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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.

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.

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.

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.

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

Considering the limited understanding of determinants influencing the adoption of smart mobile tourism app (SMTA) featuring augmented reality (AR) and big data analytics (BDA), privacy concern (PC) and the risk of privacy information disclosure (PI) have threatened SMTA adoption. This study aims to propose an expanded consumer acceptance and use of information technology (UTAUT2) model by including new contextual components, integrated with privacy calculus theory (PCT) model to examine the determinants influencing behavioural intention (BI) to use SMTA.

Personal innovativeness (IN) and privacy information disclosure (PI) are incorporated in UTAUT2 model to determine its effect on SMTA featuring AR and BDA technologies from smart perspective. Both privacy concern (PC) and privacy risk (PR) derived from PCT model are also included to determine its influences on an individual's willingness to disclose privacy information for better-personalised services. We collected responses from 392 targeted participants, resulting in a strong response rate of 84.66%. These responses were analysed statistically using structural equation modeling in both SPSS 22.0 and SmartPLS 3.0.

Findings showed that personal innovativeness (IN), habit (HT) and performance expectancy (PE) significantly affect behavioural intention (BI) while privacy concern (PC) significantly affect privacy information disclosure (PI) to use SMTA. In contrast, effort expectancy (EE), hedonic motivation (HM) and privacy information disclosure (PI) had no significant effects on behavioural intention (BI) while privacy risk (PR) had no significant effects on privacy information disclosure (PI) to use SMTA.

The study findings help tourism practitioners in better comprehending recent trends of SMTA adoption for establishing targeted marketing strategies on apps to improve service quality. In addition, it enables app development companies acquire app users’ preferences to enhance their app development for leading app usage.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

The COVID-19 pandemic offered a unique glimpse into the resilience of construction projects, shedding light on several learning opportunities. The purpose of this paper is to develop propositions for the improvement of resilient performance in construction in the post-pandemic era.

The propositions were developed based on an empirical study in Brazil. Data collection involved the analysis of regulations, interviews with health experts, managers, and workers, in addition to non-participant observations of the use of 37 control practices in 39 construction sites comparing the work-as-imagined and the work-as-done. The practices were classified in a hierarchy of controls.

Seven propositions for the improvement of resilient performance were developed, addressing collaboration between construction companies, slack resources, new health and safety practices, production planning and control, digital technologies, visual management, and organizational culture. These propositions emphasize organizational support for resilience. This is in contrast to the nature of most observed practices (57%) that relied on administrative controls and personal protective equipment, which are measures dependent on behaviors that resemble resilience at the individual level.

Although much has been studied on COVID-19 implications for construction projects, previous empirical studies have not adopted the organizational resilience perspective as the main theoretical background.

This paper aims to examine the association between the perceived values of information (economic, hedonic, functional, psychological) and the actual use of social networking channels (Instagram/Facebook groups/SNS personal profiles or messaging) for seeking information on accommodations.

879 respondents aged 18–55, who travel abroad as individual tourists at least once a year and are responsible for their own accommodation choice, were surveyed.

The study shows that all the values of information are more likely to be provided through posting a question on one's profile/messaging options (i.e. friends and relatives), than through Facebook groups and Instagram. The multivariate findings show that different values are associated with different SNS channel choices for seeking information.

The study provides an innovative approach to the motivations behind the use of different SNS platforms for travel information search by consumers. It offers practical implications, suggesting how to provide the relevant content on each channel.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

This research investigates how to optimize storage location assignment to decrease the order picking time and the waiting time of orders in the staging area of low-temperature logistics centers, with the goal of reducing food loss caused by temperature abuse.

The authors applied ABC clustering to the products in a simulated database of historical orders modeled after the actual order pattern of a large cold logistics company; then, the authors mined the association rules and calculated the sales volume correlation indices of the ordered products. Finally, the authors generated three different simulated order databases to compare order picking time and waiting time of orders in the staging area under eight different storage location assignment strategies.

All the eight proposed storage location assignment strategies significantly improve the order picking time (by up to 8%) and the waiting time of orders in the staging area (by up to 22%) compared with random placement.

The results of this research are based on a case study and simulated data, which implies that, if the best performing strategies are applied to different environments, the extent of the improvements may vary. Additionally, the authors only considered specific settings in terms of order picker routing, zoning and batching: other settings may lead to different results.

A storage location assignment strategy that adopts dispersion and takes into consideration ABC clustering and shipping frequency provides the best performance in minimizing order picker's travel distance, order picking time, and waiting time of orders in the staging area. Other strategies may be a better fit if the company's objectives differ.

Previous research on optimal storage location assignment rarely considered item association rules based on sales volume correlation. This study combines such rules with several storage planning strategies, ABC clustering, and two warehouse layouts; then, it evaluates their performance compared to the random placement, to find which one minimizes the order picking time and the order waiting time in the staging area, with a 30-min time limit to preserve the integrity of the cold chain. Order picking under these conditions was rarely studied before, because they may be irrelevant when dealing with temperature-insensitive items but become critical in cold warehouses to prevent temperature abuse.

The e-commerce boom presents new challenges for last-mile delivery (LMD), which may be mitigated by new delivery technologies. This paper evaluates the impact of mobile parcel lockers (MPL) on costs and CO₂ equivalent (CO₂e) emissions in existing LMD networks, which include home delivery and shipments to stationary parcel lockers.

To describe customers’ preferences, we design a multinomial logit model based on recipients’ travel distance to pick-up locations and availability at home. Based on route cost estimation, we define the operating costs for MPLs. We devise a mathematical model with binary decision variables to optimize the location of MPLs.

Our study demonstrates that integrating MPLs leads to additional cost savings of 8.7% and extra CO₂e emissions savings of up to 5.4%. Our analysis of several regional clusters suggests that MPLs yield benefits in highly populous cities but may result in additional emissions in more rural areas where recipients drive longer distances to pick-ups.

This paper designs a suitable operating model for MPLs and demonstrates environmental and economic savings. Moreover, it adds recipients’ availability at home to receive parcels improving the accuracy of stochastic demand. In addition, MPLs are evaluated in the context of several regional clusters ranging from large cities to rural areas. Thus, we provide managerial guidance to logistics service providers how and where to deploy MPLs.

The purpose of this paper is to explore the tourists' perception of smart tourism with the application of virtual reality and design a framework of smart tourism with elements of VR for Indian Tourism especially in the periods of the pandemic COVID-19. The ever-evolving and unprecedented COVID 19 situation had posed extreme challenges for the travel and tourism industry. In such conditions, it is becoming increasingly necessary to rely on digital technologies, ICT and smart tourism. ICT has served as a catalyst for innovations in tourism.

This study investigates the impact of smart tourism and virtual reality technology on the perception of tourists towards travelling decisions during and post COVID-19 scenario. The respondents involved in the study were tourists travelling in India, the tourists come from different parts of India. A structured questionnaire has been administered to collect data from 224 travellers across India. The questionnaire consisted 22 constructs. The constructs in this section were measured using a five-point Likert scale ranging. In the first step, the first order Confirmatory Factor Analysis (CFA) is carried out, by using the software IBM AMOS-20. The initial model is generated ix constructs, and outcomes are used to analyse the model's goodness of fit and construct validity. In the second step, Structural Equation Modelling (SEM) is carried out to do the path analysis of the proposed model. The effect of relationships amongst the theoretical constructs is also analysed using SEM.

The findings imply that the application of smart tourism along with virtual reality forms a positive perception of tourists and provides a sustainable platform for tourism organizations in Indian tourism. Virtual reality-based tourism has emerged as alternate for the tourism industry during the times of Covid, which in long run can be seen as a substitute to traditional tourism. The increasing use of blue ocean concepts, to delivery high-value experience at low cost has complimented the tourism industry. The researchers have made a modest attempt by proposing a blended model of smart tourism with virtual reality as a blue ocean strategy and which would ultimately facilitate the sustainability of the Industry by creating multi-dimensional values of experience for tourists in India.

The researchers have made a modest attempt by proposing a blended model of smart tourism with virtual reality as a blue ocean strategy, which would ultimately facilitate the industry's sustainability by creating multi-dimensional values of experience for tourists in India.

This qualitative study designs a smart tourism system with the use of the recent advances in ICT and Virtual Reality (VR), as a bridging solution and the saviour of the tourism sector in India during COVID 19. The integration of ICT into the travel experience has resulted in the social phenomena of smart tourism. This has led to a rise in use of smart tourism tools among tourism service providers.