urban sinks accumulate phosphorus and other elements and may serve as sources of secondaryraw materials. this paper evaluates phosphorus sources based on their environmental impact. in a life cycleassessment (lca) the conventional production was used as a yardstick against which tomeasure the performanceof two recycling options: spreading of sewage sludge and phosphorus recovery from municipal ...

Urban construction is the important infrastructure of the city, and it is the material basis for the urban survival and development. In this paper, a NASUCI (Novel Analysis System for Urban Construction Information) is proposed. Using data mining technology, case-based reasoning technology, the system focused on providing better decision support for urban construction. The system is composed of...

Morphological analysis of urban fabric is a relevant step in order to perform the analysis of urban dynamics and to simulate their evolutions. In this context, the objective of this paper is to test to test two relational data mining methods (Cardinalisation and Quantiles) to label urban blocks and to produce rules on their morphology. The objective is to automate the identification of urban fa...

one of the most important issues in urban planning is developing sustainable public transportation. the basic condition for this purpose is analyzing current condition especially based on data. data mining is a set of new techniques that are beyond statistical data analyzing. clustering techniques is a subset of it that one of it’s techniques used for analyzing passengers’ trip. the result of t...

there are different studies in urban literature on the determinants of urban growth, from the theoretical and empirical points of view. the most completed theoretical model is henderson model (1988, 1997, and 1999), which is tested by some empirical studies. as henderson model shows, the set of national product, specialization and technological progress are the determinants of urban growth. usi...

In this research, we propose to conduct diagnostic and predictive analysis about the key factors and consequences of urban population relocation. To achieve this goal, urban simulation models extract the urban development trends as land use change patterns from a variety of data sources. The results are treated as part of urban big data with other information such as population change and econo...

Data mining methods have been widely and successfully used in many fields in the last decade. And geographic knowledge discovery and spatial data mining also have attracted more attentions recently. This paper presents an ART-MMAP neural network based spatio-temporal data mining method to simulate and predict urban expansion. The spatial matrices derived from different urban related features, i...

Data mining methods have been widely and successfully used in many fields in the last decade. And geographic knowledge discovery and spatial data mining also have attracted more attentions recently. This paper presents an ART-MMAP neural network based spatio-temporal data mining method to simulate and predict urban expansion. The spatial matrices derived from different urban related features, i...