Built heritage is one of the biggest assets that Lisbon's central downtown has accumulated since eighteenth century. The efficient use of these assets is a challenge for both the owners of individual buildings and society as a whole. Recently, a new regeneration initiative was announced for Lisbon's historic district. This paper aims to address the urban problems of old Lisbon's downtown, to discuss the existing public intervention framework and to present an integrated information management system aimed at providing technical and economic information needed to improve co‐ordination between public sector and private agents.
The research methodology of the study is an interpretative case study method. The case study approach is one of the most commonly used research designs in qualitative research. The contents and conclusions from the research were obtained by means of: a review of publications and current practices related to urban regeneration; a review of data and information on urban regeneration studies; a survey conducted throughout the duration of the study; and a case study.
The integrated information management system presented in this paper is a tool that allows the management agency of the Lisbon's historic district to the take full advantage of the potentialities of the area, namely the strategic location and the historic and architectonic heritage.
A great number of buildings in the historic district are classified as buildings of “public heritage”. The findings suggest that property and economic activity can be the driving forces for revitalising Lisbon's historic district.
This paper is aim to understand the key features of old Lisbon's downtown and to analyse existing practice in managing built heritage on the historic district. It also seek to identify how an information management system could improve the current intervention practices, in the area, that agency follows.
Loforte Ribeiro, F. and Videira, S.I. (2008), "Management of the built heritage in the Lisbon's central downtown", International Journal of Housing Markets and Analysis, Vol. 1 No. 2, pp. 110-124. https://doi.org/10.1108/17538270810877754
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