ACHIEVING QUALITY OF LIFE IN SMART CITIES THROUGH PROJECTS

đź•’ 21.04.2023 at 13:45 UTC+3 – On-Site (Room M7)

Chaired by Beverly Pasian and Vilmantė Kumpikaitė-Valiūnienė

Limitations of Results-Based Management on the Example of the Police Force of North-Rhine Westphalia

– by Corinna Köbler

Abstract

Results-based management is a key feature of the reforms of New Public Management and a well-known tool in project management as the success of a project is more than the compliance with time, budget, and quality objectives. Although the advantages of results-based management are recognized and impact orientation is successfully applied in many nongovernmental organizations, public administration finds it difficult to get grip on this method. The purpose of this paper is to identify essential limitations of result-based management when applied in public administration and to validate the selected findings. Three limitations derived from literature will be analysed: multicausality, contract management, and controlling cycle. The results are then put into the context of the police force of North-Rhine Westphalia who serves as an example of public administration in practice.

Determinants of Digital Governance in the Development of Smart Cities

– by Roya Anvari, KumpikaitÄ—-ValiĹ«nienÄ— VilmantÄ—, Mariam Janjaria

Abstract

Technology-based reforms, especially in the public sector, are on the agenda of most countries in the world with the digital society. Digital governance in the development of smart cities is one of the new digital governance models for implementing reforms. This paper is a general literature review, which aims to review the literature on the way citizens interact with the services and products provided by the organizations that are in charge of urban management is presented. It identifies the impact of this level of interaction on the general quality of life of citizens, and their participation as the most important part of the urban ecosystem in the decisions and general policies of the rulers.

Restorative Social Justice Through Digital Transformation in South African Metropolitan Cities

– by Ayanda Ntanda, Randall Carolissen, Funmilayo Adegbaju

Abstract

Digital transformation has gained traction in the current digital era to spark new study areas and have an impact on daily life. This study explores restorative social justice through the application of digital transformation; it highlights opportunities and risks, such as the potential unintended consequences as Municipalities transition into Smart Cities, eradicating the Apartheid-infused spatial planning with the resultant entrenched inequality; digital divide, transparency, and the likelihood of discrimination are only a few of the ensuing ethical challenges posed by the escalating use of artificial intelligence and automated decision-making in the public sector. The exercise of personal freedom and rights, such as the right to privacy and data protection or the right to be free from discrimination on any grounds, including one’s level of digital literacy or access, can be adversely impacted by technology. Digital ethical challenges also continue to plague the adoption of technology globally due to the lack of adequate safeguards. To maximize the positive effects of the digital revolution on human rights, democracy, and the rule of law, legislation, regulation, and policy are required in controlling artificial intelligence (AI) use in the public sector to prevent unfavourable societal effects. This study addresses the important topic, “how can digitalization be used to accelerate restorative social justice in the City of Ekurhuleni?” can the path of digitalization give rise to a new form of social injustice?

A Bibliometric Analysis of an Urban Ecosystem Simulation Framework

– by Tatenda Katsumbe, Arnesh Telukdarie, Megashnee Munsamy

Abstract

Siloed approaches to city planning, and management are no longer feasible in solving the current conundrum of the complex, dynamic and emergent nature of excessive resources consumption in urban areas. This prompts the need for holistic modelling approaches, cognisant of complex interactions and trade-offs between diverse city elements; in an endeavour to shift towards a sustainable urban development paradigm. Whilst spatial optimisation tools reinforce the evidence-base for planning via diverse existential urban systems models, there is lack of integrated city models that fully leverage the interlinkages between these systems. An integrated approach to city resources-based consumption, requires adequate comprehension of current challenges encountered by global cities, and existing resolution attempts thereof. Whilst this is possible via adopting a complex systems approach, and conceptualising a city as a “complex ecosystem of systems”, the challenge is identifying all the necessary subsystem components that make up a city, their associated functions, and characteristics. This study thus endeavours to address this identified gap via bibliometric analysis, to establish the current state of research pertaining to global urban systems and provide insight towards the formulation of an integrated modelling approach for city-based resources consumption.

Simulation Model for Determining Quality of Life in Ukrainian Cities During the War

– by Khrystyna Lipianina-Honcharenko, Anatoliy Sachenko, Carsten Wolff, Yevgeniy Bodyanskiy

Abstract

Based on system dynamics authors have developed the simulation model for determining the life quality in Ukrainian cities during the war period. The factor analysis and modeling based on linear regression per each factor was used for model building. For this purpose, the Numbeo data on the quality of life for 2022 across countries and cities were employed and the 24 parameters were selected. Modeling was carried out based on linear regression per each factor and the 5 models were calculated. In addition, a model was calculated to determine the Quality of Life Index parameter based on a simple linear regression. The simulation results showed that the Quality of Life Index has a direct relationship with Factor 1 (Cost of Living Index), and the Factor 5 (Level of Security) has a small impact.