scholarly journals An Evaluation Model to Quantify the Qualitative Smart Growth in Medium Population City

2017 ◽  
Keyword(s):  
Evaluation Model ◽  
Smart Growth

scholarly journals A Novel Evaluation Model for Urban Smart Growth Based on Principal Component Regression and Radial Basis Function Neural Network

2019 ◽  
Vol 11 (21) ◽  
pp. 6125
Author(s):  
Lianyan Li ◽  
Xiaobin Ren
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Rbf Neural Network ◽  
Evaluation Model ◽  
Smart Growth ◽  
Principal Component Regression ◽  
Principal Component ◽  
Self Organizing Map ◽  
Radial Basis

Smart growth is widely adopted by urban planners as an innovative approach, which can guide a city to develop into an environmentally friendly modern city. Therefore, determining the degree of smart growth is quite significant. In this paper, sustainable degree (SD) is proposed to evaluate the level of urban smart growth, which is established by principal component regression (PCR) and the radial basis function (RBF) neural network. In the case study of Yumen and Otago, the SD values of Yumen and Otago are 0.04482 and 0.04591, respectively, and both plans are moderately successful. Yumen should give more attention to environmental development while Otago should concentrate on economic development. In order to make a reliable future plan, a self-organizing map (SOM) is conducted to classify all indicators and the RBF neural network-trained indicators are separate under different classifications to output new plans. Finally, the reliability of the plan is confirmed by cellular automata (CA). Through simulation of the trend of urban development, it is found that the development speed of Yumen and Otago would increase slowly in the long term. This paper provides a powerful reference for cities pursuing smart growth.

scholarly journals The Analysis of the Urban Sprawl Measurement System of the Yangtze River Economic Belt, Based on Deep Learning and Neural Network Algorithm

2020 ◽  
Vol 17 (12) ◽  
pp. 4194 ◽  
Author(s):  
Huafang Huang ◽  
Xiaomao Wu ◽  
Xianfu Cheng
Keyword(s):  
Neural Network ◽  
Urban Sprawl ◽  
Measurement System ◽  
Yangtze River ◽  
Evaluation Model ◽  
Smart Growth ◽  
The Yangtze River ◽  
Construction Land ◽  
Urban Construction ◽  
Neural Network Algorithm

In the context of rapid urbanization, the spread of cities in the Yangtze River Economic Belt is intensifying, which has an impact on the green and sustainable development of these cities. It is necessary to establish an accurate urban sprawl measurement system. First, the regulation theory of urban sprawl is explained. According to the actual development situation of cities in the Yangtze River Economic Belt, smart growth theory is selected as the basic regulation method of urban sprawl. Second, the back propagation neural network (BPNN) algorithm under deep supervised learning is applied to construct a smart evaluation model of land use growth. Finally, based on the actual development of cities in the Yangtze River Economic Belt, the quantitative growth measurement method is selected to construct a measurement system of urban sprawl in the Yangtze River Economic Belt, and the empirical analysis is carried out. The training results show that the proposed BPNN smart growth evaluation model, based on deep supervised learning, has good evaluation accuracy, and the error is within the preset range. The analysis of the quantitative growth-based measurement system in the increase of urban construction land shows that the increase in urban construction land area of the Yangtze River Economic Belt from 2014 to 2019 was 78.67 km2. Meanwhile, the increases in urban construction land area in different years are different. The empirical results show that the population composition of the Yangtze River Economic Belt and the urban construction area between 2005 and 2019 show a trend of increasing annually; at the same time, urban sprawl development shows a staged characteristic. It is of great significance to apply deep learning fusion neural network algorithm in the construction of the urban sprawl measurement system, which provides a quantitative basis for the in-depth analysis and discussion of urban sprawl.

scholarly journals Quantitative Assessment of City’s Smart Growth Level in China Using Fuzzy Comprehensive Evaluation

2018 ◽  
Vol 175 ◽  
pp. 04023
Author(s):  
Jie Min ◽  
Baoquan Cheng ◽  
Shunxiang Gao ◽  
Zhenjie Luo ◽  
Kai Zhu ◽  
...  
Keyword(s):  
Quantitative Assessment ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Smart Growth ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Development Plan ◽  
Large Cities ◽  
Comprehensive Evaluation Model

In this paper we develop an indicator system to evaluate the Smart Growth Level based on 3E’s principles and calculate the Smart Growth Level of 70 mid-scale and large cities in China using fuzzy comprehensive evaluation model. We also divide these cities into four grades: outstanding, good, normal and terrible. The results are significant for governments to design a reasonable development plan.

scholarly journals Measuring the Smart Growth Spatial Performance in Developing City of Northwest China Plains Area

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jing Li ◽  
Hongwei Zhou ◽  
Zhongyuan Cai
Keyword(s):  
Evaluation Model ◽  
Smart Growth ◽  
Growth Efficiency ◽  
Northwest China ◽  
Scale Efficiency ◽  
Growth Trend ◽  
Spatial Efficiency ◽  
Rural Space ◽  
Spatial Performance ◽  
Urban Rural

“Smart growth” is an urban planning concept. In this paper, the overall urban-rural smart growth efficiency is explored, which serves as an indicator to effectively measure the allocation of urban-rural spatial resources and structural rationality of the urban-rural space. Taking a developing county city in northwest China plains area as an example, the urban-rural spatial efficiency system was established and the evaluation model constructed by using the data envelopment analysis (DEA)-slack-based measure (SBM) model. The model was used to empirically analyze the characteristics in 2000, 2010, and 2018. The results show that the urban-rural spatial efficiency of the urban-rural space degree of a county in northwest China plains area exhibits growth trend on the whole, and scale efficiency increases the most. The increase of technical efficiency promotes the growth of spatial performance, which is mainly manifested in the construction of industrial parks. Although urban and rural spatial performance has made great achievements, there are still problems. Results of the test for each city indicate that the method proposed in this study is, in fact, quite effective in evaluating the smart growth pattern for developing cities. Finally, the corresponding improvement social and economic policies’ strategy is proposed.

Moving From Interprofessional Education Toward Interprofessional Practice: Bridging the Translation Gap

2019 ◽  
Vol 4 (5) ◽  
pp. 971-976
Author(s):  
Imran Musaji ◽  
Trisha Self ◽  
Karissa Marble-Flint ◽  
Ashwini Kanade
Keyword(s):  
Interprofessional Education ◽  
Interprofessional Collaboration ◽  
Evaluation Model ◽  
Implementation Strategies ◽  
Future Research ◽  
Successful Implementation ◽  
Interprofessional Practice ◽  
Translational Model ◽  
Key Stakeholders ◽  
Clear Identification

Purpose The purpose of this article was to propose the use of a translational model as a tool for identifying limitations of current interprofessional education (IPE) research. Translational models allow researchers to clearly define next-step research needed to translate IPE to interprofessional practice (IPP). Method Key principles, goals, and limitations of current IPE research are reviewed. A popular IPE evaluation model is examined through the lens of implementation research. The authors propose a new translational model that more clearly illustrates translational gaps that can be used to direct future research. Next steps for translating IPE to IPP are discussed. Conclusion Comprehensive reviews of the literature show that the implementation strategies adopted to date have fostered improved buy-in from key stakeholders, as evidenced by improved attitudes and perceptions toward interprofessional collaboration/practice. However, there is little evidence regarding successful implementation outcomes, such as changed clinician behaviors, changed organizational practices, or improved patient outcomes. The authors propose the use of an IPE to IPP translational model to facilitate clear identification of research gaps and to better identify future research targets.

A fuzzy evaluation method of road vehicle automatic weighing instrument in dynamic force metrological performance

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1365-1372
Author(s):  
Xiaohui Mao ◽  
Liping Fei ◽  
Xianping Shang ◽  
Jie Chen ◽  
Zhihao Zhao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Dynamic Performance ◽  
Dynamic Force ◽  
Fuzzy Evaluation ◽  
Road Vehicle ◽  
Evaluation Standard ◽  
The Road ◽  
Metrological Performance

The measurement performance of road vehicle automatic weighing instrument installed on highways is directly related to the safety of roads and bridges. The fuzzy number indicates that the uncertain quantization problem has obvious advantages. By analyzing the factors affecting the metrological performance of the road vehicle automatic weighing instrument, combined with the fuzzy mathematics theory, the weight evaluation model of the dynamic performance evaluation of the road vehicle automatic weighing instrument is proposed. The factors of measurement performance are summarized and calculated, and the comprehensive evaluation standard of the metering performance of the weighing equipment is obtained, so as to realize the quantifiable analysis and evaluation of the metering performance of the dynamic road vehicle automatic weighing instrument in use, and provide data reference for adopting a more scientific measurement supervision method.

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