the responsible and successful implementation of IoT technology in the media and entertainment sector. The findings highlighted that viewers are adopting IoT while streaming OTT platforms. This chapter will help the interested parties and organisations by providing them insights regarding consumer behaviour across OTT services which they can utilise to formulate strategies.

This chapter critically explores the transformative role of Artificial Intelligence (AI) in higher education, highlighting both the opportunities it presents and the challenges it imposes. Focused on pedagogical enhancement, it details how AI-driven adaptive learning systems, tutors, and curriculum adjustments contribute to personalized education. It further examines AI's efficiency in streamlining administrative tasks, like enrollment and support services, while addressing significant ethical concerns, including data privacy and algorithmic bias. Moreover, the impact of AI on research and development is discussed, showcasing its potential to revolutionize scientific discovery through advanced data analysis. A strategic framework is proposed for stakeholders to effectively navigate AI integration and digital transformation, emphasizing a balanced approach that prioritizes innovation, ethical considerations, and quality in the digital era of higher education.

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.

The construction industry accounts for a large proportion of the economy of developing countries, but the connotation and influencing factors of high-quality development (HQD) are still unclear. This study aims to gain a more comprehensive insight into the current development status of the regional construction industry under China's HQD orientation and the obstructive factors affecting its development and to provide informative suggestions for its HQD prospects.

In this study, the construction industry of 16 cities in the Chengdu-Chongqing economic circle (CCEC), a new region in southwest China, was used as the research object to collect data from the 2006–2019 yearbooks, construct an evaluation index system for HQD of the construction industry, derive the development level of the construction industry using the entropy value method and spatial autocorrelation method and then apply the barrier Diagnostic model was used to compare and analyze the impact level of each index.

In terms of the time dimension, the development of the construction industry in CCEC is characterized by “high in the twin core and low in the surrounding area”, with unbalanced and insufficient development; in terms of spatial correlation, some factors have positive aggregation in spatial distribution, but the peripheral linkage decreases; through barrier analysis, the impact of different barrier factors is different.

This paper will help governments and enterprises in developing countries to make urban planning and management policies to fundamentally improve the development of the construction industry in underdeveloped regions.