Eco-efficiency analysis of the Municipality of Barcelona

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DOI:

https://doi.org/10.5821/ctv.8488

Keywords:

eco-efficiency, information, entropy, environment

Abstract

The evaluation of Eco-efficiency is to measure the benefits generated by the unit consumption of the system. By defining several ecological consumptions and the corresponding benefits that they produce, a relationship can be obtained to compare and analyze the efficiency of each object of the system to understand the general level of Eco-efficiency of the area through an integral evaluation, horizontal and vertical comparison, comparison intra-regional and inter-regional, and find differences between them and development trends. In this work, Eco-efficiency is analyzed at the district level in Barcelona and the Sant Martí district is chosen as an example to study Eco-efficiency at the neighborhood level. According to the definition of Eco-efficiency, Eco-efficiency is defined as the relationship between informative entropy (the total information it produces) and physical entropy (the value of ecological consumption), and eco-efficiency is obtained with the Shannon formula. To obtain informative entropy, a model is created with the economic activity data of the local ground floors and a visual map of urban complexity is made. For physical entropy, indicators of ecological consumption are identified as variables that fall into 3 categories: resource consumption, environmental pollution and social investment. The general database in Barcelona City Council is obtained and the most detailed data of districts and neighborhoods are estimated. To integrate the indicators, a matrix of the data is created and the entropy weighting method and the membership function are used, thereby obtaining the physical entropy of districts and neighborhoods. Then, eco-efficiency is calculated and the eco-efficiency ratio is analyzed at two levels. Finally, we compare Eco-efficiency between districts and neighborhoods, taking Sant Martí as a reference, which indicates that, although the evaluation objects are at different levels, there is some comparability.

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Published

2020-04-28