Governance and SDGs in smart cities context

Abdel-Razek, Shahira Assem

doi:10.1016/b978-0-323-85151-0.00005-1

Cited by 11 publications

(7 citation statements)

References 14 publications

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“…Urban Governance for Sustainable Development Urban governance can be defined as a set of indicators, processes, and evaluators to achieve urban sustainability (Abdel-Razek, 2021). It covers a broad spectrum of the relationship between the parties who plan and manage the city through a continuing process.…”

Section: 2mentioning

confidence: 99%

“…The Indicators for Sustainable Governance in LCC Urban governance is also the sum of the many ways in which individuals and institutions, both public and private, plan and manage the everyday affairs of the city in a continuing process where conflicting or diverse interests may be accommodated, and cooperative action can be taken (UN-Habitat, 2023). Urban governance is also considered a set of indicators, processes, and evaluators governed together to achieve urban sustainability (Abdel-Razek, 2021). This term includes citizens, communities, privatesector actors, and voluntary organisations (Raco, 2020).…”

Section: 3mentioning

confidence: 99%

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Determining Low Carbon City (Lcc) Indicators for Governance at Local Government in Malaysia

Jamaluddin,

Abdullah,

Samsura

et al. 2023

ALAM CIPTA

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The Low Carbon City (LCC) concept has been introduced previously in Malaysian urban development and practice. Through the Low Carbon Cities Framework (LCCF), the Malaysian government has accordingly delineated local authorities’ targets for achieving zero carbon status. However, to achieve smooth governance of LCC delivery, it is essential to ensure that institutional approaches are well-practised and administered. Nevertheless, what are the key elements that can be a guide for LCC governance in local government? Thus, this paper aims to establish the indicators applicable to LCC in governance and practice at local government. This study, therefore, employed a qualitative method with a purposive sampling approach, using the technique of in-depth interviews consisting of three (3) local authorities practising low carbon efforts, and also employed thematic analysis for secondary data. This study showed that LCC governance could be operative considering several important indicators for practice. The findings found that the LCC indicators are substantial for the local authority in delivering LCC initiatives, as well as the challenges faced by the local government in restructuring the institutional framework to achieve better governance practices. The study outcome, therefore, can be a reference to local government when implementing LCC initiatives through a better governance approach

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Section: 2mentioning

confidence: 99%

Section: 3mentioning

confidence: 99%

Determining Low Carbon City (Lcc) Indicators for Governance at Local Government in Malaysia

Jamaluddin,

Abdullah,

Samsura

et al. 2023

ALAM CIPTA

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“…v. Information on the development of village development b. Village community service Good public service as a form of smart governance implementation will be able to encourage the achievement of the four SDGs pillars and realize all the pillars of both smart villages and smart cities (Razek, 2021). The breadth of the forms of services provided by the village government to the community makes it necessary to limit the context of services classified in smart governance to avoid overlapping implications with other segments such as the smart living side, people, or the economy.…”

Section: A the Openness Of Village Governmentmentioning

confidence: 99%

“…Governance Community participation in village governance is part of a form of smart governance as a form of community response to good governance (Schware and Deane, 2003;Engelbert et al, 2014) With the implementation of smart governance using ICT, it is possible to discuss two directives from the community and the government regarding public issues (Linders, 2019;Ellison N and Hardey M, 2014;Sobaci MZ and Karkin N, 2013) Razek (2021) states that without effective governance, sustainability will be difficult to achieve.…”

Section: Community Participation In Villagementioning

confidence: 99%

Smart Governance in Indonesian Village Towards SDGs Achievement

Oktarina,

Pertiwi,

Paluseri

et al. 2023

IPSR

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After the COVID-19 pandemic, there has been an increase of digital technology adoption in the community, both in terms of its utilization and intensity. Digital Indonesia 2022 data released by We Are Social with Kepios shows an increase of 1 percent or 2.1 million internet users in January 2022 compared to January 2021 with increasing diverse internet usage variations. Digital transformation not only occurs in urban but also in rural areas. BPS data shows that the growth of internet users in villages is greater than in cities in 2020. This changing habit from the community encourages the village government to transform services and village development through smart governance. This research aims to describe the role of smart governance in supporting the achievement of sustainable development goals. This research was conducted by descriptive analysis using various works of literature as data. Various data show that smart governance encourages the creation of a village digital database, which is then used in the planning and decision-making process. During a pandemic, smart governance supports population administration services through features and application development. The results of the analysis conclude that smart governance generally drives the 17 goals of the SDGs, but particularly propels the achievements of SDGs' goals 16 and 17.

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“…The rich discussion on the existence of healthy cities and the SDG 11 goal is prominent and cannot be ignored; scientists, technologists, and academics have all thoroughly contributed to this massive growth of literature that is evident and abundant today [13][14][15][16][17][18]. Implementing these strategies into smart cities means preparing existing buildings to better adapt to the evolving environmental or sociological crises [19,20].…”

Section: The Sustainable Development Goals (Sdgs) and Smart Citiesmentioning

confidence: 99%

Energy Efficiency through the Implementation of an AI Model to Predict Room Occupancy Based on Thermal Comfort Parameters

et al. 2022

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Room occupancy prediction based on indoor environmental quality may be the breakthrough to ensure energy efficiency and establish an interior ambience tailored to each user. Identifying whether temperature, humidity, lighting, and CO2 levels may be used as efficient predictors of room occupancy accuracy is needed to help designers better utilize the readings and data collected in order to improve interior design, in an effort to better suit users. It also aims to help in energy efficiency and saving in an ever-increasing energy crisis and dangerous levels of climate change. This paper evaluated the accuracy of room occupancy recognition using a dataset with diverse amounts of light, CO2, and humidity. As classification algorithms, K-nearest neighbors (KNN), hybrid Adam optimizer–artificial neural network–back-propagation network (AO–ANN (BP)), and decision trees (DT) were used. Furthermore, this research is based on machine learning interpretability methodologies. Shapley additive explanations (SHAP) improve interpretability by estimating the significance values for each feature for classifiers applied. The results indicate that the KNN performs better than the DT and AO-ANN (BP) classification models have 99.5%. Though the two classifiers are designed to evaluate variations in interpretations, we must ensure that they have accurate detection. The results show that SHAP provides successful implementation following these metrics, with differences detected amongst classifier models that support the assumption that model complexity plays a significant role when predictability is taken into account.

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Governance and SDGs in smart cities context

Cited by 11 publications

References 14 publications

Determining Low Carbon City (Lcc) Indicators for Governance at Local Government in Malaysia

Determining Low Carbon City (Lcc) Indicators for Governance at Local Government in Malaysia

Smart Governance in Indonesian Village Towards SDGs Achievement

Energy Efficiency through the Implementation of an AI Model to Predict Room Occupancy Based on Thermal Comfort Parameters

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