EMERG - Energy. Environment. Efficiency. Resources. Globalization

2020 ◽  
Keyword(s):  
Energy Environment

The Scenario Analysis of Carbon Emissions Based on Improved IPAT Model in China

2012 ◽  
Vol 616-618 ◽  
pp. 1484-1489 ◽  
Author(s):  
Xu Shan ◽  
Hua Wang Shao
Keyword(s):  
Carbon Dioxide ◽  
Economic Development ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Energy Structure ◽  
Low Carbon ◽  
Policy Scenario ◽  
Social And Economic Development ◽  
Energy Environment ◽  
Development Goals

The coordination development of economy-energy-environment was discussed with traditional environmental loads model, combined with "decoupling" theory. Considering the possibilities of social and economic development, this paper set out three scenarios, and analyzed quantitatively the indexes, which affected carbon dioxide emissions, including population, per capita GDP, industrial structure and energy structure. Based on this, it forecasted carbon dioxide emissions in China in future. By comparing the prediction results, it held that policy scenario was the more realistic scenario, what’s more it can achieve emission reduction targets with the premise of meeting the social and economic development goals. At last, it put forward suggestions to implement successfully policy scenario, from energy structure, industrial structure, low-carbon technology and so on.

scholarly journals Correlation and synergy analysis of urban economy–energy–environment system—A case study of Beijing

2021 ◽  
Author(s):  
Xianzhong Mu ◽  
Li Kong ◽  
Chuang Tu ◽  
Jian Chen ◽  
Guangwen Hu
Keyword(s):  
Urban Economy ◽  
System A ◽  
Energy Environment

Using Community Resources to Teach Public Policy

1984 ◽  
Vol 41 ◽  
pp. 1-8
Author(s):  
Keith J. Mueller
Keyword(s):  
Public Policy ◽  
Health Policy ◽  
Political Science ◽  
Community Resources ◽  
Alternative Instruction ◽  
Policy Studies ◽  
The Public ◽  
Energy Environment ◽  
Science Departments ◽  
Specific Health

The recent growth in policy studies curricula in political science departments affords increased opportunities for experimentation with alternative instruction modes. This article describes one innovation found to be appropriate for courses for which the instructor has access to experts in the policy being studied. In this example, community experts in health policy issues were used as resource persons to assist in discussion of specific health policy concerns. Other policy courses should be amenable to this format, including energy, environment, and economic development courses. Even without using community experts, the general format of weekly colloquiums could be replicated for other policy courses.The courses described herein is an upper division/graduate level course in American Health Policy. It is taught for one semester every other year as one of several topical courses in the public policy track within political science.

scholarly journals Exposing Emerging Trends in Smart Sustainable City Research Using Deep Autoencoders-Based Fuzzy C-Means

2021 ◽  
Vol 13 (5) ◽  
pp. 2876
Author(s):  
Anne Parlina ◽  
Kalamullah Ramli ◽  
Hendri Murfi
Keyword(s):  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Smart Cities ◽  
Detection Methods ◽  
Sustainable City ◽  
Fuzzy C Means ◽  
Progressive Development ◽  
Emerging Trends ◽  
Energy Environment ◽  
Non Negative Matrix Factorization

The literature discussing the concepts, technologies, and ICT-based urban innovation approaches of smart cities has been growing, along with initiatives from cities all over the world that are competing to improve their services and become smart and sustainable. However, current studies that provide a comprehensive understanding and reveal smart and sustainable city research trends and characteristics are still lacking. Meanwhile, policymakers and practitioners alike need to pursue progressive development. In response to this shortcoming, this research offers content analysis studies based on topic modeling approaches to capture the evolution and characteristics of topics in the scientific literature on smart and sustainable city research. More importantly, a novel topic-detecting algorithm based on the deep learning and clustering techniques, namely deep autoencoders-based fuzzy C-means (DFCM), is introduced for analyzing the research topic trend. The topics generated by this proposed algorithm have relatively higher coherence values than those generated by previously used topic detection methods, namely non-negative matrix factorization (NMF), latent Dirichlet allocation (LDA), and eigenspace-based fuzzy C-means (EFCM). The 30 main topics that appeared in topic modeling with the DFCM algorithm were classified into six groups (technology, energy, environment, transportation, e-governance, and human capital and welfare) that characterize the six dimensions of smart, sustainable city research.

scholarly journals Interdisciplinary Evaluation of Intersection Performances—A Microsimulation-Based MCDA

2021 ◽  
Vol 13 (4) ◽  
pp. 1859
Author(s):  
Kadir Diler Alemdar ◽  
Ahmet Tortum ◽  
Ömer Kaya ◽  
Ahmet Atalay
Keyword(s):  
Traffic Engineering ◽  
Traffic Management ◽  
Evaluation Criteria ◽  
Urban Traffic ◽  
Suitable Alternative ◽  
Order Preference ◽  
Energy Environment ◽  
Vehicle Delay ◽  
Hierarchy Process ◽  
Co Emission

Intersections are the most important regions in terms of urban traffic management. The intersection areas on the corridor should be analyzed together for consistency in traffic engineering. To do so, three intersections on the Vatan Street corridor in İstanbul, the most crowded city of Turkey, were examined. Various geometric and signal designs were performed for intersections and the most suitable corridor design was analyzed. The corridor designs were modeled with the PTV VISSIM microsimulation software. The most suitable corridor design was evaluated by using the results obtained from the microsimulation via analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) from multi criteria decision analysis (MCDA) methods. The evaluation criteria in the study are vehicle delay, queue length, stopped delay, stops, travel time, vehicle safety, CO emission, fuel consumption, and construction cost. As a result, the current and the most suitable alternative corridors were compared according to the comparison parameters and up to 80% improvements were observed. Thus, some advantages were obtained in terms of energy, environment, time, and cost.

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