ITU‐T's Technical Reports and Specifications 807 Sub‐dimension Indicator Description D3.8 Innovation I3.8.2 Investments in ICT innovation Proportion of private sector expenditures invested in ICT innovation. I3.8.3 ICT related patents Number of ICT related patents granted per capita. NOTE – Indicators marked by (*) are not ICT specific indicators but indicators focusing on general city sustainability. 6.2.3 Quality of life This clause lists the core indicators defined for Quality of Life (QoL). There are 3 indicators in this dimension, covering student ICT availability, inhabitants health statues, and emergency process to improve safety and security. Sub‐dimension Indicator Description D4.1 Education I4.1.2 Students ICT availability Proportion of students/pupils with access to ICT capabilities in school. NOTE – ICT capabilities include Internet connectivity, computer labs, ICT modules, digital learning, etc. D4.2 Health I4.2.5 Healthy life years (HLY) Number of remaining years that a person of a certain age is expected to live without disability. (*) NOTE – The emphasis is not exclusively on the length of life, as is the case for life expectancy, but also on the quality of life. D4.3 Safety/security public place I4.3.3 Disaster and emergencies alert accuracy Proportion of disasters and emergencies with timely alerts. (*) NOTE – Disasters may be natural or man‐made. Emergencies concern incidents like kidnapping and missing people, etc. NOTE – Indicators marked by (*) are not ICT specific indicators but indicators focusing on general city sustainability. 6.2.4 Equity and social inclusion3 This clause lists the core indicators defined for equity and social inclusion. There are 4 indicators in this dimension, covering income inequity, gender inequity, use of online services and perception on social inclusion etc. 3 In general equity and inclusion in relation to ICT are hard to measure by defining specific indicators. Therefore, in addition to the indicators defined in dimension D5, cities are encouraged to disaggregate and analyse their data with respect to other aspects including gender, age, income and geographic location/area.