Governmental guidance is important in providing goals and a methodology for urban freight planning.
The paper provides a feasible methodology for urban planners and resource managers for effectively characterizing landscape fragmentation using continuous dataset.
The development of a methodology for urban flood adaptation and energy recovery solutions is resting on the concept of Sustainable Urban Drainage Systems (SUDS) as a measure to reduce risks of urban flooding while fully utilizing the available resources.
The resulting GIS methodology for urban stormwater management will be used as input to a holistic and long-term planning process for the management of the watercourse, taking into account future urban development and other pollution sources.
In this paper, two deterministic and stochastic multilateral, multi-issue, non-cooperative bargaining methodologies are proposed for urban runoff quality management.
According to these elements, the scope of the study is defined by three main objectives: to assess which data are most appropriate for a given unit of analysis (e.g. catchment vs. county level); to assess the ability of an object-based approach to classify urban objects (e.g. houses, farms, buildings) at multiple spatial scales; to propose an operational methodology for mapping urban sprawl.
This paper describes a quantitative methodology for evaluating urban mobility in Cagliari, using a synthetic indicator, and suggests steps that Cagliari could take to meet international best practices for transportation.
Methodologies for modelling risks for urban freight transport are outlined including, stochastic programming, multi-objective optimisation, robust optimisation, multi-agent simulation, and traffic simulation.
Spatial saturation monitoring and land use regression (LUR) modeling are standard exposure assessment methodologies for characterizing intra-urban variability in air pollution concentrations [ 1, 4- 6, 11] and pollution source apportionment [ 15].
