648 research outputs found

    The Framework of Technical Evaluation Indicators for Constructing Low-Carbon Communities in China

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    In recent years, in order to promote the construction of low-carbon communities (LCCs) in China, many scholars have proposed an evaluation indicator system of LCC. The existing indicator systems are mostly established from the macro perspective of environmental impact and resource conservation, but few are from the micro technical perspective. Thus, the aim of this study is to construct a micro technical evaluation indicator system for LCCs. Firstly, the index system was divided into three categories: low-carbon building, low-carbon transportation, and low-carbon environment. Then, the technical indicators were selected through empirical analysis. The indicator weights were assigned by the improved analytic hierarchy process (AHP) and the multi-level fuzzy comprehensive evaluation method was used as the evaluation method of the indicators. Finally, in order to examine the practicality of the indicator system, two typical communities in Tianjin and Shanghai were selected as case studies. The results showed that the indicator system gave a reasonable low-carbon level for the two communities, which was in line with the actual low-carbon construction status of each community. In addition, the evaluation results pointed out that the low-carbon community (LCC) in Tianjin needs to further strengthen the construction of the low-carbon environment, including community compactness, rainwater collection and utilization, and waste recycling. For the LCC in Shanghai, it was pointed out that the construction of the low-carbon building and low-carbon transportation needs to be strengthened. The indicator system can be used as a tool for urban planning and construction personnel to evaluate the construction progress and low-carbon degree of LCC

    Geo Data Science for Tourism

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    This reprint describes the recent challenges in tourism seen from the point of view of data science. Thanks to the use of the most popular Data Science concepts, you can easily recognise trends and patterns in tourism, detect the impact of tourism on the environment, and predict future trends in tourism. This reprint starts by describing how to analyse data related to the past, then it moves on to detecting behaviours in the present, and, finally, it describes some techniques to predict future trends. By the end of the reprint, you will be able to use data science to help tourism businesses make better use of data and improve their decision making and operations.

    Customer value assessment of Sichuan Mobile

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    The present research aims to contribute with the evaluation and a segmentation index criterion of the customer group value in order to improve knowledge to the telecommunication industry, in value assessment and in market subdivision based on customer value. This thesis gives practical instrument measure and guiding suggestions to a deeper customer value assessment, combining characteristics of the communication industry in China, based on outstanding domestic and foreign research results and taking the group customers of China Mobile Sichuan Company. A first brief crossing between theoretical backgrounds of customer value assessment, segmentation concept and group customer, allowed the selection and choices of the methodology and the variables that influence group customer value. The following empirical step complemented the development of the assessment index system to calculate the group customer value and the following cluster analysis. The results obtained included the industry experts' experience, which help the identification of the 14 factors that influence the group customer value and the data analysis from 2000 group customers, which has been extracted from the mobile BOSS system. Factor analysis and analytic hierarchy process (AHP) method are used to calculate weights of indexes. Finally, based on current value, potential value, social value and the total value, clusters with typical characteristics are discovered using K-means clustering method. And corresponding marketing strategy is put forward.Esta tese avalia o Valor de grupos de clientes, no âmbito da grande empresa chinesa de telecomunicações móveis, a Sichuan Mobile. O presente estudo contribui para a análise da avaliação e segmentação de grupos de clientes, nomeadamente no mercado das telecomunicações. Este, sugere, ainda, um instrumento prático de medida; um índice de medida do valor de grupo de clientes é proposto e construído com base em análise de dados secundários do sector e do mercado chinês e primários baseados opiniões de peritos do sector e de resposta a um inquérito dos grupos de clientes da China Mobile. Após uma breve revisão do enquadramento teórico de conceitos inseridos na Gestão do Marketing, como Valor do Cliente, Segmentação e cliente-grupo, foram analisadas e seleccionadas as opções metodológicas e as variáveis que podem influenciar a avaliação do valor de um grupo de clientes. O desenvolvimento do índice de ponderação do valor de grupo de clientes foi elaborado após vários passos. Em primeiro lugar foram identificados, junto de peritos do sector, 14 factores que influenciam a avaliação do valor de grupo de clientes; Depois, efectuou-se um inquérito a 2000 grupos de clientes, retirados do sistema móvel BOSS da empresa Sichuan Mobile. Por fim realizou-se à base de dados obtida análises estatísticas como Análise Factorial e de Hierarquia (AHP), métodos que permitiram obter a ponderação do índice. Finalmente, com base no índice de valor corrente, valor potencial, valor social e valor total foram identificados os clusters. A análise destes clusters permitiu ainda sugerir estratégias de marketing em adaptação a cada cluster

    How analytical hierarchy process prioritizing internet banking influencing factors? a research study

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    Internet banking is a method for conducting financial transactions online that makes use of the internet as a platform. Customers could transact at any time and from any location. Numerous aspects relating to the adoption of internet banking have been analyzed and studied in recent in-depth studies from the literature. This paper will merge these numerous predefined factors into a model by drawing on the various ideas related to the acceptance model. It was decided to adapt the analytical hierarchy process (AHP) method for finding the important numerous components for the model. The finest mathematical calculation method is AHP, which enables decision-makers to prioritize their ranking in order to satisfy various criteria. The goal of this research is to rank the elements that influence the use of online banking. Three main factors such as technical information, website and service availability were chosen as the main factors of the model based on the literature review. Sub-factors such as ease of use, responsiveness, privacy, reliability, security, communication and efficiency were also suggested and combined into a single integrated framework. Utilizing the systematic literature review (SLR) methodology, several factors were found. As a result, the article will enhance understanding of the unique elements supporting the adoption of internet banking

    Risk assessment and control of passenger transportation on water in Shanghai Port area

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    Assessing Community Resilience to Urban Flooding in Multiple Types of the Transient Population in China

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    While various measures of mitigation and adaptation to climate change have been taken in recent years, many have gradually reached a consensus that building community resilience is of great significance when responding to climate change, especially urban flooding. There has been a dearth of research on community resilience to urban floods, especially among transient communities, and therefore there is a need to conduct further empirical studies to improve our understanding, and to identify appropriate interventions. Thus, this work combines two existing resilience assessment frameworks to address these issues in three different types of transient community, namely an urban village, commercial housing, and apartments, all located in Wuhan, China. An analytic hierarchy process–back propagation neural network (AHP-BP) model was developed to estimate the community resilience within these three transient communities. The effects of changes in the prioritization of key resilience indicators under different environmental, economic, and social factors was analyzed across the three communities. The results demonstrate that the ranking of the indicators reflects the connection between disaster resilience and the evaluation units of diverse transient communities. These aspects show the differences in the disaster resilience of different types of transient communities. The proposed method can help decision makers in identifying the areas that are lagging behind, and those that need to be prioritized when allocating limited and/or stretched resources

    Secure and Sustainable Energy System

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    This special issue aims to contribute to the climate actions which called for the need to address Greenhouse Gas (GHG) emissions, keeping global warming to well below 2°C through various means, including accelerating renewables, clean fuels, and clean technologies into the entire energy system. As long as fossil fuels (coal, gas and oil) are still used in the foreseeable future, it is vital to ensure that these fossil fuels are used cleanly through abated technologies. Financing the clean and energy transition technologies is vital to ensure the smooth transition towards net zero emission by 2050 or beyond. The lack of long‐term financing, the low rate of return, the existence of various risks, and the lack of capacity of market players are major challenges to developing sustainable energy systems.This special collected 17 high-quality empirical studies that assess the challenges for developing secure and sustainable energy systems and provide practical policy recommendations. The editors of this special issue wish to thank the Economic Research Institute for ASEAN and East Asia (ERIA) for funding several papers that were published in this special issue

    Sustainable Smart Cities and Smart Villages Research

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    ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms. [There is ever more research on smart cities and new interdisciplinary approaches proposed on the study of smart cities. At the same time, problems pertinent to communities inhabiting rural areas are being addressed, as part of discussions in contigious fields of research, be it environmental studies, sociology, or agriculture. Even if rural areas and countryside communities have previously been a subject of concern for robust policy frameworks, such as the European Union’s Cohesion Policy and Common Agricultural Policy Arguably, the concept of ‘the village’ has been largely absent in the debate. As a result, when advances in sophisticated information and communication technology (ICT) led to the emergence of a rich body of research on smart cities, the application and usability of ICT in the context of a village has remained underdiscussed in the literature. Against this backdrop, this volume delivers on four objectives. It delineates the conceptual boundaries of the concept of ‘smart village’. It highlights in which ways ‘smart village’ is distinct from ‘smart city’. It examines in which ways smart cities research can enrich smart villages research. It sheds light on the smart village research agenda as it unfolds in European and global contexts.

    Sustainable Construction Engineering and Management

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    This Book is a Printed Edition of the Special Issue which covers sustainability as an emerging requirement in the fields of construction management, project management and engineering. We invited authors to submit their theoretical or experimental research articles that address the challenges and opportunities for sustainable construction in all its facets, including technical topics and specific operational or procedural solutions, as well as strategic approaches aimed at the project, company or industry level. Central to developments are smart technologies and sophisticated decision-making mechanisms that augment sustainable outcomes. The Special Issue was received with great interest by the research community and attracted a high number of submissions. The selection process sought to balance the inclusion of a broad representative spread of topics against research quality, with editors and reviewers settling on thirty-three articles for publication. The Editors invite all participating researchers and those interested in sustainable construction engineering and management to read the summary of the Special Issue and of course to access the full-text articles provided in the Book for deeper analyses

    River Ecological Restoration and Groundwater Artificial Recharge

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    Three of the eleven papers focused on groundwater recharge and its impacts on the groundwater regime, in which recharge was caused by riverbed leakage from river ecological restoration (artificial water replenishment). The issues of the hydrogeological parameters involved (such as the influence radius) were also reconsidered. Six papers focused on the impact of river ecological replenishment and other human activities on river and watershed ecology, and on groundwater quality and use function. The issues of ecological security at the watershed scale and deterioration of groundwater quality were of particular concern. Two papers focused on water resources carrying capacity and water resources reallocation at the regional scale, in the context of the fact that ecological water demand has been a significant topic of concern. The use of unconventional water resources such as brackish water has been emphasized in the research in this issue
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