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Book part
Publication date: 7 December 2016

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The World Meets Asian Tourists
Type: Book
ISBN: 978-1-78560-219-1

Available. Open Access. Open Access
Article
Publication date: 19 June 2023

Fang Wen, Yun Bai, Xin Zhang, Yao Chen and Ninghai Li

This study aims to improve the passenger accessibility of passenger demands in the end-of-operation period.

403

Abstract

Purpose

This study aims to improve the passenger accessibility of passenger demands in the end-of-operation period.

Design/methodology/approach

A mixed integer nonlinear programming model for last train timetable optimization of the metro was proposed considering the constraints such as the maximum headway, the minimum headway and the latest end-of-operation time. The objective of the model is to maximize the number of reachable passengers in the end-of-operation period. A solution method based on a preset train service is proposed, which significantly reduces the variables of deciding train services in the original model and reformulates it into a mixed integer linear programming model.

Findings

The results of the case study of Wuhan Metro show that the solution method can obtain high-quality solutions in a shorter time; and the shorter the time interval of passenger flow data, the more obvious the advantage of solution speed; after optimization, the number of passengers reaching the destination among the passengers who need to take the last train during the end-of-operation period can be increased by 10%.

Originality/value

Existing research results only consider the passengers who take the last train. Compared with previous research, considering the overall passenger demand during the end-of-operation period can make more passengers arrive at their destination. Appropriately delaying the end-of-operation time can increase the proportion of passengers who can reach the destination in the metro network, but due to the decrease in passenger demand, postponing the end-of-operation time has a bottleneck in increasing the proportion of passengers who can reach the destination.

Available. Open Access. Open Access
Article
Publication date: 13 September 2023

Siyao Li, Bo Yuan, Yun Bai and Jianfeng Liu

To address the problem that the current train operation mode that train selects one of several offline pre-generated control schemes before the departure and operates following…

416

Abstract

Purpose

To address the problem that the current train operation mode that train selects one of several offline pre-generated control schemes before the departure and operates following the scheme after the departure, energy-saving performance of the whole metro system cannot be guaranteed.

Design/methodology/approach

A cooperative train control framework is formulated to regulate a novel train operation mode. The classic train four-phase control strategy is improved for generating specific energy-efficient control schemes for each train. An improved brute force (BF) algorithm with a two-layer searching idea is designed to solve the optimisation model of energy-efficient train control schemes.

Findings

Case studies on the actual metro line in Guangzhou, China verify the effectiveness of the proposed train control methods compared with four-phase control strategy under different kinds of train operation scenarios and calculation parameters. The verification on the computation efficiency as well as accuracy of the proposed algorithm indicates that it meets the requirement of online optimisation.

Originality/value

Most existing studies optimised energy-efficient train timetable or train control strategies through an offline process, which has a defect in coping with the disturbance or delays effectively and promptly during real-time train operation. This paper studies an online optimisation of cooperative train control based on the rolling optimisation idea, where energy-efficient train operation can be realised once train running time is determined, thus mitigating the impact of unpredictable operation situations on the energy-saving performance of trains.

Details

Railway Sciences, vol. 2 no. 3
Type: Research Article
ISSN: 2755-0907

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Book part
Publication date: 17 September 2020

Abstract

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Sustainable Entrepreneurship: How Entrepreneurs Create Value from Sustainable Opportunities
Type: Book
ISBN: 978-1-80043-147-8

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Book part
Publication date: 12 February 2024

Lerato Aghimien, Clinton Ohis Aigbavboa and Douglas Aghimien

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less…

Abstract

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

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Construction Workforce Management in the Fourth Industrial Revolution Era
Type: Book
ISBN: 978-1-83797-019-3

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Book part
Publication date: 16 September 2022

Miftachul Huda and Sultan Salem

The family time is being an important element in assisting to empower the mutual feeling in connecting both love and compassion among the family members. The copying initiative to…

Abstract

The family time is being an important element in assisting to empower the mutual feeling in connecting both love and compassion among the family members. The copying initiative to spend the quality time with family is supposed to embed the feeling of security, the family values with confidence, in order to strengthen the social intelligence. However, due to the pandemic age with its outstanding challenges on being less socially connected, the more affection as the real impact toward the reduction on social interaction requires the attempts to restore the process with the sufficient link between emotional and social intelligence. The aim of this chapter attempts to examine the family quality time maintenance for children’s social intelligence in order to fully comprehend the strategic way of particular issue identification in affecting the children, by the suggested proper solution amidst the pandemic age. The empirical data from the qualitative interview among 12 public educators were employed by exploring their beliefs and practices in maintaining the family time quality for their children social intelligence support. The finding of this chapter reveals that there are three aspects of maintaining the family time for children’s social intelligence support, consisting of the technical skills to improve the family relationships, the communication on the feelings to care for being close relationships and emotional intimacy to advance the family contact in broadening the comfortable spend of time with emotional integrity and openness. The value of this chapter is to give an insightful value on the knowledge enrichment about the strategic maintenance of family time quality for children’s social intelligence. Offering the understandable suggestion together with an effective method to bring the family time into being closer is supposed to lead to the emotional intelligence among the peer-family members, mainly parent–children relationship amidst the pandemic age.

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Book part
Publication date: 20 September 2018

Stephen B. Gilbert, Michael C. Dorneich, Jamiahus Walton and Eliot Winer

This chapter describes five disciplinary domains of research or lenses that contribute to the design of a team tutor. We focus on four significant challenges in developing…

Abstract

This chapter describes five disciplinary domains of research or lenses that contribute to the design of a team tutor. We focus on four significant challenges in developing Intelligent Team Tutoring Systems (ITTSs), and explore how the five lenses can offer guidance for these challenges. The four challenges arise in the design of team member interactions, performance metrics and skill development, feedback, and tutor authoring. The five lenses or research domains that we apply to these four challenges are Tutor Engineering, Learning Sciences, Science of Teams, Data Analyst, and Human–Computer Interaction. This matrix of applications from each perspective offers a framework to guide designers in creating ITTSs.

Details

Building Intelligent Tutoring Systems for Teams
Type: Book
ISBN: 978-1-78754-474-1

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Book part
Publication date: 2 December 2024

Arjun J. Nair, Sridhar Manohar, Amit Mittal and Rishi Chaudhry

This chapter adopts a historiographical methodology, meticulously retracing the lineage of Augmented Reality (AR) from the 16th century and scrutinizing the conceptual genesis of…

Abstract

This chapter adopts a historiographical methodology, meticulously retracing the lineage of Augmented Reality (AR) from the 16th century and scrutinizing the conceptual genesis of Virtual Reality (VR) in the mid-20th century. It rigorously scrutinizes the fundamental principles and applications of AR and VR, extending the discourse to encompass the foundational tenets and ramifications of the burgeoning Metaverse. Thoroughly examining ethical considerations and challenges, there is an emphasis on perpetuating research, judicious implementation, and establishing ethical frameworks. Elucidating the profound ramifications of AR on sundry industries, the transformative potential of VR in crafting immersive environments, and the emergent interconnected virtual realm of the Metaverse, key principles such as spatial mapping, interaction modalities, and cross-platform interoperability are accentuated. Ethical challenges inherent in Metaverse development, notably digital identity, and privacy are identified. The narrative steadfastly underscores the significance of perpetuated research and ethical considerations in steering the evolutionary trajectory of avant-garde technologies. The findings hold far-reaching implications for diverse sectors, encompassing navigation, marketing, healthcare, architecture, education, and entertainment. The Metaverse’s potential to reconfigure digital experiences ubiquitously and its consequential impact on privacy and content moderation accentuate the exigency for circumspect consideration in development and implementation. This chapter fervently advocates for responsible usage and the facilitation of equitable access. This chapter contributes to the scholarly corpus by synthesizing historical perspectives, core principles, and ethical considerations across the domains of AR, VR, and the Metaverse. The unique emphasis on sustained research endeavors and the establishment of ethical frameworks adds distinctive insights, thereby guiding the sagacious evolution of these paradigm-shifting technologies.

Details

The Metaverse Dilemma: Challenges and Opportunities for Business and Society
Type: Book
ISBN: 978-1-83797-525-9

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Article
Publication date: 15 March 2018

Anna Katarzyna Dabrowska

The purpose of this paper is to develop artificial neural networks (ANNs) allowing us to simulate the local thermal insulation of clothing protecting against cold on a basis of…

221

Abstract

Purpose

The purpose of this paper is to develop artificial neural networks (ANNs) allowing us to simulate the local thermal insulation of clothing protecting against cold on a basis of the characteristics of materials and design solutions used.

Design/methodology/approach

For this purpose, laboratory tests of thermal insulation of clothing protecting against cold as well as thermal resistance of textile systems used in the clothing were performed. These tests were conducted with a use of thermal manikin and so-called skin model, respectively. On a basis of results gathered, 12 ANNs were developed that correspond to each thermal manikin’s segment besides hands and feet which are not covered by protective clothing.

Findings

In order to obtain high level of simulations, optimization measures for the developed ANNs were introduced. Finally, conducted validation indicated a very high correlation (above 0.95) between theoretical and experimental results, as well as a low error of the simulations (max 8 percent).

Originality/value

The literature reports addressing the problem of modeling thermal insulation of clothing focus mainly on the impact of the degree of fit and the velocity of air movement on thermal insulation properties, whereas reports dedicated to modeling the impact of the construction of clothing protecting against cold as well as of diverse material systems used within one design of clothing on its thermal insulation are scarce.

Details

International Journal of Clothing Science and Technology, vol. 30 no. 1
Type: Research Article
ISSN: 0955-6222

Keywords

Available. Open Access. Open Access
Article
Publication date: 14 March 2024

Chongjun Wu, Yutian Chen, Xinyi Wei, Junhao Xu and Dongliu Li

This paper is devoted to prepare micro-cone structure with variable cross-section size by Stereo Lithography Appearance (SLA)-based 3D additive manufacturing technology. It is…

262

Abstract

Purpose

This paper is devoted to prepare micro-cone structure with variable cross-section size by Stereo Lithography Appearance (SLA)-based 3D additive manufacturing technology. It is mainly focused on analyzing the forming mechanism of equipment and factors affecting the forming quality and accuracy, investigating the influence of forming process parameters on the printing quality and optimization of the printing quality. This study is expected to provide a µ-SLA surface preparation technology and process parameters selection with low cost, high precision and short preparation period for microstructure forming.

Design/methodology/approach

The µ-SLA process is optimized based on the variable cross-section micro-cone structure printing. Multi-index analysis method was used to analyze the influence of process parameters. The process parameter influencing order is determined and validated with flawless micro array structure.

Findings

After the optimization analysis of the top diameter size, the bottom diameter size and the overall height, the influence order of the printing process parameters on the quality of the micro-cone forming is: exposure time (B), print layer thickness (A) and number of vibrations (C). The optimal scheme is A1B3C1, that is, the layer thickness of 5 µm, the exposure time of 3000 ms and the vibration of 64x. At this time, the cone structure with the bottom diameter of 50 µm and the cone angle of 5° could obtain a better surface structure.

Originality/value

This study is expected to provide a µ-SLA surface preparation technology and process parameters selection with low cost, high precision and short preparation period for microstructure forming.

Details

Journal of Intelligent Manufacturing and Special Equipment, vol. 5 no. 1
Type: Research Article
ISSN: 2633-6596

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