scholarly journals Exploring Factors Influencing Scenarios Evolution of Waste NIMBY Crisis: Analysis of Typical Cases in China

2021 ◽  
Vol 18 (4) ◽  
pp. 2006
Author(s):  
Ling He ◽  
Qing Yang ◽  
Xingxing Liu ◽  
Lingmei Fu ◽  
Jinmei Wang
Keyword(s):  
Network Theory ◽  
Development Process ◽  
Dynamic Bayesian Network ◽  
Impact Factors ◽  
Social Stability ◽  
Ground Theory ◽  
Evolution Path ◽  
Dynamic Scenario ◽  
The Impact

As the impact factors of the waste Not-In-My-Back Yard (NIMBY) crisis are complex, and the scenario evolution path of it is diverse. Once the crisis is not handled properly, it will bring adverse effects on the construction of waste NIMBY facilities, economic development and social stability. Consequently, based on ground theory, this paper takes the waste NIMBY crisis in China from 2006 to 2019 as typical cases, through coding analysis, scenario evolution factors of waste NIMBY crisis are established. Furtherly, three key scenarios were obtained, namely, external situation (E), situation state (S), emergency management (M), what is more, scenario evolution law of waste NIMBY crisis is revealed. Then, the dynamic Bayesian network theory is used to construct the dynamic scenario evolution network of waste NIMBY crisis. Finally, based on the above models, Xiantao waste NIMBY crisis is taken as a case study, and the dynamic process of scenario evolution network is visually displayed by using Netica. The simulation results show that the scenario evolution network of Xiantao waste NIMBY crisis is basically consistent with the actual incident development process, which confirms the effectiveness and feasibility of the model.

The impact of bike network indicators on bike kilometers traveled and bike safety: A network theory approach

2020 ◽  
pp. 239980832096446
Author(s):  
Mohamed Bayoumi Kamel ◽  
Tarek Sayed
Keyword(s):  
Network Theory ◽  
Bayesian Modeling ◽  
Crash Risk ◽  
Network Centrality ◽  
Theory Approach ◽  
Vehicle Crashes ◽  
Spatial Effects ◽  
The Impact ◽  
The City

There has been recent interest in the use of network analysis to quantify bike network features and their impact on biking levels and safety. However, limited bike network indicators have been evaluated. This study introduces a list of network indicators to quantify the bike network and study its effect on bike kilometers traveled and bike–vehicle crashes. Data from the city of Vancouver, Canada, are used as a case study. Full Bayesian modeling incorporating spatial effects is employed to develop Bike Kilometers Travelled (BKT) and bike–vehicle crash models. The developed BKT models show that the bike network centrality, assortativity, and weighted slope have negative associations with BKT, while the bike network directness, length, complexity and development, and connectivity have positive associations with BKT. The developed crash models show that the bike network length, centrality, assortativity, and continuity have negative associations with bike–vehicle crashes. On the other hand, the bike network complexity and development, connectivity, and linearity have positive associations with bike–vehicle crashes. The models provide insights that can be useful for planning bike networks to increase bike traffic and improve bike safety. The models also show that some changes to a bike network to increase bike traffic should be accompanied by crash risk-mitigating measures. As well, the models can be used to identify zones within a city that require safety improvements.

Towards Measuring the Change Impact in ATL Model Transformations

2016 ◽  
Vol 26 (02) ◽  
pp. 153-181 ◽  
Author(s):  
Andreza Vieira ◽  
Franklin Ramalho
Keyword(s):  
Software Development ◽  
Static Analysis ◽  
Development Time ◽  
Development Process ◽  
Model Transformations ◽  
Software Development Process ◽  
Model Driven ◽  
Change Impact ◽  
The Impact

The Model-Driven Development (MDD) approach shifts the focus on code to models in the software development process. In MDD, model transformations are elements that play an important role. MDD-based projects evolve along their lifecycle in a way that changes in their transformations are frequent. Before applying changes it is important to measure their impacts within the transformation. However, currently no technique helps practitioners in this direction. We propose an approach to measure the change impact in ATL model transformations. Based on static analysis, it detects the elements impacted by a change and calculates the change impact value through three metrics we defined. By using our approach, practitioners can (i) save effort and development time since the elements impacted with the change are automatically detected and (ii) better schedule and prioritize changes according to the impact value. To empirically evaluate our approach we conducted a case study.

scholarly journals Case Study: The 24/7 Study Advice Workshop

2014 ◽  
Author(s):  
Michelle Reid ◽  
Kim Shahabudin ◽  
Sonia Hood
Keyword(s):  
Student Engagement ◽  
Development Process ◽  
Distance Learners ◽  
Building Recognition ◽  
Part Time ◽  
Learning Development ◽  
Key Aspects ◽  
The University ◽  
The Impact

With a rise in demand for learning development services, coupled with an increasinglydivergent cohort of students (part-time; international; distance learners and students withextra commitments), there is a clear need to look for creative ways to meet the challengesof this growing and changing need. To meet this challenge the Study Advice team at the University of Reading embarked on a project using screencasting to create a suite of videotutorials that focused on key aspects of study. This paper discusses the inspiration for theproject, the development process undertaken and the impact and effectiveness of theresources created. The content was developed through a process of experimentation andextensive team reviewing and refinement, through which we (the Study Advice team)learnt how to effectively create, record and disseminate our resources. The benefits werefar wider reaching than the initial project scope, with implications for capacity building;recognition; profile-raising and student engagement.

scholarly journals Relações semânticas em ontologias: estudo de caso do Blood Project | Semantic relations on ontologies: the case study of the Blood Project

2010 ◽  
Vol 6 (2) ◽  
Author(s):  
Maurício Barcellos Almeida ◽  
Lívia M.D.Teixeira ◽  
Kátia Cardoso Coelho ◽  
Renato R. Souza
Keyword(s):  
Natural Language Processing ◽  
Language Processing ◽  
Development Process ◽  
Information Science ◽  
Information Organization ◽  
Semantic Relations ◽  
Medical Texts ◽  
Automatic Tool ◽  
The Impact

Resumo Nos últimos anos, a pesquisa em ontologias tem recebido destaque pelas possibilidades que oferece na organização da informação. No desenvolvimento de ontologias, a fase de conceitualização merece atenção especial por sua importância e complexidade. Esse artigo busca investigar possibilidades de melhorias na fase de conceitualização, adotando aportes da Linguística para verificar variações na semântica das relações entre termos. Apresenta-se uma proposta que abrange: i) um esquema linguístico para identificar relações semânticas em um texto; ii) o uso de uma ferramenta automática para extração de termos de textos médicos; iii) uma avaliação realizada por médicos sobre quais relações seriam mais adequadas. Investiga-se a existência de variações significativas na semântica das relações, o impacto dessa variação no desenvolvimento de ontologias e a validade das relações obtidas. Espera-se contribuir através de novas possibilidades na construção de instrumentos de organização da informação, bem como fornecendo alternativas para os profissionais envolvidos.Palavras-chave ontologias, Ciência da Informação, processamento de linguagem natural, relações semânticas, organização da informação.Abstract In the last years, research on onthologies has received much attention because of the possibilities it offers regarding information organization. During the onthology development process, the phase of conceptualization deserves special attention on account of its importance and complexity. This paper investigates possible improvements in the phase of conceptualization, relying on linguistics theories to verify variations of semantic relations among terms. We present a proposal including: i) a linguistic-based schema which identifies semantic relations in texts; ii) the use of an automatic tool which extracts terms from medical texts; iii) an assessment conducted with physicians requesting which relations are more appropriate. We investigate the possibility of significant variations in the semantic of those relations, the impact of such variation on the development of onthologies and the validity of the obtained relations. We hope to offer new possibilities regarding the construction of information organization instruments, as well as providing alternatives to involved professionals.Keywords onthologies, Information Science, natural language processing, semantic relations, information organization

scholarly journals Factors impacting community’s prioritization towards the benefits of Sustainable Urban Drainage Systems: A case study of Nhieu Loc – Thi Nghe sub-basin, Ho Chi Minh City

2020 ◽  
Vol 4 (4) ◽  
pp. First
Author(s):  
Nguyen Hoang My Lan ◽  
Ho Huu Loc ◽  
Phan Dinh Bich Van ◽  
Vo Le Phu ◽  
Le Van Trung
Keyword(s):  
Statistical Tests ◽  
Drainage System ◽  
Impact Factors ◽  
Urban Drainage ◽  
Run Off ◽  
Spss Software ◽  
The Impact ◽  
Priority Levels ◽  
Data Processing Methods

Sustainable Urban Drainage System (SUDS) includes various drainage techniques designed to reduce the run-off flow, improve the water quality, and provide amenity or landscape features. However, selecting the appropriate SUDS technique depends on not only the technical characteristics but also the community's perception and preference. Therefore, this study aims to determine the impact factors on the probability of households' prioritization towards SUDS benefits in the context of Nhieu Loc - Thi Nghe sub-basin, including the benefits of flood reduction, environmental enhancement, and landscape improvement. Data processing methods used in this study consist of statistical tests and ordinal regression using SPSS software. The regression results show that the overall accurate prediction rate for the 3 priority levels of SUDS benefits ranges from 50% to 70%. Factors that statistically significantly influence the priority include household income, knowledge of SUDS, frequency of flooding, depth of flooding, the distance to the nearest park, the distance to the nearest water body, and the distance to the nearest flooded location. In particular, the proximity to the nearest park affects the priority choice for all SUDS benefits with the principle that households near the park will probably choose higher priority to SUDS benefits than those living further.

scholarly journals ANALYZING IMPACT FACTORS OF AIRPORT TAXIING DELAY BASED ON ADS-B DATA

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1251-1255 ◽  
Author(s):  
J. Li ◽  
X. Wang ◽  
Y. Xu ◽  
Q. Li ◽  
C. He ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Delay Time ◽  
Environmental Data ◽  
Impact Factors ◽  
The Impact ◽  
The Relationship

Identifying the factors that cause taxiing delay on airports is a prerequisite for optimizing aircraft taxiing schemes, and helps improve the efficiency of taxiing system. Few of current studies had quantified the potential influencing factors and further investigated their intrinsic relationship. In view of these problems, this paper uses ADS-B data to calculate taxiing delay time by restoring taxiing route and identifying key status points, and further analyzes the impact factors of airport taxiing delay by investigating the relationship between delay time and environmental data such as weather, wind, visibility etc. The case study in Guangzhou Baiyun Airport validates the effectiveness of the proposed method.

scholarly journals Aquaculture promotion through Agricultural Technology Management Agency - a case study in Kerala

2016 ◽  
Vol 63 (3) ◽  
Author(s):  
Nisha Elizabeth Joshua ◽  
S.N. Ojha
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Technology Management ◽  
Fish Farming ◽  
Agricultural Technology ◽  
Impact Factors ◽  
Chain Management ◽  
Management Agency ◽  
The Impact

 　Agricultural Technology Management Agency (ATMA) is an autonomous body that has linkage with all the line departments, like Department of Fisheries (DoF), that works towards raising farmer’s income and involved in formulation of suitable strategies for empowering the farmers. In this study, ATMA impact factors among fish farmers were reviewed and discussed with the local officers. The impact factors considered were the types of culture, number of species cultured, yield disposition, marketing and expenditure in fish farming. It was observed, from a sample of 225 fish farmers, that Alappuzha, Ernakulam and Kollam districts responded more towards ‘type of culture’ and less towards ‘marketing’, whereas Kottayam and Thrissur districts responded more towards marketing. Among all the impact factors, expenditure on aquaculture was found to be significantly associated with income in all the five districts. This was followed by marketing (4 districts), yield disposition (3 districts), fish species cultured (3 districts) and type of culture (2 districts). On the contrary, it was observed that ATMA support was not similarly associated with these factors, especially for yield disposition and marketing in aquaculture. Therefore, suitable strategies are recommended to strengthen the supply chain management through ATMA.

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