TY - JOUR 
A1 - García-Ayllón Veintimilla, Salvador
T1 - Retro-diagnosis methodology for land consumption analysis towards sustainable future scenarios: Application to a mediterranean coastal area
Y1 - 2018
SN - 0959-6526
UR - http://hdl.handle.net/10317/10329
AB - Land consumption is a good indicator to directly diagnose present and future imbalances in territories, and indirectly, possible issues associated to the management of other resources. Therefore, after reaching the target of standardizing urban research that makes it possible to build healthier and greener cities, the real challenge for the future is to make the leap from urban scale to regional scale and deploy these policies in an integrated manner, in so-called "smart territories". In that context, this paper presents a model of multidisciplinary analysis through indicators based in land consumption and transformation rates. The model, called GIS-LiDAR retrospective analysis, is implemented through territorial information tools in order to simulate and diagnose possible future imbalances based on past and current trends. This innovative methodology will be applied in a Spanish Mediterranean coastal area called the Campo de Cartagena, a territory with issues related to low-density urban sprawl, intensive agriculture and mass tourism coastal urbanization. This territory of high economic activity and with important environmental protected areas like the Mar Menor lagoon as well as complex interrelated phenomena will be "retrohistorically" diagnosed from the perspective of land transformation over 60 years. The method, designed to advance future scenarios and help planners in decision-making, will show dangerous current trends leading to imbalances in this area so that future planning can be implemented with smart (sustainable) criteria.
KW - Regional sustainability
KW - Smart coastal territory
KW - GIS-LiDAR retrospective analysis
KW - Land consumption
KW - Campo de cartagena-Mar Menor area
KW - Ingeniería e Infraestructura del Transporte
KW - 3308 Ingeniería y Tecnología del Medio Ambiente
KW - 3329.04 Uso del Suelo
LA - eng
PB - Elsevier Science Ltd.
ER -