摘要:Background. Site selection for urban facilities is a crucial topic in planning decision processes for the several side effects they produce and the multiple criteria involved, especially for healthcare facilities. Nevertheless, the location problem has been ignored by most of the existing evaluation systems. Methods. Starting from a deep literature review and the analysis of hospitals in 10 Eu- ropean cities, the paper proposes an evaluation system divided into four macro-areas (Functional quality, Location quality, Environmental quality, Economical aspects), each in turn composed by criteria and sub-criteria. Results. The evaluation system has been applied for the site selection of "La Città della Salute" in Milan, Italy. Furthermore, the ShOS (Selection hospitals' Site) Evaluation Tool has been defined, with the aim of assessing the land suitability for new healthcare structures. Conclusion. The ShOS evaluation tool improves the transparency and robustness of the decision-making process and it could be broadly applied. var currentpos,timer; function initialize() { timer=setInterval("scrollwindow()",10);} function sc(){clearInterval(timer); }function scrollwindow() { currentpos=document.body.scrollTop; window.scroll(0,++currentpos); if (currentpos != document.body.scrollTop) sc();} document.onmousedown=scdocument.ondblclick=initialize N ew hospitals ' sitiNg 79 Table 1 Literature review: Scientific domain, Evaluation method and Criteria involved [7-29]. The articles reviewed have been cited accord- ing to the publication year Authors Ref. Evaluation Method Domain Topic Hakimi [11] p-median OR Optimal location for services to minimize distance Hakimi [12] p-median OR Optimum distribution of switching centers Toregas et al. [13] Set covering models OR Location of emergency services facilities Church and Revelle [14] Maximal covering location model OR Maximum possible population covered by a certain number of facilities Patel [15] Set covering models OR Optimal location for services centre Eaton et al. [16] Maximal covering location model OR Siting of ambulance bases and centre Revelle and Snyder [17] Maximal covering location model OR Integrated fire and ambulance siting x x x Shroff et al. [18] Fractional programming OR Long term healthcare facilities siting x x x x Hodgson et al. [19] Covering tour model OR Mobile health services planning Noon and Hankins [20] Spatial data visualization GIS Facility location x Yasenovskiy and Hodgson [21] Spatial choice interaction modeling OR Healthcare facilities location Doerner et al. [22] Multiobjective combinatorial optimization OR Tour planning formobile healthcare facilities x x x Smith et al. [23] MNS model OR Planning of community health scheme x x Murawski and Church [24] Maximal covering location model OR Improving health services accessibility x x x x Vahidnia et al. [7] Fuzzy AHP GIS, OR, MCA Optimal location for hospitals x x x x x Soltani and Marandi [8] Fuzzy MCDA GIS, MCDA Hospital site selection x x x x x x x x Syam and C.té [25] Non linear initial model OR Location-allocation of specialized health care services x x x Shariff et al. [26] Genetic algorithm OR Healthcare facilities planning x x Lokhman et al. [27] Spatial analysis tools GIS Reforming Health care Facilities Ebada et al. [28] Spatial analysis tools GIS Evacuation planning x x Gu et al. [9] Integrated Evaluation GIS, OR Healthcare facilities location planning x x x Ismaila and Usul [29] Spatial analysis tools GIS Spatial Analysis of the distribution of Health care facilities x x x x x x Abdullahi et al. [10] Spatial anslysis and MCA GIS, MCA Site suitability assessment x x x x x