scholarly journals South Africa’s Quest for Smart Cities: Privacy Concerns of Digital Natives of Cape Town, South Africa

10.28945/3992 ◽  
2018 ◽  
Vol 14 ◽  
pp. 055-076 ◽  
Author(s):  
Valerie Mujinga Tshiani ◽  
Maureen Tanner

Contribution: This study contributes to scientific literature by detailing the impact of specific factors on the privacy concerns of citizens living in an African city Findings: The findings reveal that the more that impersonal data is collected by the Smart City of Cape Town, the lower the privacy concerns of the digital natives. The findings also show that the digital natives have higher privacy concerns when they express a strong need to be aware of the security measure put in place by the city. Recommendations for Practitioners: Practitioners (i.e., policy makers) should ensure that it is a legal requirement to have security measures in place to protect the privacy of the citizens while collecting data within the smart city of Cape Town. These regulations should be made public to appease any apprehensions from its citizens towards smart city implementations. Less personal data should also be collected on the citizens. Recommendation for Researchers: Researchers should further investigate issues related to privacy concerns in the context of African developing countries. Such is the case since the population of these countries might have unique cultural and philosophical perspectives that might influence how they perceive privacy. Impact on Society: Cities are becoming “smarter” and in developing world context like Africa, privacy issues might not have as a strong influence as is the case in the developing world. Future Research: Further qualitative studies should be conducted to better understand issues related to perceived benefits, perceived control, awareness of how data is collected, and level of privacy concerns of digital natives in developing countries.

10.28945/4071 ◽  
2018 ◽  

Aim/Purpose: [This Proceedings paper was revised and published in the 2018 issue of the Interdisciplinary Journal of e-Skills and Lifelong Learning, Volume 14] The objective of this study is to investigate the impact of awareness, perceived benefits, types of data collected and perceived control on the privacy concerns of digital natives living in what is considered the smart city of Cape Town, South Africa. Background: Smart city projects have been known to bring benefits such as sustainable economic development to cities. However one may wonder what and how certain factors influence the privacy concerns that come along with the implementation of smart cities particularly in the African context. In a time when information can be easily transferred, accessed and even shared, it is no surprise that people may have inclinations to be very protective of their personal information. Methodology: The study is quantitative in nature. Data has been collected using an online survey and analysed statistically. Contribution: This study contributes to scientific literature by detailing the impact of specific factors on the privacy concerns of citizens living in an African city Findings: The findings reveal that the more impersonal data is collected by the Smart City of Cape Town, the lower the privacy concerns of the digital natives. The findings also show that higher the need of the digital natives to be aware of the security measure put in place by the city, the higher their privacy concerns Recommendations for Practitioners: Practitioners (i.e. policy makers) should ensure that it is a legal requirement to have security measures in place to protect the privacy of the citizens while col-lecting data within the smart city of Cape Town. These regulations should be made public to appease any apprehensions from its citizens towards smart city implementations. Less personal data should also be collected on the citizens. Recommendation for Researchers: Researchers should further investigate issues related to privacy concerns in the context of African developing countries as they have unique cultural and philosophical perspectives that might influence how people perceive privacy. Impact on Society: Cities are becoming “smarter” and in developing world context like Africa, privacy issues might not have as a strong influence as is the case in the developing world. Future Research: Further qualitative studies should be conducted to better understand issues related to perceived benefits, perceived control, awareness of how data is collected and level of privacy concerns of digital natives in developing countries.


Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2668
Author(s):  
Mohamed Hanine ◽  
Omar Boutkhoum ◽  
Fatima El Barakaz ◽  
Mohamed Lachgar ◽  
Noureddine Assad ◽  
...  

Rapid urbanization to meet the needs of the growing population has led to several challenges such as pollution, increased and congested traffic, poor sustainability, and impact on the ecological environment. The conception of smart cities comprising intelligent convergence systems has been regarded as a potential solution to overcome these problems. Based on the information, communications, and technology (ICT), the idea of a smart city has emerged to decrease the impact of rapid urbanization. In this context, important efforts have been made for making cities smarter and more sustainable. However, the challenges associated with the implementation and evaluation of smart cities in developing countries are not examined appropriately, particularly in the Moroccan context. To analyze the efficacy and success of such efforts, the evaluation and comparisons using common frameworks are significantly important. For this purpose, the present research aims to investigate and evaluate the most influential dimensions and criteria for smart city development (SCD) in the Moroccan context. To reach this goal, this study proposes a new integrated Multi-Criteria Decision-Making (MCDM) model based on Intuitionistic Fuzzy Analytical Hierarchy Process (IF-AHP) and Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL). In the given context, the IF-AHP is employed to analyze the structure of the problem and calculate the weights of the qualitative and quantitative dimensions/criteria by incorporating the uncertainty values provided by the experts. Later, IF-DEMATEL is used to construct the structural correlation of dimensions/criteria in MCDM. The use of intuitionistic fuzzy set theory helps in dealing with the linguistic imprecision and the ambiguity of experts’ judgment. Results reveal that ‘Smart Living and Governance’ and ‘Smart Economy’ are major dimensions impacting the SCD in the Moroccan context. The proposed model focuses on enhancing the understanding of different dimensions/criteria and situations in smart cities compared to traditional cities and elevates their decision-making capability. Moreover, the results are discussed, as are the managerial implications, conclusions, limitations, and potential opportunities.


Smart Cities ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 853-872 ◽  
Author(s):  
Horst Treiblmaier ◽  
Abderahman Rejeb ◽  
Andreas Strebinger

The term “Smart City” denotes a comprehensive concept to alleviate pending problems of modern urban areas which have developed into an important work field for practitioners and scholars alike. However, the question remains as to how cities can become “smart”. The application of information technology is generally considered a key driver in the “smartization” of cities. Detailed frameworks and procedures are therefore needed to guide, operationalize, and measure the implementation process as well as the impact of the respective technologies. In this paper, we discuss blockchain technology, a novel driver of technological transformation that comprises a multitude of underlying technologies and protocols, and its potential impact on smart cities. We specifically address the question of how blockchain technology may benefit the development of urban areas. Based on a comprehensive literature review, we present a framework and research propositions. We identify nine application fields of blockchain technology in the smartization of cities: (1) healthcare, (2) logistics and supply chains, (3) mobility, (4) energy, (5) administration and services, (6) e-voting, (7) factory, (8) home and (9) education. We discuss current developments in these fields, illustrate how they are affected by blockchain technology and derive propositions to guide future research endeavors.


2020 ◽  
Vol 12 (14) ◽  
pp. 5595 ◽  
Author(s):  
Ana Lavalle ◽  
Miguel A. Teruel ◽  
Alejandro Maté ◽  
Juan Trujillo

Fostering sustainability is paramount for Smart Cities development. Lately, Smart Cities are benefiting from the rising of Big Data coming from IoT devices, leading to improvements on monitoring and prevention. However, monitoring and prevention processes require visualization techniques as a key component. Indeed, in order to prevent possible hazards (such as fires, leaks, etc.) and optimize their resources, Smart Cities require adequate visualizations that provide insights to decision makers. Nevertheless, visualization of Big Data has always been a challenging issue, especially when such data are originated in real-time. This problem becomes even bigger in Smart City environments since we have to deal with many different groups of users and multiple heterogeneous data sources. Without a proper visualization methodology, complex dashboards including data from different nature are difficult to understand. In order to tackle this issue, we propose a methodology based on visualization techniques for Big Data, aimed at improving the evidence-gathering process by assisting users in the decision making in the context of Smart Cities. Moreover, in order to assess the impact of our proposal, a case study based on service calls for a fire department is presented. In this sense, our findings will be applied to data coming from citizen calls. Thus, the results of this work will contribute to the optimization of resources, namely fire extinguishing battalions, helping to improve their effectiveness and, as a result, the sustainability of a Smart City, operating better with less resources. Finally, in order to evaluate the impact of our proposal, we have performed an experiment, with non-expert users in data visualization.


2017 ◽  
Vol 44 (5) ◽  
pp. 765-780 ◽  
Author(s):  
Sena Kimm Gnangnon

Purpose The purpose of this paper is to contribute to the empirical literature of the macroeconomic effect of trade facilitation reforms by examining the impact of the latter on tax revenue in both developed and developing countries. The relevance of the topic lies on the fact that at the Bali Ministerial Conference of the World Trade Organization (WTO) in 2013, Trade Ministers agreed for the first time since the creation of the WTO (in 1995) on an Agreement to facilitate trade around the world, dubbed Trade Facilitation Agreement (TFA). The study considers both at-the-border and behind-the border measures of Trade Facilitation. Design/methodology/approach To conduct this study, the authors rely on the literature related to the structural factors that explain tax revenue mobilization. The authors mainly use within fixed effects estimator. The analysis relies on 102 countries (of which 23 industrial countries) over the period 2004-2007 (based on data availability). A focus has also been made on African countries, within the sample of developing countries. Findings The empirical analysis suggests evidence of a positive and significant effect of trade facilitation reforms on non-resources tax revenue, irrespective of the sample of countries considered in the analysis. Research limitations/implications This finding should contribute to dampening the fear of policymakers in developing countries, including Africa that the implementation of the TFA would entail higher costs, without necessarily being associated with higher benefits. An avenue for future research would be to extend the period of the study when data would be available. Originality/value To the best of the authors knowledge, this study had not been performed in the literature of the determinants of tax revenue mobilization, although fact-based analysis was performed.


2016 ◽  
Vol 12 (2) ◽  
pp. 77-93 ◽  
Author(s):  
Leonidas Anthopoulos ◽  
Marijn Janssen ◽  
Vishanth Weerakkody

Smart cities have attracted an extensive and emerging interest from both science and industry with an increasing number of international examples emerging from all over the world. However, despite the significant role that smart cities can play to deal with recent urban challenges, the concept has been being criticized for not being able to realize its potential and for being a vendor hype. This paper reviews different conceptualization, benchmarks and evaluations of the smart city concept. Eight different classes of smart city conceptualization models have been discovered, which structure the unified conceptualization model and concern smart city facilities (i.e., energy, water, IoT etc.), services (i.e., health, education etc.), governance, planning and management, architecture, data and people. Benchmarking though is still ambiguous and different perspectives are followed by the researchers that measure -and recently monitor- various factors, which somehow exceed typical technological or urban characteristics. This can be attributed to the broadness of the smart city concept. This paper sheds light to parameters that can be measured and controlled in an attempt to improve smart city potential and leaves space for corresponding future research. More specifically, smart city progress, local capacity, vulnerabilities for resilience and policy impact are only some of the variants that scholars pay attention to measure and control.


2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>


2019 ◽  
Vol 5 (2) ◽  
pp. 1-13
Author(s):  
Helen Dian Fridayani ◽  
Rifaid Rifaid

Sustainable city is a city that designed by considering the impact on the environment, inhabited by population with a number and behavior that requires minimal support for energy, water and food from the outside, and produces less CO2, gas, air and water pollution. Moreover the national government envisions Indonesia2030which shallimplement the smart city towards sustainable development.Especially in Sleman Regency, the government is committed to make Sleman Regency as a Smart Regency in 2021. It could be shown in the vision of Sleman Regency which is The realization of a more prosperous Sleman community, Independent, Cultured and Integratede-governmentsystem to the Smart Regency in 2021”. This paper would like to analyze how the Sleman Regency implement the Smart city concept, and does the smart city concept can achive the sustainability city. The research uses the qualitative approach with in-deepth interview in examining the data, also the literature review. The result in this study reveals the following: firstly, from 2016-2019 Sleman regency has several applications to support the smart city implementation such as One Data of UMKM, Home Creative Sleman, Lapor Sleman app, Sleman Smart app, online tax app, e-patient, sleman emergency service, and Sleman smart room. Second, there are many elements in smart cities that are very important for smart government, smart life, smart economy, smart society, and smart environment. However, in supporting to support the realization of smart cities, not all aspects must be implemented properly to achieve a managed city, components related to smart environment cannot be implemented properly in Sleman Regency. There are still many problems regarding environmental problems such as the development of the construction of hotels and apartments that do not heed the environment, incrasing the populations, the limitations of green open space.


Author(s):  
MAKSIM D. PUSHKAREV ◽  
◽  
DMITRY A. PROKOFIEV ◽  

Smart city technologies make the functioning of urban infrastructure more efficient, and the lives of citizens more comfortable and safe. During the COVID-19 pandemic, they were very popular, and this could not but affect the energy efficiency of high-tech megacities around the world. This article examines the impact of the COVID-19 pandemic on smart cities, and also offers a solution to the problem of energy efficiency of smart cities.


2021 ◽  
Author(s):  
FARZAN SHENAVARMASOULEH ◽  
Farid Ghareh Mohammadi ◽  
M. Hadi Amini ◽  
Hamid R. Arabnia

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>


Sign in / Sign up

Export Citation Format

Share Document