ACHIEVING QUALITY OF LIFE IN SMART CITIES THROUGH PROJECTS
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
- Determinants of Digital Governance in the Development of Smart Cities
- Restorative Social Justice Through Digital Transformation in South African Metropolitan Cities
- A Bibliometric Analysis of an Urban Ecosystem Simulation Framework
- Simulation Model for Determining Quality of Life in Ukrainian Cities During the War
Limitations of Results-Based Management on the Example of the Police Force of North-Rhine Westphalia
– by Corinna KöblerAbstract
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, Kumpikaitė-Valiūnienė Vilmantė, Mariam JanjariaAbstract
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 AdegbajuAbstract
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 MunsamyAbstract
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 BodyanskiyAbstract
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.