Development of the Low-carbon City Indicator (LCCI) Framework

Tan, Sieting; Yang, Jin; Yan, Jinyue

doi:10.1016/j.egypro.2015.07.253

Cited by 38 publications

(19 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, the LCC development level may differ for different types of cities depending on the natural condition, resources endowment, and political situation of each city [57]. Therefore, a more detailed analysis could be conducted on a specific type of cities (e.g., economy-limited city, resource-limited city, or environment-limited city) in the future to obtain more effective management options.…”

Section: Recommendation For Further Analysis Of Lcc Development Levelmentioning

confidence: 99%

A holistic low carbon city indicator framework for sustainable development

et al. 2017

Self Cite

View full text Add to dashboard Cite

Section: Recommendation For Further Analysis Of Lcc Development Levelmentioning

confidence: 99%

A holistic low carbon city indicator framework for sustainable development

et al. 2017

Self Cite

View full text Add to dashboard Cite

“…Objective evaluation methods mainly use the correlation coefficient method, the entropy weight method, and the factor analysis method. Tan used the entropy weight method to evaluate the low-carbon development of 10 domestic and foreign cities, and Yi used the factor analysis method to make an empirical analysis of the development level of low-carbon cities in the six central provincial capitals in 2008 [10,37]. In general, the subjective evaluation method determines the importance of each index according to subjective judgment, which has the advantages of a clear concept, simplicity, and feasibility; however, it is more easily interfered with by subjective factors.…”

Section: Methodsmentioning

confidence: 99%

Standardization of the Evaluation Index System for Low-Carbon Cities in China: A Case Study of Xiamen

et al. 2018

View full text Add to dashboard Cite

The construction of a reasonable evaluation index system for low-carbon cities is an important part of China's green development strategy in urban areas. In this study, based on the theoretical framework for the concept of low-carbon cities, the perspectives from three index systems-that is, the Drivers, Pressures, State, Impact, Response model of intervention (DPSIR), a complex ecosystem, and a carbon source/sink process-were integrated to extract common indicators from existing evaluation index systems for low-carbon cities. Subsequently, a standardized evaluation index system for low-carbon cities that contained five indicators-carbon emission, low carbon production, low carbon consumption, low-carbon policy, and social economic development-was established. Thereafter, Xiamen was selected for an empirical analysis by determining the indicator weight with an entropy weight method and by carrying out a comprehensive evaluation using a linear summation model. The results showed that the weights of the five selected primary indicators for the evaluation of low-carbon cities were: low-carbon production > low-carbon consumption > social economic development > carbon emission > low-carbon policy. Among the secondary indicators, the average entropy weight of "pollution emission" was the highest at 0.1591, while the average entropy weight of "urbanization rate" was the lowest at 0.0360. Furthermore, the comprehensive index of low-carbon development in 2015 was higher than that in 2010, while the rate of economic growth was greater than the growth rate of carbon emission, which indicated that the relative decoupling of economic growth from carbon emission was basically achieved.

show abstract

“…Quantifiable indicators under each criterion are then selected to measure smart city performance and compare it with the benchmarks [14]. Benchmark setting is important because it aims to sufficiently differentiate between cities of various performance.…”

Section: Smart City Criteria and Indicatorsmentioning

confidence: 99%

Towards a Generic Framework for Smart Cities

Azizalrahman¹,

Hasyimi²

2020

Smart Urban Development

View full text Add to dashboard Cite

Cities are formidable drivers of economic, social and cultural development but face a rising multitude of challenges: urban sprawl, transportation problems and climate change to mention but a few. Evolving concepts such as smart cities, sustainable communities and low carbon cities have been employed to formulate initiatives to tackle these challenges. Smart cities appear to address efficiency in reducing time, cost, and energy in delivering services-smart transportation, intelligent buildings, and green infrastructure with a view to reaching low carbon city development and eventually sustainability. This article attempts to construct a general framework for smart cities. First, the overall smart city system is depicted. Second, the dynamics of urban sector drivers in smart and low carbon cities are elucidated. Third, the performance of smart cities is measured in relation to low carbon development. By applying the smart city framework to the cities of Vienna, London, New York and Tokyo, the model proved robust and flexible. The investigation is concluded with policies to realign city plan and development policies.

show abstract

Development of the Low-carbon City Indicator (LCCI) Framework

Cited by 38 publications

References 7 publications

A holistic low carbon city indicator framework for sustainable development

A holistic low carbon city indicator framework for sustainable development

Standardization of the Evaluation Index System for Low-Carbon Cities in China: A Case Study of Xiamen

Towards a Generic Framework for Smart Cities

Contact Info

Product

Resources

About