Tiziano Cattaneo

Functional Reuse and Intensification of Rural-Urban Context: Rural Architectural Urbanism

In regional and urban planning such as in design actions they are usually involved different themes and disciplines; especially when the goal is to improve, restore and re-functionalize existing minor settlements in rural-urban context. For this reason it is necessary to define integrated methodologies able to face inter-scalar issues and interdisciplinary themes. Authors propose a framework for a decision support system based on the treatment of geographical data and on the integration of the data sets that have dissimilar origin, diverse formats (they may be not only digital) and different meaning value. This complete data set refers to various disciplines and it is possible to deduce specific knowledge throughout analytical passages and assessment steps. In the paper authors describe: a methodological approach to support planning activities; the technical support to seek a (dynamic) balance between urban density and rural fragmentation; a Best Practices database to support scenarios in rural-urban context. Authors first expose the application field, than the logical framework of the whole process, then describe some related spatial analysis applications and finally they introduce comprehensive case study of the whole procedure.

Planning Support Tool for Rural Architectural Intensification

The paper proposes results derived from a national research project (PRIN, Progetti di Ricerca di Interesse Nazionale - Research Projects of National Interest) named “Rural Architecture Intensification” developed in the local unit of the University of Pavia. Authors developed the research considering the different themes and disciplines that are involved in planning and design actions aimed to improve, restore and re-functionalize existing minor settlements in rural-urban context. The entire process is a typical planning and design algorithm. In the paper authors focus on the treatment of geographical data and on the integration of the data sets that have dissimilar origin, diverse formats (they may be not only digital) and different meaning value. They usually belong to various disciplines and together they compose the information set from which it is possible to deduce specific knowledge. Authors first expose the logical framework of the whole process, then describe the specific theme and finally show some related spatial analysis applications.