**3. Results**

In order to apply the organizational and analytical model described above when developing a strategy for the sustainable development of housing and communal service object development (see Figure 5), the authors proceed from the assumption that the sustainability of the city depends both on the material and physical objects of housing and communal services, and on the social and environmental components of such a complex and dynamic structure as a modern city, as the sustainable development of each individual city should go along with the provision of both the national direction towards sustainability, and the global trend, which was set in 2015 by the UN General Assembly Resolution No. A70/L.1 "Transforming our world: the 2030 Agenda for Sustainable Development" [1].

In order to form a strategic roadmap for the sustainable development of housing and communal services in the municipal economy strategy of the Russian Federation (hereinafter referred to as the "roadmap"), the authors of the study selected two world goals from the UN General Assembly Resolution: No. A70/L.1 [2]-No. 11 and No. 9 (see Table 1). The selected goals are directly related to the problems of urban infrastructure's sustainable development, as they are aimed at achieving conditions for sustainable development through the joint efforts of governments, the private sector, civil society, and the inhabitants of the Earth. In Table 1, below, the goals selected by the authors correlate with the goals of the sustainable development of the Russian Federation at the federal, regional, and municipal levels [2,12,13,110–112], and the planned macroeconomic results of the road map.


**Table 1.** Compliance with the sustainable development goals for the federal, regional, and municipal levels and the planned macroeconomic results (compiled by the authors).

It should be noted that the selected targets for the formation of the "road map" were considered by the authors of the study only in terms of the development of housing and communal services in the medium and long term. In order to do this, all of the objects of housing and communal services of the municipal economy needed to be divided into three groups according to the criterion of their suitability for living:


Furthermore, the construction of the "road map" was associated with the process of the selected groups of housing and communal service objects reproduction. Each group of housing and communal service objects were assigned their own forms of reproduction (new construction, major repairs, current repairs, reconstruction, modernization, demolition in accordance with the criteria that characterize them (Figure 6 stage 1 and 2). This made it possible to obtain high-quality databases for all of the groups of objects of housing and communal services of the Russian Federation: Base NCCO = {IN*i*}—new housing and communal service facilities; Base ECCO = {IE*k*}—exploited objects of housing and communal services; and Base DCCO = {ID*g*}—dilapidated objects of housing and communal services (Figure 6 stage 3).

**Figure 6.** Detailing the formation of a database process to create a strategy for the sustainable development of housing and communal service objects (HCS) (compiled by the authors).

The obtained databases were used to distribute housing and communal service objects according to future possible forms of reproduction (see Figure 6 stage 4). As a result, the databases of housing and communal service facilities were predicted considering their forms of reproduction (see Figure 6 stage 5). Furthermore, the forecast databases were distributed over the planning periods necessary for the formation of the "road map" (Figure 6, stage 6). All of the planning perspectives are associated with individual stages of the roadmap proposed by the authors (see Figure 7).

**Figure 7.** Strategic roadmap for the sustainable development of housing and communal service objects for the period 2021–2035 (compiled by the authors).

The short term (SR, short planning time) is from 2021 to 2024 (SR = 3 years). During this period, an ex post analysis of the city's housing and communal service facilities is carried out (see Figure 5). The medium term (MR, medium planning time) is the period from 2021 to 2027 (MR = 6 years). During this period, an ex ante analysis of the city's housing and communal service facilities is carried out (see Figure 5). The long-term period (LR, long-term planning time) is the period from 2021 to 2035 (LR = 14 years). During this period, foresight analysis or foresight forecast is carried out for the city's housing and communal service facilities (see Figure 5).

The final stage of the database formation process for the creation of a strategy for the sustainable development of housing and communal service facilities of the municipal economy was the stage of forming "living" databases of housing and communal services, which, in fact, will represent in the long-term structured datasets of small, medium, and large volumes: big data of housing and communal service objects, middle data of housing and communal service objects, and small data of housing and communal service objects (Figure 6 stage 7, Figure 7).

The detailing of the process of forming a database for the housing and communal service objects of the municipal economy is the basis for the "road map" formation based on the accounting principle for the forms of capital construction objects' reproduction.

However, the development of the "road map", in addition to considering the targets of sustainable development and determining the time perspectives for the creation of the database, takes place using end-to-end digital technologies. Starting from 2024, for effective interaction in relation to the housing and communal service facilities of the authorities, citizens and partner structures, it is planned to create digital models of housing and communal service facilities based on high-quality databases for all of the groups of housing and communal service facilities of the Russian Federation (Base NCCO = {INi}; Base ECCO = {IEk}; Base DCCO = {IDg}), which in the long term are modified using big data of housing and communal service objects, controlled by artificial intelligence.

Thus, the consolidation of modern methods of strategic analysis, methods for the assessment of the state of urban agglomerations, modern digital technologies, and infographic modeling made it possible to determine the criteria for the sustainable development of housing and communal service facilities, and to create a roadmap for their sustainable development strategy for the long term.
