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ICT Innovations for Sustainability is an investigation of how information and communication technology can contribute to sustainable development. It presents clear definitions of sustainability, suggesting conceptual frameworks for the positive and negative effects of ICT on sustainable development. It reviews methods of assessing the direct and in...
Contexts in source publication
Context 1
... can be classified in natural and human-made resources and in material and immaterial resources [14]. These two dimensions are orthogonal, in other words, all combinations are possible (Table 2). Furthermore, material natural resources can be renewable or non-renewable. ...
Context 2
... renewable resource can replenish if the rate at which it is used does not exceed its renewal rate. A non-renewable resource does not renew itself in meaningful human timeframes (see Table 2). We will not introduce formal definitions of these resource categories here as they are defined more or less consistently in the literature. ...
Citations
... Analyzing foreign papers in recent years by (Beckert 2013;Hilty and Aebischer 2015;Center for Global Development 2020;Chen et al. 2018;Lee et al. 2017;Liu et al. 2013;Njøs and Jakobsen 2016;Poly et al. 2015;Reichardt 2022;Shani and Coghlan 2019;Yoon 2017), the authors came to the conclusion that the research technologies used in them are based only on analysis, which does not allow for forecasting. In the works of (Boyadjiev 2019;Gungor et al. 2019;Lennert 2018), despite the construction of mathematical models, the approach for accounting for indicators with different units of measurement is not taken into account. ...
The article develops a methodological approach to the assessment of socio-economic development of the Chuvash Republic, which allows to consider the factors with heterogeneous metrics. The scientific novelty of the study lies in the combination of methods used and the sequence of stages implemented: (1) index analysis of thirty-two indicators divided into seven macro-regional blocks (income, labor, business, ecology, social, prospects, finance); (2) development of formulas for each of them and calculation of integral indicators characterizing their dynamics; (3) development of a formula to determine the rate of socio-economic development; (4) one hundred graphs for forecasting socio-economic development were constructed; (5) thirty-one legal and regulatory acts were analyzed and the dependence by year between the indicator of the rate of socio-economic development developed by the authors and the number of legal and regulatory acts implemented in the country and the region was revealed; (6) a refined classification of the rate of socio-economic development was proposed. Having determined the current situation (2020 is a state close to sustainable—the rate of 99.5%, respectively), and based on the calculated forecast values of the rate of socio-economic development of the Chuvash Republic, it is possible to influence this process depending on the objectives for the medium term, taking the necessary regulatory legal acts, aimed at financing specific macroeconomic blocks. This methodical approach is a universal calculation tool and has great potential for further research. It can be used to assess not only the impact of certain indicators on socio-economic development, it is also applicable to other sectors and spheres of activity.
... The environmental sustainability framework introduced by Berkhout and Hertin [4] and popularized by Hilty et al. [33] offers a simplified view of ICT as being at the same time "part of the solution" and "part of the problem". Albeit this classification is conceptually appealing as it tends to classify what fosters environmental sustainability and what does not, it embeds inherent shortcomings especially by considering that the different effects are independent. ...
... Albeit this classification is conceptually appealing as it tends to classify what fosters environmental sustainability and what does not, it embeds inherent shortcomings especially by considering that the different effects are independent. The authors themselves questioned the normative aspect of that conceptual framework (positive and negative contributions) because it creates misunderstandings and misleading messages depending on the perspective that is considered [33], which is further supported in [28]. Hilty and Aebischer even stress out that "the idea of ICT being either good or bad for the environment should be combated" [33], and they proposed an updated version of the framework, named "LES model" [33]. ...
... The authors themselves questioned the normative aspect of that conceptual framework (positive and negative contributions) because it creates misunderstandings and misleading messages depending on the perspective that is considered [33], which is further supported in [28]. Hilty and Aebischer even stress out that "the idea of ICT being either good or bad for the environment should be combated" [33], and they proposed an updated version of the framework, named "LES model" [33]. Although imperfect, these frameworks have something in common: they are useful to structure different levels of abstraction in order to address questions related to ICT and environmental sustainability. ...
... To date, academic research on digitalization for environmental sustainability (D4S, or ICT4S) is only conducted in niches. The literature distinguishes between different environmental effects: life-cycle effects resulting from production, operation and disposal of end user devices, data centers and network infrastructure, as well as indirect positive and negative effects resulting from the manifold applications of digital devices and services throughout society (Williams, 2011;Hilty and Aebischer, 2015). For instance, a review of the contributions to the five international scientific 'ICT for Sustainability' conferences since 2013 (e.g., Chitchyan et al., 2020), conducted by some of the authors, reveals a clear dominance of the topics of life-cycle effects and enabling effects on the efficiency of production and consumption. ...
The relation between digitalization and environmental sustainability is ambiguous. There is potential of various digital technologies to slow down the transgression of planetary boundaries. Yet resource and energy demand for digital hardware production and use of data-intensive applications is of substantial size. The world over, there is no comprehensive regulation that addresses opportunities and risks of digital technology for sustainability. In this perspective article, we call for a Digital Green Deal that includes strong, cross-sectoral green digitalization policies on all levels of governance. We argue that a Digital Green Deal should first and foremost aim at greater policy coherence: Current digital policy initiatives should include measures that service environmental goals, and environmental policies must address risks and advance opportunities of digital technologies to spur sustainability transformations.
... However, there is a problem that is related to the fact that there is no unity in the scientific literature on how to make a prediction using mathematical modeling. For example, in [7] there are no mathematical models for studying economic processes. A similar opinion is expressed by the authors of [8], who draw attention to the impossibility of determining and measuring certain quantities. ...
... Further, Table 12 is compiled based on the data in Table 6, which characterizes the sale of grain and products of its processing (wholesale and retail). Based on the materials of Table 12 according to formula (7), an integral indicator is calculated that characterizes the dynamics of the sale of grain and products of its processing in Republic of Kazakhstan (IP 6 ), in %: 4 6 I I I I , ...
The object of the study is the process of functioning of enterprises of the grain product subcomplex. In the course of the study, the problem of the growth rate and the peculiarities of the functioning of enterprises of the grain product subcomplex were solved. An assessment of the functioning of the grain product subcomplex was carried out Republic of Kazakhstan using mathematical modeling, for which a methodology has been developed that allows considering factors with a heterogeneous metric, which includes the following steps: 1) index analysis twenty-one indicators, divided into groups; 2) development of formulas for calculation and integral indicators characterizing their dynamics; 3) determining the pace of functioning of the grain product subcomplex for 2011–2021. Graphs were made and a forecast of the performance indicators of the subcomplex until 2024 is presented for one of each group with the maximum coefficient of determination R2. According to three scenarios: optimistic, probabilistic and pessimistic. R2 is an indicator of the quality of forecasts: than the closer its value is to one, the higher the probability of execution. For eleven charts, the coefficient of determination is in the range from 0.9003 (pessimistic forecast for other industrial use of grain) to 0.9838 (optimistic forecast for the number of granaries). For ten, from 0.8025 to 0.8702, and for nine, from 0.705 to 0.7932. This means that the reliability of the calculations for twenty-nine forecast options is in the range from 70 to 98 %. This indicates fairly objective predictive values of the subcomplex performance indicators until 2024. Based on the results of the studies, optimistic and pessimistic scenarios are more likely to be implemented.
... -Режим доступа: https://www.webcanape.ru/business/internet-2020-globalnaya-statistika-i-trendy/ 180 [Электронный ресурс]. -Режим доступа: https://networkreadinessindex.org/wp-content/uploads/2020/11/NRI-2020-V8_28-11-2020.pdf ...
... -Режим доступа: https://www.webcanape.ru/business/internet-2020-globalnaya-statistika-i-trendy/ 180 [Электронный ресурс]. -Режим доступа: https://networkreadinessindex.org/wp-content/uploads/2020/11/NRI-2020-V8_28-11-2020.pdf ...
... So far, the above research findings pursue a compact and versatile urban design that is driving the shift in modes of transportation from private motor vehicles to walking, cycling, and public transport, to improve health and sustainability (Sallis et al., 2016). However, the concept of sustainable cities tends to focus primarily on infrastructure (Hilty & Aebischer, 2015). It is reinforced through the research of Moreno et al. (2021), which offering the concept of accessibility, especially through walking or cycling that shown to have many benefits on a social, economic, and environmental scale. ...
This study relates the social, economic, and environmental aspects of sustainable development with urban architecture. The data were obtained by observation and using questionnaires, while the analysis approach uses Multidimensional Scaling method, combined with System Dynamic approach, in order to develop scenarios, policies and sustainability strategies. The results of the analysis highlight eight main levers for the sustainability of the socio-spatial transformation of urban architecture, namely: waste pollution, residential densification, income, hope for a new job that can be a permanent livelihood, social class, rooted culture, architectural type and style, and land use intensity. An optimistic scenario through interventions on eight leverage factors could raise the sustainability status from an the initial value of 46.81 (less sustainable) to 76.24 (sustainable).
... With full 5G deployment, it increases by 81% without SM and only by 27% with SM, while the total data traffic increases more than threefold. This indicates a relative decoupling between data traffic and energy consumption [53]. Only scenario (6) with 4G decommissioning shows an absolute decoupling over the period of the study, with energy savings of 10% without SM and 63% with SM. ...
... However, the expected energy savings from this improvement are partly offset by the data traffic increase in scenario (6), and it even backfires in all other scenarios as the absolute energy consumption increases between 2020 and 2025. This hence illustrates a rebound effect [50,51,53]. Therefore, improving the energy efficiency of a mobile communication technology does not directly reduce its total energy consumption. ...
Energy consumption of mobile cellular communications is mainly due to base stations (BSs) that constitute radio access networks (RANs). 5G technologies are expected to improve the RAN energy efficiency while supporting the forecasted growth in data traffic. However, the evolution of the absolute RAN energy consumption with 5G deployment is not clear. Moreover, existing BS power models are mostly derived from legacy equipment. Therefore, this work presents a method to evaluate and to project the total energy consumption of broadband RANs. We use on-site up-to-date measurements to determine power models of 4G BSs, showing a linear relationship between power consumption and data traffic with a static traffic-independent power component. We then build a prospective power model of 5G BSs by scaling 4G models with respect to bandwidth, number of data streams, and expected technological improvements. We apply this method to the RANs in Belgium over the 2020–2025 period for six scenarios of 5G deployment. Results show that the static energy consumption accounts for a major part of the total RAN energy consumption, which implies that concurrently operating 4G and 5G RANs consumes more energy than using only one generation. The sleep mode feature of 5G technology can reduce its RAN static energy consumption, improving energy efficiency by 10 times compared to 4G. Finally, we estimate the absolute carbon footprint of 4G and 5G RANs by considering embodied and operating greenhouse gas emissions. They follow a clear upward trend for scenarios with extensive 5G deployment.
... On the one hand, the efforts of the initiatives described in this thesis aimed to address city challenges related to social and environmental sustainability in their respective cities with the help of data. These are considered key problem areas, along with economic development for smart cities (Hollands, 2008;Huber and Hilty, 2015). Working on addressing an urban sustainability challenge through data-driven interventions and community participation was a selection criterion for choosing projects for this research. ...
In the last two decades, both the academic realm and urban governance practice have seen a rising interest in smart cities and open data to aid sustainable urban development and citizen engagement. However, little is currently known about data-driven citizen-centric practices ‘on the ground’. Research to date has been scarce and focused primarily on the experience in countries of the ‘Global North’. Therefore, the knowledge gap this work aimed to bridge was to develop an understanding of how open data are used to support citizen-led initiatives that address sustainable development in cities in the ‘Global South’. The research employed an inductive exploratory approach using qualitative research methods to examine case studies in Dar es Salaam (Tanzania) and Nairobi (Kenya). The case studies were focused on how city governments and other stakeholders engage with communities dealing with sustainability challenges, and how data can support this. Expert interviews, 25 in Dar es Salaam and 25 in Nairobi, were conducted with representatives of national and local government, international and local experts in open data and urban data innovations, leaders in non-profit organisations, private sector companies and start-ups, international development organisations, local community initiatives and academia. These were followed by direct observations of four community projects (Ramani Huria and Nipe Fagio in Dar es Salaam, and Map Kibera and sensors.AFRICA in Nairobi), and focus groups with project participants. By taking a ground-level perspective on how data are generated, circulated, accessed and leveraged by stakeholders, the author has drawn conclusions on how cities adopted and supported ‘citizen- centric’ practices to address specific urban challenges, such as solid waste management, air pollution, flooding, and access to public services. Overall, the nature of data-driven community initiatives in these cities was found to be different to the cities in the Global North. They were shaped by the way people traditionally participate in decision making and how they were initiated and resourced. Due to the prevalence of international donor funding in these countries, project agendas and their sustainability depended strongly on the continuation of donor programmes. Also, the history, local governance and motivation for community engagement played a considerable role in shaping these activities. Findings suggest that using data for citizen engagement in urban challenges in East Africa, and the design of urban sustainability interventions, should take into consideration these contextual differences. Addressing such specificities simply as ‘barriers’ or ‘gaps’ to achievement, rather than as practically and symbolically significant local practices integral to existing community governance, risks failing to account for their importance, at the cost of the deliverability of data- driven project goals.
... As research methods used: correlation and regression analysis, index, calculation of the integral indicator, forecasting. Analyzing foreign publications over the past five years, Hilty, L. [6], Lee, R. [8], Njos, R. [12], Yoon, D. [16], the authors came to the conclusion that the research technologies used in them are based only on analysis, which does not allow forecasting. And in the works of Dede, Y. [1], Gungor, A. [5], Kurniadi, E. [7], Lennert, J. [9], Mehdi, F. [11], Velozo de Castro, E. [15], despite the construction of mathematical models, the approach for accounting for indicators with different units of measurement is not taken into account. ...
The article developed a methodology for assessing the rates of development of education and their forecasting in the Republic of Azerbaijan, which allows considering factors with a heterogeneous metric. For this, an index analysis of thirty-five indicators was carried out, divided into seven groups depending on the level of education, an integral indicator characterizing their changes was calculated, and the pace of development of the industry in the Republic of Azerbaijan was determined. Further, using the Excel program, a forecast of changes in the number of students in the Republic of Azerbaijan until 2023 is presented according to three scenarios: optimistic, probabilistic and pessimistic. Studies have shown that optimistic and pessimistic scenarios are more likely to be realized.
