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The purpose of this paper is to show the spatial extent and growth of tourism and its likely patterns as past forces of change are replaced by new pressures to reduce climate change and meet new definitions of success.

The approach involves a review of changes that have occurred over the Horizon period with a focus on the spatial spread and development of tourism, using and based on a literature review, past research and personal experience. Likely new developments are identified based on the expected result of influences including climate change mitigation and altered understandings of what is meant by success in tourism.

Much of the spatial change in tourism has been evolutionary rather than revolutionary, but in the future, restrictive forces external to tourism may change travel patterns with severe effects on long haul travel and a change in travel mode.

The research focus needs to produce effective measures of success as understood by all stakeholders in tourist destinations. Alternative destinations will need to replace those long haul destinations no longer available and research needs to refocus on managing rather than solely attracting visitors.

Long haul destinations will lose market share, destinations will change goals to satisfaction for stakeholders and travel modes will change to lower emission generators.

Destination choice will be reduced, transport modes may be limited and tourism closer to home will become the norm.

A general overview of this type has not been presented before.

揭示旅游业的空间范围和增长及其可能改变的模式, 因为以往的变化驱动力被减少气候变化的新压力并满足成功的新定义所取代。

由于缓解气候变化等影响和对旅游业成功含义的理解的改变而可能出现的一些新发展。本文基于文献综述、过去的研究和个人经验, 对综述期间发生的变化进行梳理, 重点关注旅游的空间扩散和发展。

过去, 旅游的很多空间变化是渐进式的, 而不是革命性的。但在未来, 旅游外部的限制性力量可能会改变旅行模式, 对长途旅行和旅行方式的变化产生严重影响。

研究重点需要产生为旅游目的地所有利益相关者所理解的, 有效的对于成功的衡量标准。替代性目的地将取代那些不可用的长途目的地。研究需要重新关注旅游业管理, 而不仅仅是吸引游客。

长途目的地将失去市场份额, 目的地将改变目标以满足利益相关者, 旅行模式将转变为低排放模式。

目的地的选择性将会减少, 交通方式可能会受到限制, 离家更近的旅游将成为常态。

这种类型的一般性概述以前没有研究过。

Mostrar la extensión espacial y el crecimiento del turismo y su probable patrón alterado a medida que las fuerzas de cambio del pasado son sustituidas por nuevas presiones para reducir el cambio climático y satisfacer nuevas definiciones de éxito.

Una revisión de los cambios que se han producido durante el periodo Horizonte, centrándose en la extensión espacial y el desarrollo del turismo, basándose en la revisión bibliográfica, la investigación previa y la experiencia personal, y los posibles nuevos desarrollos como resultado de antecedentes, incluyendo la mitigación del cambio climático y la alteración de la comprensión de lo que se entiende por éxito en el turismo.

Gran parte del cambio espacial en el turismo ha sido evolutivo más que revolucionario, pero, en el futuro, fuerzas restrictivas externas al turismo pueden cambiar los patrones de viaje con graves efectos en los viajes de larga distancia y un cambio en el modo de viajar.

El enfoque de la investigación necesita producir medidas efectivas de éxito tal y como las entienden todas las partes interesadas en los destinos turísticos. Los destinos alternativos tendrán que sustituir a los destinos de larga distancia que ya no estén disponibles y la investigación debe volver a centrarse en la gestión en lugar de únicamente en atraer visitantes.

Los destinos de larga distancia perderán cuota de mercado, los destinos cambiarán sus objetivos por la satisfacción de las partes interesadas y los modos de viaje cambiarán a generadores de menos emisiones.

Se reducirá la oferta de destinos, los modos de transporte pueden verse limitados y el turismo más cercano se convertirá en la norma.

No se había presentado antes una revisión general con este enfoque.

This study aims to solve the problem of high output voltage fluctuation and low efficiency caused by the misalignment of the magnetic coupling structure in the wireless charging system for electric vehicles. To address these issues, this paper proposes a dual LCC-S wireless power transfer (WPT) system based on the double-D double-layer quadrature (DDDQ) coil, which can realize the anti-misalignment constant voltage output of the system.

First, this paper establishes the equivalent circuit of a WPT system based on dual LCC-S compensation topology and analyzes its constant-voltage output characteristics and the relationship between system transmission efficiency and coupling coefficient. 1. Quadruple D (Ahmad et al., 2019) and double-D quadrature pad (DDQP) (Chen et al., 2019) coils have good anti-misalignment in the transverse and longitudinal directions, but the magnetic induction intensity in the center of the coils is weak, making it difficult for the receiving coil to effectively couple to the magnetic field energy. 2. Based on the double-D quadrature (DDQ) structure coil that can eliminate the mutual inductance between coupling coils and cross-coupling, Gong et al. (2022a) proposed a parameter optimized LCC-LC series-parallel hybrid topology circuit, which ensures that the output current fluctuation is controlled within 5% only when the system is misaligned within the 50% range along the X direction, achieving constant current output with anti-misalignment. The magnetic coupling structure’s finite element simulation model is established to analyze the change in magnetic induction intensity and the system’s anti-misalignment characteristics when the coil offsets along the x and y axes. Finally, an experimental prototype is developed to verify the constant voltage output performance and anti-misalignment performance of the system, and the proposed anti-misalignment system is compared with the systems in existing literature, highlighting the advantages of this design.

The experimental results show that the system can achieve a constant voltage output of 48V under a time-varying load, and the output voltage fluctuates within ±5% of the set value within the range of ±60 mm lateral misalignment and ±72 mm longitudinal misalignment.

Based on the dual LCC-S WPT system, the mutual inductance between the same side coils is reduced by adding decoupling coils, and the anti-misalignment characteristics and output power of the system are improved in a certain range. It is aimed at improving the stability of the system output and transmission efficiency.

We introduce decision support tools aimed at optimizing perishable food supply chain management, effectively balancing conflicting objectives such as the exporter’s product collection cost and the importer’s profit. This involves considering factors like perishability, selling price, discount rate, and order quantity to achieve optimal outcomes.

This study considered a three-echelon supply chain comprising farmers, a single exporter, and a single importer providing a single, random-lifetime, perishable product under deterministic customer demand. The proposed mathematical model derived the optimal order quantity, selling price, and discount rate for the entire supply chain. This integrated optimization model treats both demand and supply sides as a multi-objective problem, employing a nonlinear program and a two-stage capacitated vehicle routing problem formulation. Numerical examples and a case study focusing on Thailand durian supply chain were conducted to illustrate the approach of the proposed model.

Taking into account both the importer’s profit and the exporter’s product collection cost, the proposed integrated supply chain model and tools maximize profitability, minimizes waste, and meets demand by optimizing perishable product collection costs and proposing a discount system for selling prices.

Limited to a single perishable product in a three-echelon international food supply chain. Future research can explore different products and supply chain contexts.

The tools enhance decision-making for supply chain managers, improving efficiency, reducing costs, and enhancing customer satisfaction in the perishable food industry.

The proposed model aids in local workforce management by forecasting required manpower for upcoming seasons. By factoring in product quality and pricing, it ensures customers receive fresh products at fair prices. Furthermore, the near-zero waste concept enhances storage conditions at importers' facilities, contributing to improved environmental hygiene.

The integrated model and decision support tools offer a novel approach to address complexities and conflicting objectives in perishable food supply chains, providing practical insights for researchers and practitioners.

This study aims to explore the integration of machine learning (ML) in tribology to optimize lubrication interval decisions, aiming to enhance equipment lifespan and operational efficiency through wear image analysis.

Using a data set of scanning electron microscopy images from an internal combustion engine, the authors used AlexNet as the feature extraction algorithm and the J48 decision tree algorithm for feature selection and compared 15 ML classifiers from the lazy-, Bayes and tree-based families.

From the analyzed ML classifiers, instance-based k-nearest neighbor emerged as the optimal algorithm with a 95% classification accuracy against testing data. This surpassed individually trained convolutional neural networks’ (CNNs) and closely approached ensemble deep learning (DL) techniques’ accuracy.

The proposed approach simplifies the process, enhances efficiency and improves interpretability compared to more complex CNNs and ensemble DL techniques.

This paper aims to develop a robust navigation enhancement framework to handle one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents.

In this paper, the main idea is to fully exploit the consistent features among spatio-temporal data and thus detect the anomalies and build residual channels to reconstruct the abnormal information. The authors first develop an anomaly detection algorithm, then followed by a corresponding disturbed information reconstruction network which has strong robustness to address both the nature disturbances and external attacks. Finally, the authors introduce a fully end-to-end resilient navigation performance enhancement framework to improve the driving performance of existing self-driving models under attacks and disturbances.

Comparison results on CARLA platform and real experiments demonstrate strong resilience of the authors’ approach which enhances the navigation performance under disturbances and attacks.

Reliable and resilient navigation performance under various nature disturbances and even external attacks is one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents. The information reconstruction approach provides a resilient navigation performance enhancement method for existing self-driving models.

Scholars of disaster have discussed how place attachment affects the disaster landscape. The rupture of self from home, of familiar into strange and disconnected is explored through this lens. I propose in this paper that it is possible that what we are seeing is not a sudden disruption of place attachment, but an ongoing process of alienation.

In this paper I discuss the concepts of both place attachment and alienation. In particular I explore Marx’s concept of alienation. I then look at examples from disaster research and identify instances and concepts that can be better interpreted as an ongoing process of alienation.

I find that, when using Marx’s framework of alienation, we can take examples from disaster studies that might appear as a sudden disruption of place attachment and critically examine them as cases of alienation.

This exploration of disaster theory offers a new framework for bringing together urban theory, in particular critical urban theory, with disaster research.

The purpose of this paper is to propose a new grey prediction model, GOFHGM (1,1), which combines generalised fractal derivative and particle swarm optimisation algorithms. The aim is to address the limitations of traditional grey prediction models in order selection and improve prediction accuracy.

The paper introduces the concept of generalised fractal derivative and applies it to the order optimisation of grey prediction models. The particle swarm optimisation algorithm is also adopted to find the optimal combination of orders. Three cases are empirically studied to compare the performance of GOFHGM(1,1) with traditional grey prediction models.

The study finds that the GOFHGM(1,1) model outperforms traditional grey prediction models in terms of prediction accuracy. Evaluation indexes such as mean squared error (MSE) and mean absolute error (MAE) are used to evaluate the model.

The research study may have limitations in terms of the scope and generalisability of the findings. Further research is needed to explore the applicability of GOFHGM(1,1) in different fields and to improve the model’s performance.

The study contributes to the field by introducing a new grey prediction model that combines generalised fractal derivative and particle swarm optimisation algorithms. This integration enhances the accuracy and reliability of grey predictions and strengthens their applicability in various predictive applications.

This study aims to explore the manifold implications – health, environmental and economic – of integrating coworking spaces (CSs) into residential settings. The research emphasizes the health-related potential and connected benefits of situating these contemporary spaces of work in retrofitted buildings.

The research highlights the potential of retrofitted buildings – owing to their urban locations, existing infrastructure, and available space – to accommodate CSs. Employing the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology, the paper systematically reviews literature from 2010 to 2021. It investigates the influence of residential CSs on health, community cohesion and environmental sustainability.

The results indicate that integrating CSs within residential areas can significantly enhance user wellbeing, create a healthier residential environment and positively impact the broader community. Retrofitted buildings emerge as optimal venues for CSs due to their urban positioning and potential to contribute to users' physical, mental and social health. However, the strategic (re)use of retrofitted buildings is crucial, alongside planning to address potential downsides like gentrification.

The study is based on a literature review and may not fully capture the specificities of certain regional or local conditions that could affect the health benefits associated with CSs. In addition to that, the study primarily references European-centric research between 2010 and 2021, indicating a need for more diverse geographic and cultural studies. Further empirical studies are needed to validate the findings behind the following study.

The findings of this study can guide urban planners, policymakers and architects in assessing the feasibility of converting residential buildings into CSs and planning relevant activities. They can leverage the potential health benefits to promote CSs and encourage healthier lifestyle practices in residential communities.

Introducing CSs in residential areas can lead to reduced commuting stress, opportunities for physical activities and social interactions, and healthier lifestyle practices. These benefits can enhance the overall well-being of individuals and communities, fostering a stronger social fabric in urban settings.

This research is novel in examining the health benefits associated with CSs in residential areas and the role of retrofitted buildings in promoting such advantages.

This paper aims to compare the aging behavior of water-based coatings and solvent-based coatings in sulfuric acid environments and to discuss the related mechanism.

A sulfuric acid solution with a concentration of 5 Wt.% was selected for immersion test at 23°C. The failure behavior of the coating was studied by combining the transformation rules of the macroscopic morphology and basic properties with the results of electrochemical impedance spectrum analysis.

The results showed that the surface smoothness of the water-based coating was lower than that of the solvent-based coating. The glossiness, thickness and hardness of the water-based coating exhibited more significant changes. The electrochemical test also indicated that the water-based coating was infiltrated by a large number of corrosive media, which may have induced corrosion under the coating. In contrast, the solvent-based coating showed good shielding properties, but the adhesion was seriously affected by the corrosive medium.

This work clarified the difference of failure behavior and mechanism between water-based coatings and solvent-based coatings in acidic environment and provided a theoretical basis for the selection and mechanism research of anticorrosive coatings.

Energy-efficiency measures have always been important when renovating aging building stock. For property owners, window intervention is a recurring issue. Replacement is common to reduce operational heating energy (OHE) use, something many previous building renovation studies have considered. Maintaining rather than replacing windows has received less attention, especially for multi-residential buildings in a subarctic climate where there is great potential for OHE savings. The objective was to assess the life cycle (LC) climate impact and costs of three window maintenance and replacement options for a 1980s multi-residential building in subarctic Sweden.

The options’ embodied and operational impacts from material production, transportation and space heating were assessed using a life cycle assessment (LCA) focusing on global warming potential (LCA-GWP) and life cycle costing (LCC) with a 60-year reference study period. A sensitivity analysis was used to explore the impact of uncertain parameters on LCA-GWP and LCC outcomes.

Maintaining instead of replacing windows minimized LC climate impact and costs, except under a few specific conditions. The reduced OHE use from window replacement had a larger compensating effect on embodied global warming potential (E-GWP) than investment costs, i.e. replacement was primarily motivated from a LC climate perspective. The LCA-GWP results were more sensitive to changes in some uncertain parameters, while the LCC results were more robust.

The findings highlight the benefits of maintenance over replacement to reduce costs and decarbonize window interventions, challenging property owners’ preference to replace windows and emphasizing the significance of including maintenance activities in future renovation research.