Risk management in sustainable smart cities governance: A TOE framework

Ullah, Fahim; Qayyum, Siddra; Thaheem, Muhammad Jamaluddin; Al‐Turjman, Fadi; Sepasgozar, Samad M. E.

doi:10.1016/j.techfore.2021.120743

Cited by 237 publications

(166 citation statements)

References 55 publications

Supporting

Mentioning

157

Contrasting

Unclassified

Order By: Relevance

“…Various tools such as GIS and remote sensing are proposed to assess bushfire's impacts and associated disaster management response [29,30]. Notably, in the post-disaster period, the disaster relief agencies' focus is on locating and reaching the stranded people to rescue them [4,31,32]. However, in many cases, the number of sites to be visited for this purpose is very high.…”

Section: The 2019-2020 Victorian Bushfires Impactsmentioning

confidence: 99%

“…The limited vehicles, human resources, instant emergency response, and other limiting factors intensify the bushfire's damages. Costs reduction for emergency responses, determining a proper route for vehicles, and locating the target sites are the key decisions for instigating an adequate emergency response plan [30,32,33]. Accordingly, these factors should be considered while planning an appropriate plan of response.…”

Section: The 2019-2020 Victorian Bushfires Impactsmentioning

confidence: 99%

See 1 more Smart Citation

UAV Assisted Spatiotemporal Analysis and Management of Bushfires: A Case Study of the 2020 Victorian Bushfires

Munawar

Ullah

Khan

et al. 2021

Fire

Self Cite

View full text Add to dashboard Cite

Australia is a regular recipient of devastating bushfires that severely impacts its economy, landscape, forests, and wild animals. These bushfires must be managed to save a fortune, wildlife, and vegetation and reduce fatalities and harmful environmental impacts. The current study proposes a holistic model that uses a mixed-method approach of Geographical Information System (GIS), remote sensing, and Unmanned Aerial Vehicles (UAV)-based bushfire assessment and mitigation. The fire products of Visible Infrared Imager Radiometer Suite (VIIRS) and Moderate-resolution Imaging Spectroradiometer (MODIS) are used for monitoring the burnt areas within the Victorian Region due to the 2020 bushfires. The results show that the aggregate of 1500 m produces the best output for estimating the burnt areas. The identified hotspots are in the eastern belt of the state that progressed north towards New South Wales. The R2 values between 0.91–0.99 indicate the fitness of methods used in the current study. A healthy z-value index between 0.03 to 2.9 shows the statistical significance of the hotspots. Additional analysis of the 2019–20 Victorian bushfires shows a widespread radius of the fires associated with the climate change and Indian Ocean Dipole (IOD) phenomenon. The UAV paths are optimized using five algorithms: greedy, intra route, inter route, tabu, and particle swarm optimization (PSO), where PSO search surpassed all the tested methods in terms of faster run time and lesser costs to manage the bushfires disasters. The average improvement demonstrated by the PSO algorithm over the greedy method is approximately 2% and 1.2% as compared with the intra route. Further, the cost reduction is 1.5% compared with the inter-route scheme and 1.2% compared with the intra route algorithm. The local disaster management authorities can instantly adopt the proposed system to assess the bushfires disasters and instigate an immediate response plan.

show abstract

Section: The 2019-2020 Victorian Bushfires Impactsmentioning

confidence: 99%

Section: The 2019-2020 Victorian Bushfires Impactsmentioning

confidence: 99%

UAV Assisted Spatiotemporal Analysis and Management of Bushfires: A Case Study of the 2020 Victorian Bushfires

Munawar

Ullah

Khan

et al. 2021

Fire

Self Cite

View full text Add to dashboard Cite

show abstract

“…Considering that Karachi is a major industrial and metropolitan city of Pakistan, it is important to prevent such instances from occurring in the future by building city resilience or reducing the causative factors for such catastrophic events or disasters [59,60]. For this reason, the urban overheating effect, along with its associated factors such as the UHI, must be studied and catered for in Karachi.…”

Section: Study Areamentioning

confidence: 99%

Urban Overheating Assessment through Prediction of Surface Temperatures: A Case Study of Karachi, Pakistan

Aslam

Maqsoom

Khalid

et al. 2021

IJGI

Self Cite

View full text Add to dashboard Cite

Global climate has been radically affected by the urbanization process in recent years. Karachi, Pakistan’s economic hub, is also showing signs of swift urbanization. Owing to the construction of infrastructure projects under the China-Pakistan Economic Corridor (CPEC) and associated urbanization, Karachi’s climate has been significantly affected. The associated replacement of natural surfaces by anthropogenic materials results in urban overheating and increased local temperatures leading to serious health issues and higher air pollution. Thus, these temperature changes and urban overheating effects must be addressed to minimize their impact on the city’s population. For analyzing the urban overheating of Karachi city, LST (land surface temperature) is assessed in the current study, where data of the past 20 years (2000–2020) is used. For this purpose, remote sensing data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) and Moderate-Resolution Imaging Spectroradiometer (MODIS) sensors were utilized. The long short-term memory (LSTM) model was utilized where the road density (RD), elevation, and enhanced vegetation index (EVI) are used as input parameters. Upon comparing estimated and measured LST, the values of mean absolute error (MAE), mean square error (MSE), and mean absolute percentage error (MAPE) are 0.27 K, 0.237, and 0.15% for January, and 0.29 K, 0.261, and 0.13% for May, respectively. The low MAE, MSE, and MAPE values show a higher correlation between the predicted and observed LST values. Moreover, results show that more than 90% of the pixel data falls in the least possible error range of −1 K to +1 K. The MAE, MSE and MAPE values for Support Vector Regression (SVR) are 0.52 K, 0.453 and 0.18% and 0.76 K, 0.873, and 0.26%. The current model outperforms previous studies, shows a higher accuracy, and depicts greater reliability to predict the actual scenario. In the future, based on the accurate LST results from this model, city planners can propose mitigation strategies to reduce the harmful effects of urban overheating and associated Urban Heat Island effects (UHI).

show abstract

“…Accordingly, there has been a boom in developing CFs in the BE. Ranging from the wider domains such as construction, smart cities, and architecture to case-specific contexts such as adopting blockchain-based smart contracts in real estate or developing novel Six Sigma methods for city management, the development of CFs is on the rise in BE [7,18,19].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, in the BE context, there is a lack of CFs, mainly in industry 4.0 technologies. This is more evident in the digital technologies domain due to the lack of infrastructure and rigidity of the BE managers in adopting or investing in such technologies [5,18]. As discussed by Ullah et al [5], the attitude by some BE managers is that "if it is not broken or not working, stick to it and keep working".…”

mentioning

confidence: 99%

A Beginner’s Guide to Developing Review-Based Conceptual Frameworks in the Built Environment

Ullah

2021

Architecture

Self Cite

View full text Add to dashboard Cite

With the boom of industry 4.0 technologies and their adoption in the built environment (BE), conceptual frameworks (CFs) are increasingly developed to facilitate the adoption. It is becoming increasingly important to develop a standard or guide for new BE research entrants and aspirants who want to conduct a systematic literature review and develop such CFs. However, they struggle to find a standard and reproducible procedure to conduct systematic literature reviews and develop CFs successfully. Accordingly, the current study based on requests and inspirations from nascent BE researchers presents guidelines about conducting such studies. A simplistic yet reproducible methodology is presented that can be followed by BE research aspirants to produce high-quality and well-organized review articles and develop a CF. Using an example of big data-based disaster management in smart cities, the current study provides a practical example of conducting a systematic literature review and developing a CF. It is expected that this research will serve as a baseline for conducting systematic studies in the BE field that other fields of science can adopt. Further, it is expected that this study will motivate the nascent BE researchers to conduct systematic reviews and develop associated CFs with confidence. This will pave the way for adopting disruptive technologies and innovative tools in the BE in line with industry 4.0 requirements.

show abstract

Risk management in sustainable smart cities governance: A TOE framework

Cited by 237 publications

References 55 publications

UAV Assisted Spatiotemporal Analysis and Management of Bushfires: A Case Study of the 2020 Victorian Bushfires

UAV Assisted Spatiotemporal Analysis and Management of Bushfires: A Case Study of the 2020 Victorian Bushfires

Urban Overheating Assessment through Prediction of Surface Temperatures: A Case Study of Karachi, Pakistan

A Beginner’s Guide to Developing Review-Based Conceptual Frameworks in the Built Environment

Contact Info

Product

Resources

About