Search results

A search and rescue incident is ultimately all about the location of the missing person; hence, geotechnical tools are critical in providing assistance to search planners. One critical role of Geographic Information Systems (GISs) is to define the boundaries that define the search area. The literature mostly focuses on ring- and area-based methods but lacks a linear/network approach. The purpose of this paper is to present a novel network approach that will benefit search planners by saving time, requires less data layers and provides better results.

The paper compares two existing models (Ring Model, Travel Time Cost Surface Model (TTCSM)) against a new network model (Travel Time Network Model) by using a case study from a mountainous area in Austria. Newest data from the International Search and Rescue Incident Database are used for all three models. Advantages and disadvantages of each model are evaluated.

Network analyses offer a fruitful alternative to the Ring Model and the TTCSM for estimating search areas, especially for regions with comprehensive trail/road networks. Furthermore, only few basic data are needed for quick calculation.

The paper supports GIS network analyses for wildland search and rescue operations to raise the survival chances of missing persons due to optimizing search area estimation.

The paper demonstrates the value of the novel network approach, which requires fewer GIS layers and less time to generate a solution. Furthermore, the paper provides a comparison between all three potential models.

The paper focuses on an aspect of disaster often overlooked by experts: that of disaster memory both as a prevention tool and one potentially contributing to the resilience of vulnerable communities in Japan. The objective is, more specifically, to explore one specific source of disaster memory in Japan, namely the disaster-related stone monuments scattered throughout the archipelago.

To achieve the goals, the authors have studied several types of materials. First, the authors have used the “Natural Disaster Monument” online database compiled by the Geospatial Information Authority of Japan (GIS), data upon which the authors based the field research study, focused on water-related disaster in Otsu city (Shiga Prefecture). Simultaneously, the authors have systematically searched Japanese newspapers since the middle of the 19th century as well as the archives of Shiga prefecture in order to collect additional information on the statistical reality of these monuments, the context of their creation and in order to better estimate the severity of our case studies.

First, the findings show that stone monuments are indeed structuring elements of disaster memory in Japan. Not only are they present throughout the archipelago, but in addition, they are still for the most part visited by local communities. Second, the findings show how this material culture of disaster, as a vector of disaster memory, could be used as a tool to better understand and bring awareness to the occurrence of specific hazards, especially to future generations.

The authors promote an interdisciplinary approach by associating anthropology and history. The study offers a new and original character about an object of study relating to both the cultural and historical fields but still often neglected as a tool and object of research in DDR. The authors provide a method and suggest ways to integrate these stone monuments into DDR policies. Finally, the authors propose to better integrate these monuments into the overall reflection on disaster awareness and disaster mitigation.

This paper aims to assess whether the current eResearch Knowledge Centre’s (eRKC) research support practices align with researchers’ requirements for achieving their research objectives. The study’s objectives were to assess the current eRKC research support services and to determine which are adequate and which are not in supporting the Human Sciences Research Council (HSRC) researchers.

This study uses interviews as part of the qualitative approach. The researcher chose to use interviews, as some aspects warranted further explanation during the interview. The interviews were scheduled using Zoom’s scheduling assistant. The interviews were semi-structured, guided by a flexible interview procedure and supplemented by follow-up questions, probes and comments. The research life cycle questions guided the interviews. The data obtained were coded and transcribed using MS Excel. The interview data were analysed, using NVivo, according to the themes identified in the research questions and aligned with the theory behind the study. Pre-determined codes were created in line with the six stages of the research life cycle and applied to group the data and extract meaning from each category. Interviewee responses were assigned to groups in line with the stages of the research life cycle.

The current eRKC research support services are aligned with the needs of HSRC researchers and highlight services that could be expanded or promoted more effectively to HSRC researchers. It proposes a new service, data analysis, and suggests that the eRKC could play a more prominent role in research impact, research data management and fostering collaboration with HSRC research divisions.

This study is limited to assessing the eRKC’s support practices at the HSRC in Pretoria, South Africa. A more comprehensive study is needed for HSRC research services, capabilities and capacity.

Assessment of eRKC followed a comprehensive interviewee schedule that followed Raju and Schoombee’s research life cycle model.

Zoom’s scheduling assistant may have generated Zoom fatigue and reduced productivity. Technical issues, losing time, communication gaps and distant time zones may have affected face-to-face interaction.

eRKC research support practices are rare in South Africa and most parts of the world. This study bridges the gap between theory and practice in assessing eRKC research support practices.

The paper presents a research methodology that could be used to carry out a systematic literature review on the current state of the art of the technological development in the field of the digitalization and unphysicalization of supply chains (SCs). A three-dimensional conceptual framework focusing on the relationship between Digital Technologies (DTs), business processes and SC performance is presented. The study identifies the emerging practices and areas of SC management that could be positively affected by the implementation of DTs. With this in mind, the emerging practices have a high probability to be considered future best practices.

A systematic literature review was conducted on DTs in SC management. The methodology used aims to algorithmically and objectively standardize the information incorporated into thousands of scientific documents. Selected papers were analyzed to investigate the recent literature on SC digitalization and unphysicalization. A total of 87 DTs were selected to be analyzed and subsequently grouped into 11 macro-categories. 17 business processes linked to SC management are taken into account and 17 different impacts on SC management are presented. From a set of 1,585 papers, 5,060 emerging practices were collected and singularly summarized combining DT, business process and impact on SC performance.

A unique analytical perspective provided represents an important evolution when trying to organize the current literature on SC management. The widely used DTs in the practices and the most considered business processes and impacts are highlighted and described. The three-dimensional conceptual framework is graphically represented to allow for the emergence of the best combinations of DT, business process and impact on SC performance. These combinations suggest the most promising areas for the implementation of the emerging practices for SC digitalization and unphysicalization. Additional findings identify and define the most important contexts in which Big Data contributes to SC performance.

The research methodology used is offering progress through which to systemize the current practices as well as detect the potential of digitalization and unphysicalization under the three-dimensional conceptual framework. The paper provides a structured proposal for promising future research directions, assuming that the five research gaps as findings of this research could be the basis for prescriptions, as well as a future research agenda and theory development. Moreover, this research contributes to current managerial issues concerning SC management, referred to data and information management, efficiency and productivity of SC processes, market performance, SC relationship management and risk management in SC.

The ecological environment of the Loess Plateau, China, is extremely fragile under the context of global warming. Over the past two decades, the vegetation of the Loess Plateau has undergone great changes. This paper aims to clarify the response mechanisms of vegetation to climate change, to provide support for the restoration and environmental treatment of vegetation on the Loess Plateau.

The Savitsky–Golay (S-G) filtering algorithm was used to reconstruct time series of moderate resolution imaging spectroradiometer (MODIS) 13A2 data. Combined with trend analysis and partial correlation analysis, the influence of climate change on the phenology and enhanced vegetation index (EVI) during the growing season was described.

The S-G filtering algorithm is suitable for EVI reconstruction of the Loess Plateau. The date of start of growing season was found to gradually later along the Southeast–Northwest direction, whereas the date of the end of the growing season showed the opposite pattern and the length of the growing season gradually shortened. Vegetation EVI values decreased gradually from Southeast to Northwest. Vegetation changed significantly and showed clear differentiation according to different topographic factors. Vegetation correlated positively with precipitation from April to July and with temperature from August to November.

This study provides technical support for ecological environmental assessment, restoration of regional vegetation coverage and environmental governance of the Loess Plateau over the past two decades. It also provides theoretical support for the prediction model of vegetation phenology changes based on remote sensing data.

The purpose of this paper is to construct a digital collection and database of traditional clothing that is convenient for the digital dissemination and application of traditional clothing and provide resources for research on clothing fashion, traditional clothing techniques, clothing culture, history and clothing teaching.

A real object analysis method was used in this paper, based on 15 core elements of the internationally common DC metadata standard, and with consideration to the characteristics of clothing products and clothing industry application specifications, the core elements of DC are expanded to facilitate the detailed record of the characteristic information of clothing, especially the implicit clothing culture. A code symbol compilation method was developed to give each piece of clothing a unique number, facilitating identification, classification and recording. At last, a metadata construction scheme for traditional clothing was developed. A traditional embroidered children's hat and Mamianqunt serve as examples to demonstrate the metadata elements.

The clothing meta-database provides a main body of traditional clothing while also paying attention to the collection of cultural elements. It is composed of five layers of classified data, source data, characteristic data, connotation data and management data, as well as 28 data elements, providing ease of sharing and interoperation.

This paper expands the subset of fashion metadata by describing traditional clothing metadata, especially the excavation of clothing cultural elements, and developing code compilation methods so that each clothing product can obtain a unique identification number, thereby building a traditional clothing metadata construction scheme consisting of five data layers and containing 28 data elements. This scheme records the information about each layer of traditional clothing in detail and provides shared data for discipline research and industry applications.

This paper aims to analyse how emerging technologies (ETs) impact on improving performance in disaster management (DM) processes and, concretely, their impact on the performance according to the different phases of the DM cycle (preparedness, response, recovery and mitigation).

The methodology is based on a systematic review of the literature. Scopus, ProQuest, EBSCO and Web of Science were used as data sources, and an initial sample of 373 scientific articles was collected. After abstracts and full texts were read and refinements to the search were made, a final corpus of 69 publications was analysed using VOSviewer software for text mining and cluster visualisation.

The results highlight how ETs foster the preparedness and resilience of specific systems when dealing with different phases of the DM cycle. Simulation and disaster risk reduction are the fields of major relevance in the application of ETs to DM.

This paper contributes to the literature by adding the lenses of performance measurement, management and accountability in analysing the impact of ETs on DM. It thus represents a starting point for scholars to develop future research on a rapidly and continuously developing topic.

This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research trends, by applying scientometrics.

A total of 1,646 articles, published between 1985 and 2021, concerning research on the application of ML and AI in cultural heritage were collected from the Scopus database and analyzed using bibliometric methodologies.

The findings of this study have shown that although there is a very important increase in academic literature in relation to AI and ML, publications that specifically deal with these issues in relation to cultural heritage and its conservation and preservation are significantly limited.

This study enriches the academic outline by highlighting the limited literature in this context and therefore the need to advance the study of AI and ML as key elements that support heritage researchers and practitioners in conservation and preservation work.

As global warming intensifies, climatic conditions are changing dramatically, potentially affecting specific businesses and cities’ livability. The temperature increase in cities significantly affects urban residents whose percentage is to reach about 70% by 2050. This paper aimed at highlighting the climate change risks in cities, particularly focusing on the threats to people’s health due to a continuous temperature increase.

This study was conducted in three main steps. First, the literature review on the effects of climate change, particularly on the continuous temperature rise in cities, was conducted based on the publications retrieved from PubMed, Science Direct, Google Scholar and Research Gate. Second, the survey was conducted for the sample cities for one month. Third, the questionnaire was used to assess possible climate change threats to the livability of cities.

The findings showed that urban areas are usually warmer than the surrounding rural areas, mainly due to the urban heat island effect, causing more hot days in metropolitan areas compared to rural areas. This paper outlines some mitigation and adaptation measures, which can be implemented to improve the livability in cities, their sustainability and the well-being of their populations.

This study reports on the climate change impacts on the health and livability of 15 cities, in industrialized and developing countries. It examines the average and maximum temperature and relative humidity of each city and its correlation with their livability. It was complemented by a survey focused on 109 cities from Africa, Asia, Europe, Latin America, North America and Oceania.

The purpose of this paper is to present the results of a critical analysis of the disability models developed to date and of how they function in practice. Furthermore, it aims to answer the following question: which model of disability (MD) will provide the most suitable foundation for any course of action undertaken in the process of planning accessible tourism development in the future?

In the first stage of the study a critical analysis of the MDs described in the literature as well as in selected reports and expert opinions relating to people with disability (PwD) was performer. These findings then became the basis for the second stage of the study which focuses on identifying attitudes within society towards the types of tourism on offer connected to the analysed MDs. The applied research methods include an analysis of a survey (2013, 2014) carried out face-to-face and on the SurveyMonkey web site. The study group consisted of 619 people (from Poland, Russia, Germany, Portugal, Slovakia, Canada, Tunisia and Great Britain).

The great diversity of disabilities makes finding a universal solution in the creation of accessible tourism supply a complex task. This supports the need for a flexible “mix of various models” aimed at finding optimal solutions and the personalisation of tourism. In this context the greatest potential in the development of accessible tourism are models which are a synthesis of many determiners of disability such as the biopsychosocial or the geographical model of disability. The dynamics of accessible tourism development is likely to be increasingly influenced by the economic model, reflecting current trends for the personalisation of tourism supply.

The survey was carried out mainly within the European Community, the exception being respondents from Irkutsk in eastern (Asian) Russia. In order to gain a global view of the development of accessible tourism, research should be performed in countries representing all continents or tourist regions. Additionally, reflecting the definition of accessible tourism its beneficiaries – PwD – should participate in decision-making processes. Tourism service providers who are directly engaged in tourism supply also have a role to play. Their opinions and attitudes towards the development of accessible tourism determine its very nature in reality.

The survey on attitudes in society regarding the organisation of tourist trips for PwD confirmed conclusions from the analysis of the practical implications of various disability models in the creation of tourism supply that a single universal, optimal solution does not exist. All of the described MD can be applied in the development of a diverse tourism supply. The proposed model “diversification of supply […]” is the theoretical basis for the conscious development of accessible tourism in practice which in accordance with changes observed in the tourism market is undergoing increasing diversification and personalisation.

In each of the tourism supply for PwD types the economic model of disability based on the identification of PwD needs and surrounding society is important. The number of PwD and the scope of necessary services, social support (PwD often travel accompanied by one to three people) is determined by income in all the sectors identified in the structure of tourism supply. From the economic point of view, awareness of different types of disability and the diverse models describing it are significant aids in the segmentation of tourism supply and placement of products accessible to PwD on the tourism market.

The paper presents a new, critical perspective on the selected MD, the key to which is the search for optimal solutions in the development of accessible tourism. The analysis performed indicated the need for a synthesis of paradigms at the core of the conceptualisation of particular models, including those often regarded as being contrary (medical and social). The results of studies would give tourism providers important data on an increasingly competitive tourism market, and also affect changes in how PwD, the elderly, are viewed, from the category of “relatively poor” to “attractive, using a wide range of services”.