LISAM: an open source GIS-based model for liveability spatial assessment

Abstract

Ecosystem Services (ES) and Urban Services (US) influence place liveability in a comparable manner. Consequently, assessing landscape liveability considering both types of services can result effective for landscape planning and policy-making purposes. Since liveability depends also on local population preferences and perceptions, stakeholder involvement results essential for a more coherent liveability assessment. In this study a Spatial Multicriteria Decision Aiding (S-MCDA) approach guided the development of a LIveability Spatial Assessment Model (LISAM). Using a combination of GIS techniques (Euclidean distance, kernel density estimation, network analysis, viewshed analysis), consistent and comparable ES and US spatial indices were calculated in a study area located in central Italy. The indices were implemented in open-source geo-spatial software (QGIS, PostGIS and PostgreSQL). According to the Analytical Hierarchy Process (AHP), they were integrated with their percentage weights on liveability deriving from stakeholders interviews. Then, to investigate the liveability levels of local population, main statistics of liveability values were calculated per census section. Results include overall liveability indices at a local scale, and key statistics of liveability related to resident population. The work highlights the effectiveness of LISAM to assess local liveability and to deliver important information for policy-makers. LISAM approach opens the opportunity to integrate also ecosystem and urban disservices together with ES and US in liveability assessment to consider also the factors generated by landscape components that reduce the overall level of place liveability.