Study on the Evaluation of Building Group Space Function - Wuhan Optics Valley Software Park for Example

2013 ◽  
Vol 368-370 ◽  
pp. 1901-1907
Author(s):  
Tian Tian ◽  
Yuan Yuan ◽  
Ruo Wen Hu
Keyword(s):  
Evaluation Index System ◽  
Evaluation Index ◽  
Function Evaluation ◽  
Industrial Park ◽  
Building Performance ◽  
Depth Analysis ◽  
Space Function ◽  
Spatial Parameters ◽  
Performance Evaluation Index ◽  
Software Park

This thesis from the perspective of building group space, through the in-depth analysis and expansion of evaluation elements and operating framework in the book Assessing Building performance, extracted building groups space performance evaluation index system: functional indicators. The land function mixture and analysis of accessibility constitutes the function evaluation. Finally introducing the basic data of Wuhan Optics Valley Software Park, mainly about its spatial parameters, has deeply analyzed and demonstrated by using technique. To provide reference of the later design and transformation of similar industrial park building group space.

scholarly journals User Experience Evaluation of Cross-Channel Consumption: Based on Grounded Theory and Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hua Yang ◽  
Huiying Wei ◽  
Xiang He ◽  
Yue Yan ◽  
Xiaoju Liu
Keyword(s):  
Neural Network ◽  
Grounded Theory ◽  
User Experience ◽  
Index System ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Theoretical Research ◽  
Evaluation Index ◽  
Channel Switching ◽  
Depth Analysis

With the rapid development of e-commerce technology, cross-channel consumption has become the mainstream mode of contemporary consumers. However, there are several problems of cross-channel consumption such as inconsistency of online and offline channel information and service, disfluency of channel switching which have brought adverse effects on user experience. The question arises here as to what factors influence user experience and how to build a scientific and effective evaluation index system. Different from previous studies based on sellers, this paper used grounded theory to analyze and summarize the evaluation index system of user experience under cross-channel consumption from the perspective of consumers. We summarized and refined four first level indexes which are “online platform attribute, offline entity attribute, channel switching attribute, and individual demand” and 13 second level indexes which are “platform operation, platform information, platform service, platform promotion, product quality, service quality, environment quality, channel consistency, channel switching cost, channel switching fluency, psychological expectation, personal interests and individual needs.” Then, we used BP neural network to build the evaluation model and trained and simulated the performance of the sample. The results show that the evaluation model has a good generalization ability and can effectively evaluate user experience under cross-channel consumption. Finally, implications and limitations are also discussed. This study helps to enrich the theoretical research on user experience and consumer behavior. It also provides targeted basis for in-depth analysis of cross-channel consumption behavior, establishment of user experience evaluation index system, and improving user experience and multichannel management of physical stores.

scholarly journals Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Huashan Zhan
Keyword(s):  
Big Data ◽  
Performance Evaluation ◽  
Research Method ◽  
Landscape Design ◽  
Simulation System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Bp Network ◽  
Performance Evaluation Index ◽  
Interactive Application

In order to improve the accuracy and efficiency of performance evaluation, the interactive application of virtual reality and intelligent big data in landscape design is proposed. Clara algorithm is used to mine the performance evaluation index data of landscape simulation design. The performance evaluation index system of landscape simulation system is established based on the data mined. BP network is used to build a comprehensive evaluation model. The expert scoring method is the evaluation index system scoring, which is used as the input of BP network, and the expected output is a neuron. The value of the neuron represents the comprehensive performance evaluation value of the landscape simulation system. The experimental results show that the evaluation results of the research method are consistent with the expert evaluation results, with high accuracy; with the increasing number of systems, the evaluation efficiency of the research method is faster.

Performance Evaluation of the Combination of Medical Care and Old-age Service in Old-age Institutions in China: A Two-stage DEA Approach

2020 ◽  
Author(s):  
Na Du ◽  
Man Yuan ◽  
Peng Wu ◽  
Zhiwu Li
Keyword(s):  
Performance Evaluation ◽  
Medical Care ◽  
Old Age ◽  
Elderly Care ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Two Stage ◽  
Care Services ◽  
Performance Evaluation Index ◽  
A Performance

Abstract Background: In the context of China’s aging population, comprehensive medical care, convenient diagnosis, comprehensive medical care and elderly care services are increasingly needed. But China's medical care and elderly care service system is still immature. This study aims to build a performance evaluation index/criteria system for the combination of medical care and elderly care services and present an empirical approach to assess them.Methods: A two-stage DEA approach is taken: 1) establish a performance evaluation index system for the combination of medical care and elderly care services, 2) adopt a two-stage DEA to evaluate the performance of 30 pension institutions in China, and 3) Determine and identify important criteria to improve the efficiency of pension institutions. Results: The results show that the two-stage DEA accounted for a relatively high affiance of medical and nursing care services, but resource allocation still needs to be further optimized. Institutions with ineffective DEA need to reduce the five factors of operations, management, fixed assets, technology and services in the input dimension. In the output dimension, the service evaluation effect and safety management effect need to be improved. The performance of combined old-age care and medical care in old-age institutions can be improved in terms of investment in fixed assets, methods of capital subsidies, supervision and management, as well as standardized operations.Conclusions: This study establish a performance evaluation index system for the combination of medical care and elderly care services and present a two-stage DEA empirical approach to evaluate the performance of 30 pension institutions in China, which provides the method supports for decision-makers and researchers in performing evaluation of pension institutions in China, outlines the suggestions in improving them.

Research on Innovation Performance Evaluation Index System of the Productive Service Industry Cluster Based on the Process of Network Innovation

2013 ◽  
Vol 869-870 ◽  
pp. 856-859
Author(s):  
Liang Hu Xu ◽  
Ming Cao ◽  
Qing Miao
Keyword(s):  
Performance Evaluation ◽  
Index System ◽  
Service Industry ◽  
Industrial Clusters ◽  
Innovation Performance ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Industry Cluster ◽  
Performance Evaluation Index ◽  
Performance Evaluation Index System

In this paper, from the perspective of network innovative process, we comes up with the basic assumption, that is, the network innovation can promote absorptive capacity of industrial clusters products so as to improve the innovation performance of the enterprises in cluster. On the basis of this, this paper adopts correlation analysis method to verify the influence extent of productive service industry cluster innovation network on innovation performance. Therefore, we find critical influencing factors of network nodes and set up the innovation performance evaluation index system of productive service industry cluster.

scholarly journals Kappa Analysis of Industrial Park Risk Evaluation Index System

2012 ◽  
Vol 45 ◽  
pp. 101-105
Author(s):  
Huang Wenhong ◽  
Hailong Wang ◽  
Xuesheng Li ◽  
Qifu Bao
Keyword(s):  
Index System ◽  
Risk Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Industrial Park
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