Analysis on the effectiveness of indicators for evaluating urban carrying capacity: A popularity-suitability perspective

Liu, Zhi; Ren, Yitian; Shen, Liyin; Liao, Xia; Wei, Xiaoxuan; Wang, Jinhuan

doi:10.1016/j.jclepro.2019.119019

Cited by 47 publications

(16 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In some situations, the larger the value of some indexes, the worse the effectiveness is [ 53 ]. Moreover, the closer some indexes are to the middle range, the better the effectiveness is and the more they are above or below the middle range, the worse the effectiveness is [ 54 ].…”

Section: An Improved Effectiveness Evaluation Methods Based On Factor Analysismentioning

confidence: 99%

Effectiveness Evaluation Method of Application of Mobile Communication System Based on Factor Analysis

Jia

Zhou

2021

Sensors

View full text Add to dashboard Cite

The application mode of army mobile communication networks is closely related to combat mission and application environment. Different combat missions and application environments result in different network structures and different service priorities, which requires a semi-automatic system to support the network scheme design. Therefore, evaluating the efficiency of network schemes generated by automatic planning is a problem that needs to be urgently addressed. In the past, researchers have proposed a variety of methods to evaluate the effectiveness of mobile communication systems, most of which are based on simulation methods and ignore the historical data of network usage. This paper studies an effectiveness evaluation method of mobile communication network design schemes and proposes a design scheme for the evaluation and optimization of network plans. Furthermore, the improved method of effectiveness evaluation based on factor analysis is discussed in detail. The method not only effectively uses historical data but also reduces the amount of data collection and calculation. In order to adapt to the preference requirements of different task scenarios, a decision preference setting method based on cluster analysis is proposed, which can render the output optimization result more reasonable and feasible.

show abstract

Section: An Improved Effectiveness Evaluation Methods Based On Factor Analysismentioning

confidence: 99%

Effectiveness Evaluation Method of Application of Mobile Communication System Based on Factor Analysis

Jia

Zhou

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…It is imperative that the identified indicators must comprehensively measure the progress towards identified goals of sustainability of the transport systems (Litman, 2007;Marsden & Snell, 2009). The selected indicators must be in compliance with the internationally recognized criteria of comprehensiveness, clarity, policy relevance and informative accessibility for smart and sustainable mobility operations (Liu et al, 2020). They must be primarily consistent in addressing the issues raised in the selected domain of sustainability in the transport sector (Litman, 2013).…”

Section: Selection and Variability Of The Indicatorsmentioning

confidence: 99%

Evaluating sustainable urban transport systems: A Review study for the identification of smart mobility indicators

Ali¹

2021

ToTS

View full text Add to dashboard Cite

Urban transport sustainability is of prime importance for achieving desired urban outcomes which impact economic, social and accessibility dimensions. In many of the growing cities, everyday mobility is influenced by several factors which hinder sustainable and smart transport operations. This study is aimed at identifying the indicators to measure the sustainability of the transport systems, with special focus on urban mobility. A systematic literature review was conducted for this purpose, between 2000 and 2019, from databases including Scopus, Web of Science, KCI-Korean Journal Database, Russian Science Citation Index, and SciELO Citation Index. An assessment of the economic, social, and accessibility indicators of sustainability on urban transport systems was carried out. This research work has allowed the identification of the main indicators of sustainability referred by different researchers in the field of urban transport systems. Based on the careful bibliographic analysis, a set of the identified indicators is proposed so that reviewed indicators can be utilized more objectively and accurately for smart urban mobility patterns. This review study can be helpful in assisting researchers who are exploring to evaluate sustainability perspectives in urban transport systems.

show abstract

“…The CSI index was used to measure the sustainable tourismization level in China (Table 3). We considered index systems and indicators used in previous research, such as tourismization indicators [11,15,53,56], tourism sustainability indicators [60][61][62][63], and sustainable urban development indicators [64,65]. A total of 17 representative indicators were selected, including socio-cultural, economic, environmental indicators and tourism-related indicators.…”

Section: Comprehensive Evaluation Index System Of Sustainable Tourismizationmentioning

confidence: 99%

Comprehensive Evaluation of the Provincial Sustainable Tourismization Level in China and Its Temporal and Spatial Differences

Hui

2021

Sustainability

View full text Add to dashboard Cite

Sustainable tourismization is a favorable development mode and pathway for the promotion of the coordinated development of the economy, society, and ecology. Based on the connotations of tourismization, a comprehensive evaluation index system of sustainable tourismization was constructed. This system consists of three dimensions: consumption tourismization, spatial tourismization, and industrial tourismization. The level, spatial, and temporal distribution characteristics, and differences in sustainable tourismization among China’s provinces from 2009 to 2018 were measured and analyzed using the improved entropy method, the Theil index, a spatial autocorrelation analysis, and other methods. It was found that the level of provincial sustainable tourismization in China has steadily increased over time, with the eastern region taking the lead. The overall differences and inter-regional differences in terms of the provincial sustainable tourismization level have generally decreased year-by-year. The intraregional differences within the eastern region were found to be the largest, and the rate of contribution of inter-regional differences to overall differences was shown to decrease gradually, while the rate of contribution of intraregional differences within the western region increased gradually. A positive spatial correlation in the provincial sustainable tourismization level was identified, and the spatial agglomeration effect showed an increasing trend. The spatial dependence was mainly characterized by “high–high” (HH) agglomeration, showing a ladder difference of “higher in the east and lower in the west”. The results of this study were used to identify where emphasis should be placed in terms of policy and strategy.

show abstract

Analysis on the effectiveness of indicators for evaluating urban carrying capacity: A popularity-suitability perspective

Cited by 47 publications

References 77 publications

Effectiveness Evaluation Method of Application of Mobile Communication System Based on Factor Analysis

Effectiveness Evaluation Method of Application of Mobile Communication System Based on Factor Analysis

Evaluating sustainable urban transport systems: A Review study for the identification of smart mobility indicators

Comprehensive Evaluation of the Provincial Sustainable Tourismization Level in China and Its Temporal and Spatial Differences

Contact Info

Product

Resources

About