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Cities face a great number of challenges nowadays, in order to guarantee their appeal and quality of life of their citizens. It’s therefore fundamental to improve decision making processes, incorporating public opinion to them. Thus, citizen participation is a tool that clearly improves local governance and the decision-making process, as it allows policy makers to know first-hand their needs, demands and ideas. Nevertheless, the advantages of consulting the public on crucial issues are counterbalanced by many difficulties in managing the participation processes. Mainly due to the fact that participants in these processes, are not often aware of the economic, social and environmental implications of their decisions. The incorporation of new technologies in the decision-making process, can clearly help to overcome these difficulties. A software can display in real time the effect of the changes to the public space, under different variables and quality of life indexes. This research, through the incorporation of a software that helps in the space decision making to various group dynamics, analyses the usage of public participation and its effect.

A simple, sensitive, and specific capillary electrophoretic method based on 1-phenyl-3-methyl-5-pyrazolon (PMP) derivatization has been developed for simultaneous separation and determination of 11 aldoses (maltose, xylose, arabinose, ribose, glucose, rhamnose, fucose, galactose, mannose, glucuronic acid, and galacturonic acid). The separation of PMP-labeled maltose and monosaccharides was carried out under the selected optimum conditions with pH 11.0, 200 mM borate buffer containing 4% methanol at voltage 20 kV, and capillary temperature 25°C, and the 11 PMP aldoses could be perfectly separated from each other within 41 min. Our experiment results demonstrated that the molar ratios of carbohydrates in 10 kinds of honey were greatly different, and the carbohydrates’ constitutions varied greatly between commodity honey and natural honey. This proposed zone electrophoresis method provides an accurate and economic alternative for monosaccharide and maltose analysis to identify honeys, and can also be applied to routine detection of reducing carbohydrates in real-life samples.