The Swedish research programme Urban Water has developed a concept of a multi-criteria basis intended to support decision-making for urban water and wastewater systems. Five criteria groups were established for sustainability assessment of urban water systems: Health and Hygiene, Environment, Economy, Socio-culture, and Technology. Each criterion requires a set of indicators corresponding to qu...

proposing a model to explain the concurrent decision making process in the labor and commodities markets in iranian urban households is the main objective of the present paper. the paper starts with introduction of the concepts of modem theories of family economics, with the view of expanding the scope of economics well into the households and it comes to conclusion with specification and fitti...

multi-criteria evaluation methods (mcem) have been widely used in the scientific arena as well as in urban and regional planning. the analytic network process (anp) is one the mcem that includes relevant tangible as well as intangible criteria and sub-criteria. it allows for a more complex relationship among the decision levels and attributes, as it does not require a strict hierarchical struct...

Urban planning is closely related both, to decision making processes as well as to the establishment of a further urban envisioning. Therefore, it is understood as a multidimensional and multipurpose managed change of the natural and built environment. [C.Carmona, 2003] Hence urban planning is a key element for the creation of sustainable cities by its influence on the production of quality spa...

Urban flood-risk mapping is an important tool for the mitigation of flooding in view continuing urbanization and climate change. However, many developing countries lack sufficiently detailed data to produce reliable risk maps with existing methods. Thus, improved methods are needed that can help managers decision makers combine more soft semi-subjective data, such as citizen observations flood-...

This work seeks to introduce improvements the traditional variable selection procedures employed in development of geodemographic classifications. It presents a proposal for shifting from approach generating general-purpose one-size-fits-all classifications application-specific addresses recent scepticism towards utility applications by employing supervised machine learning techniques order ide...