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Open Access
Article
Publication date: 23 January 2024

Rubens C.N. Oliveira and Zhipeng Zhang

The purpose of this study is to address the extended travel time caused by dwelling time at stations for passengers on traditional rail transit lines. To mitigate this issue, the…

Abstract

Purpose

The purpose of this study is to address the extended travel time caused by dwelling time at stations for passengers on traditional rail transit lines. To mitigate this issue, the authors propose the “Non-stop” design, which involves trains comprised of modular vehicles that can couple and uncouple from each other during operation, thereby eliminating dwelling time at stations..

Design/methodology/approach

The main contributions of this paper are threefold: first, to introduce the concept of non-stop rail transit lines, which, to the best of the authors’ knowledge, has not been researched in the literature; second, to develop a framework for the operation schedule of such a line; and third, the author evaluate the potential of its implementation in terms of total passenger travel time.

Findings

The total travel time was reduced by 6% to 32.91%. The results show that the savings were more significant for long commutes and low train occupancy rates.

Research limitations/implications

The non-stop system can improve existing lines without the need for the construction of additional facilities, but it requires technological advances for rolling stock.

Originality/value

To eliminate dwelling time at stations, the authors present the “Non-stop” design, which is based on trains composed of locomotives that couple and uncouple from each other during operation, which to the best of the authors’ knowledge has not been researched in the literature.

Details

Smart and Resilient Transportation, vol. 6 no. 1
Type: Research Article
ISSN: 2632-0487

Keywords

Article
Publication date: 5 January 2024

Ken Farnes, Neville Hurst, Woon-Weng Wong and Sara Wilkinson

The purpose of this study was to explore and critique the benefits and disbenefits that transport orientated development (TOD) brings to neighbourhoods in proximity to public…

Abstract

Purpose

The purpose of this study was to explore and critique the benefits and disbenefits that transport orientated development (TOD) brings to neighbourhoods in proximity to public transport hubs.

Design/methodology/approach

This is an exploratory study that may also be described as a rapid review that aims to provide coverage of the available literature in a systematic process that is simplified to produce information in a timely manner. Due to the relatively small number of available studies from peer-reviewed sources, the variety of methods and data used and the constrained time available for this study, the study did not immediately lend itself to a more thorough systematic literature review.

Findings

The literature shows the discourse on TOD upholds its promise to create a high-density mixed-use walkable neighbourhood supported by transport infrastructure, increasing accessibility, minimising vehicle dependency, reducing traffic congestion, moderating urban sprawl and reducing pollution. There are few articles on the negative aspects of TOD, particularly concerning social exclusion, crime, sustainability and concerns about gentrification of neighbourhoods.

Research limitations/implications

The study did not immediately lend itself to a more thorough systematic literature review due to the relatively small number of available studies, the variety of methods and data used and the constrained time available for this study.

Originality/value

This study allows social investigators, policymakers and developers understand the benefits and disbenefits of TOD including policy implications regarding potential criminogenic factors.

Details

Smart and Sustainable Built Environment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-6099

Keywords

Open Access
Article
Publication date: 21 November 2023

Warinrampai Rungruangjit and Kitti Charoenpornpanichkul

Food delivery applications (FDAs) are becoming more and more well-liked across Generations X, Y and Z, with Asia experiencing the biggest growth. These three generations of…

1044

Abstract

Purpose

Food delivery applications (FDAs) are becoming more and more well-liked across Generations X, Y and Z, with Asia experiencing the biggest growth. These three generations of consumers have distinct views toward using FDAs because they were influenced by various social environments, cultures and experiences. Therefore, marketers ought to present customers with various values. The purpose of this study is to investigate how the theory of consumption values (TCV) affects the intention of various generational cohorts to continued usage intentions.

Design/methodology/approach

Online surveys were distributed to 745 Thai customers who had previously ordered meals from FDAs to collect information. The data were analyzed using partial least squares structural equation modeling and multigroup analysis.

Findings

Results reveal that there are significant differences among Generations X, Y and Z, while emotional value is insignificant. Generation X is concerned about functional and conditional value, whereas Generation Y expresses the highest concern on epistemic and social value. Meanwhile, Generation Z pays attention to epistemic, functional and social value.

Originality/value

The novelty of this study contributes to TCV affecting the different FDAs consumption value among Generations X, Y and Z, while the previous research only focused on gender and age difference, and this study firstly combines FDAs with TCV to predict the consumers’ intention to continuously use FDAs in the post-COVID-19 outbreak.

Details

Journal of Asia Business Studies, vol. 18 no. 1
Type: Research Article
ISSN: 1558-7894

Keywords

Article
Publication date: 20 February 2024

Ylenia Cavacece, Giulio Maggiore, Riccardo Resciniti and Andrea Moretta Tartaglione

The purpose of this paper is to investigate user satisfaction with digital health solutions by identifying and prioritizing different service attributes on the basis of their…

Abstract

Purpose

The purpose of this paper is to investigate user satisfaction with digital health solutions by identifying and prioritizing different service attributes on the basis of their impact on improving user satisfaction.

Design/methodology/approach

Through a literature review and interviews with health professionals and patients, 20 attributes of digital health services provided in Italy have been identified. User satisfaction with these attributes has been evaluated by adopting the Kano model’s continuous and discrete analyses.

Findings

The findings reveal the essential attributes of digital health services that meet users' expectations, identify the attributes that users appreciate or dislike having and highlight unexpected attributes that lead to a significant boost in satisfaction when provided.

Research limitations/implications

This study demonstrates the efficacy of the Kano model in assessing the nonlinear correlation between user satisfaction and the quality of digital health services, thus contributing to fill a gap in the literature in this area. The main limitation of this work is the use of a non-probabilistic sampling method.

Practical implications

This research suggests healthcare institutions and organizations consider user preferences when designing digital health solutions to increase their satisfaction. The results indicate different effects on user satisfaction and dissatisfaction for different categories of attributes in the Italian context.

Originality/value

Previous works studied customer satisfaction with digital health, assuming a linear relationship with service quality, or investigated consumer adoption intentions focusing on the technological factors. This work advances available knowledge by analyzing the nonlinear relationship between digital health attributes and users’ satisfaction and dissatisfaction.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 27 October 2023

Pulkit Tiwari

The objective of this research work is to design a data-based solution for administering traffic organization in a smart city by using the machine learning algorithm.

Abstract

Purpose

The objective of this research work is to design a data-based solution for administering traffic organization in a smart city by using the machine learning algorithm.

Design/methodology/approach

A machine learning framework for managing traffic infrastructure and air pollution in urban centers relies on a predictive analytics model. The model makes use of transportation data to predict traffic patterns based on the information gathered from numerous sources within the city. It can be promoted for strategic planning determination. The data features volume and calendar variables, including hours of the day, week and month. These variables are leveraged to identify time series-based seasonal patterns in the data. To achieve accurate traffic volume forecasting, the long short-term memory (LSTM) method is recommended.

Findings

The study has produced a model that is appropriate for the transportation sector in the city and other innovative urban applications. The findings indicate that the implementation of smart transportation systems enhances transportation and has a positive impact on air quality. The study's results are explored and connected to practical applications in the areas of air pollution control and smart transportation.

Originality/value

The present paper has created the machine learning framework for the transportation sector of smart cities that achieves a reasonable level of accuracy. Additionally, the paper examines the effects of smart transportation on both the environment and supply chain.

Details

Management of Environmental Quality: An International Journal, vol. 35 no. 2
Type: Research Article
ISSN: 1477-7835

Keywords

Book part
Publication date: 16 January 2024

Monika Prakash, Sweety Mishra, Pinaz Tiwari and Nimit Chowdhary

The smart destination can be defined as a destination that deploys information communications technologies (ICTs) and other technological tools for interactive/participative…

Abstract

The smart destination can be defined as a destination that deploys information communications technologies (ICTs) and other technological tools for interactive/participative engagement with prospective visitors. The rationale is to enhance the residents' quality of life as well as the tourists' experiences of the destinations they visit. This chapter discusses about digitization strategies and on marketing superstructures affecting destinations. It advances a conceptual framework through the development of an Attracting, Stay, and Return (ASR) Model that is suitable for smart destinations. It relies on descriptive case studies to conceptualize smart tourism destinations. This contribution reiterates the importance of having a well-designed website that presents appropriate content to entice the prospective travelers' curiosity about destinations. It offers valuable insights and advances new knowledge on smart marketing approaches that are intended to increase the destination management organizations' outreach with tourists at each stage of the ASR Model.

Details

Tourism Planning and Destination Marketing, 2nd Edition
Type: Book
ISBN: 978-1-80455-888-1

Keywords

Article
Publication date: 11 July 2023

Yair Wiseman

Nowadays, transportation authorities in various countries are in tension as to whether to invest in railroads or roads. There are arguments for each side, and in the end, each…

Abstract

Purpose

Nowadays, transportation authorities in various countries are in tension as to whether to invest in railroads or roads. There are arguments for each side, and in the end, each transportation authority reaches a kind of balance between the investments. This study aims to anticipate how autonomous vehicles will influence this decision.

Design/methodology/approach

The roads' capacity in the era of autonomous vehicles is assessed and research has concluded that the anticipated increase in road capacity will encourage transportation authorities to invest much more in roads than in railroads.

Findings

The appearance of the autonomous vehicles will significantly change the balance in favor of the roads, because the roads' capacity will be increased substantially so the roads will be able to accommodate many more vehicles.

Research limitations/implications

Currently, autonomous vehicles are still very rare.

Practical implications

The impact of autonomous vehicles on the decision whether to build more roads is explained.

Originality/value

The study explained why the transportation authorities in the various countries will be more inclined to switch to road construction and why the transition to more roads and fewer railroads will likely be done gradually as more autonomous vehicles enter service.

Details

International Journal of Intelligent Unmanned Systems, vol. 12 no. 1
Type: Research Article
ISSN: 2049-6427

Keywords

Article
Publication date: 19 December 2022

Yong Chen

This study aims to model tourist activities in a network and explore the properties of the network. Such network enables the author to explain and quantify how tourist activities…

Abstract

Purpose

This study aims to model tourist activities in a network and explore the properties of the network. Such network enables the author to explain and quantify how tourist activities are connected in determining tourist consumption as well as the organization of destination supply.

Design/methodology/approach

The author developed a network formation mechanism to create edges between nodes based on the joint probability of a pair of activities undertaken by tourists at a destination. By adjusting network sparsity, the author created an ensemble of four topologically similar networks for empirical testing. The author used tourist activity data of Hong Kong inbound tourists to test the network model.

Findings

The author found a robust hub–periphery topological structure of the tourist activity network. In addition, the network is featured by high clustering, short diameter and positive correlations between four node centralities, namely, degree, closeness, betweenness and eigenvector centralities. The author also generated the k-cores of the networks to further unravel the structure of hub nodes. The author found that the k-cores are dominated by tourist activities related to shopping or sightseeing, suggesting the high complementarity of these activities.

Research limitations/implications

This study provides a different lens through which tourist consumption can be understood from a macroscopic angle by examining network topology and from a microscopic angle by examining node centralities.

Originality/value

To the best of the author’s knowledge, this is the first study attempting to model tourist activity and consumption in a network and explore the properties of the network. Not only has this study provided a new real-world network for network research, but it has also suggested an innovative modeling approach for tourist behavior research.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 2
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 9 January 2024

Jude Madi, Mohammad Al Khasawneh and Ala' Omar Dandis

The primary aim of this study is to identify and analyze the key factors that impact the intentions of Jordanian tourists to visit and revisit destinations using the Jannah Jo…

Abstract

Purpose

The primary aim of this study is to identify and analyze the key factors that impact the intentions of Jordanian tourists to visit and revisit destinations using the Jannah Jo app.

Design/methodology/approach

A self-administered questionnaires via Google Forms was employed comprising a sample of 401 Jordanian tourists who have the Jannah Jo app. Partial least squares-structural equation modeling approach was applied for hypotheses testing.

Findings

The present investigation has revealed that the constructs of perceived ease of use (PEU), perceived usefulness (PU) and perceived value (PV) exerted a significant and positive impact on electronic word of mouth (e-WOM). Additionally, e-WOM was observed to wield a positive and significant influence on the attitudes of consumers' decision-making, thereby ultimately affecting the intentions of Jordanian tourists with regard to their decisions to visit and revisit destinations. Nevertheless, it is noteworthy that the results indicated that neither augmented reality nor content quality exhibited any statistically significant positive relationship with e-WOM.

Practical implications

Tourism agencies striving to encourage the adoption of smart applications must grasp the relevance of e-WOM within the contemporary digital milieu. Additionally, they should acknowledge the significance of tourists' intentions concerning both revisiting and initial visits. This research contends that such agencies ought to take into account the substantial influence exerted by PEU, PU and PV in shaping the favorable e-WOM discourse.

Originality/value

By integrating the technology acceptance model in conjunction with other relevant variables, this research strives to develop a comprehensive model that advances the comprehension of the intricate determinants affecting tourists' engagements with mobile applications. Furthermore, it is noteworthy that this study represents the initial investigation conducted in the Middle East, specifically in Jordan, on this subject matter.

Details

International Journal of Quality & Reliability Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 26 July 2023

Sherry Hsueh-Yu Tseng, James Higham and Craig Lee

This study aims to shape the future of academic air travel practices by identifying the challenges between existing air travel-related policies and practicing responsible air…

Abstract

Purpose

This study aims to shape the future of academic air travel practices by identifying the challenges between existing air travel-related policies and practicing responsible air travel.

Design/methodology/approach

With increasing concern over global warming, many institutions have implemented sustainability programmes to tackle carbon emissions and create sustainable practices. COVID-19 has resulted in many universities seizing the opportunity to maintain reduced levels of academic air travel emissions. However, the outdated travel-related policies have caused much scope for tension arising from the policy gap between pre-COVID university travel policies and academics' intentions to reduce their air travel emissions. This study interviewed academics at the University of Otago (New Zealand) to elicit detailed narratives of their perceptions of the university’s air travel-related policies, generating co-created and mutually informative insights.

Findings

The present programme of in-depth interviews with academic staff revealed that while most staff accept the need to reduce air travel emissions, they face challenges concerning career advancement, equity and equality issues. Universities will need to evolve their travel-related policies to address these challenges, enabling academics to adopt new practices that do not unreasonably disadvantage themselves, their disciplines or their institutions.

Originality/value

The findings contribute to the literature by highlighting the institutional policy challenges to responsible academic air travel and the need for the current policy gap to be resolved. The authors propose directions for a responsible academic air travel future that will require both top-down and bottom-up approaches involving academics and institutions.

Details

International Journal of Sustainability in Higher Education, vol. 25 no. 1
Type: Research Article
ISSN: 1467-6370

Keywords

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