among various types of cities, mining cities have special features including a high concentration of industrial activities associated with the exploration, extraction, refining, processing and export of groundwater resources, the risk of reduction and termination of non-renewable resources, high degree of environmental pollution, high production of domestic and industrial waste and social issue...

Geographical information systems (GIS) are a kind of location intelligence technology that supports systematic collection, integration, analysis and sharing of spatial data. They provide an effective tool for characterising and visualising geographical distributions of recyclable resources or materials dispersed across urban environments in what may be described as “urban mines”. As logistics c...

In theory, ‘urban mining’ has a huge potential for enabling more efficient resource use and offering new business opportunities for the cleantech and recycling industries. This concept involves recovering technospheric stocks of previously employed natural resources that have been taken out of use without being collected for waste management. Such hibernating material stocks can be found in old...

For an efficient recovery and reuse of resources of the building stock, as described in urban mining, information about prospective quantities and qualities of resources is essential. For current stock projections with the so-called bottom-up-method, especially information about building types and building ages has to be known. Currently there is a lack of continuous datasets regarding detailed...

Materials are continuously accumulating in the human-built environment since massive amounts of materials required for building, developing, and maintaining cities. At end their life cycles, these considered valuable sources secondary materials. The increasing construction demolition waste released from aging stock each year make up heaviest, most voluminous outflow, presenting challenges oppor...

TANL is a suite of tools for text analytics based on the software architecture paradigm of data driven pipelines. The strategies for upgrading TANL to the use of Universal Dependencies range from a minimalistic approach consisting of introducing pre/post-processing steps into the native pipeline to revising the whole pipeline. We explore the issue in the context of the Italian Treebank, conside...

As a result of rapid urban economic development and improvement in living standards, urban residential electricity consumption in China is increasing quickly. Although the factors which influence the urban residential load are complex, an objective analysis followed by the setting up of a logical urban residential load forecast model can offer a scientific basis for decisions regarding urban po...

The emergence of "big data" has resulted in a large amount of information documenting daily events, perceptions, thoughts, and emotions of citizens, all annotated with the location and time that they were recorded. This data presents an unprecedented opportunity to help identify and solve urban problems. This thesis aimed to explore the potential of machine learning and data mining in finding p...