Achieving smart sustainable cities with GeoICT support: The Saudi evolving smart cities

Aina, Yusuf A.

doi:10.1016/j.cities.2017.07.007

Cited by 149 publications

(85 citation statements)

References 53 publications

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“…The results confirm those obtained in the literature with different methodologies. In general terms, the high-resolution maps achieved by with our downscaling method confirm the role of urban green in the mitigation of urban heat waves already investigated through medium resolution remote sensing methods (Aina et al 2017;Maimaitiyiming et al, 2014;Weng & Schubring, 2004;Yuan & Bauer, 2007). Only a few studies have investigated the difference in surface temperature due to the shadow of urban trees and only through ground measured.…”

Section: Lst With Climate Changesupporting

confidence: 77%

Quantifying the impact of trees on land surface temperature: a downscaling algorithm at city-scale

Barbierato

Bernetti

Capecchi

et al. 2019

European Journal of Remote Sensing

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The climate of a city influences the ways in which its outdoor spaces are used. Especially, public spaces intended for use by pedestrians and cyclists, such as parks, squares, residential and commercial streets, and foot and cycle paths will be used and enjoyed more frequently if they have a comfortable and healthy climate. Due to the predicted global temperature increase, urban climate is likely to become more uncomfortable, especially in summer when an increase in heat stress is expected. Urban forestry has been proposed as one approach for mitigating the human health consequences of increased temperature resulting from climate change. The aims of the current research were to (a) provide a transferable methodology useful for analyzing the effect of urban trees on surface temperature reduction, particularly in public spaces, and (b) provide high-resolution urban mapping for adaptation strategies to climate change based on green space projects. To achieve the established aims, we developed a methodology that uses multisource data: LiDAR data, high-resolution Landsat imagery, global climate model data from CMIP5 (IPPC Fifth Assessment), and data from meteorological stations. The proposed model can be a useful tool for validating the efficiency of design simulations of new green spaces for temperature mitigation. ARTICLE HISTORY

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Section: Lst With Climate Changesupporting

confidence: 77%

Quantifying the impact of trees on land surface temperature: a downscaling algorithm at city-scale

Barbierato

Bernetti

Capecchi

et al. 2019

European Journal of Remote Sensing

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“…Rapid spatial expansion of the city has been driven by the oil economy and automobile dependency.). The ecological footprint coefficient of the city, which is 4.5, is higher than the coefficients of most cities in the neighbouring countries (Aina, 2017;Choguill, 2006). The sustainability of the city is threatened by the increasing demand for water and infrastructure, traffic pollution and encroachment on natural vegetation (ArRiyadh Development Authority (ADA), 2003, UN-HABITAT, 2017).…”

Section: Study Areamentioning

confidence: 83%

Using multisource data and the V-I-S model in assessing the urban expansion of Riyadh city, Saudi Arabia

Aina

Adam

Ahmed

et al. 2019

European Journal of Remote Sensing

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This paper examines the application of remote sensing, based on the Vegetation-Impervious surface-Soil (V-IS) model and spatial metrics, in an urban analysis for promoting sustainability and understanding urban growth theory. In order to improve the accuracy of land-cover classification, spectral angle mapping (SAM), spectral mixture analysis (SMA) and band ratioing were applied on satellite images for land-cover classification and comparison of the discrimination efficiency of these techniques. For the SMA, subsets of the Landsat (2, 3, 4, 5, and 7) and ASTER (1, 2, and 3N) images were selected. After endmember extraction and purification, the Bayesian probability of each component was computed and used for spectral unmixing. The classified images of different years were compared to analyze the changes in land-use and spatial pattern using V-IS , a form of percentage of landscape (PLAND) and annualized urban sprawl index (AUSI). The result indicates that the performance of band ratioing (69% accuracy) is not asgood as that of SAM (75%) and SMA (86%) in discriminating between vegetationand agricultural land. It is concluded from the land-use analysis that the growth dynamics substantiate the urban theory of diffusion and coalescence and urban growth management strategies have not been completely successful.

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“…It is mainly based on information technologies that integrate hardware, software and network technologies to provide real-time awareness of the real world and advanced analytics to help people make more intelligent decisions about alternatives, as well as actions that will optimize business processes and business performances (Washburn et al, 2010). These technologies trigger innovation and leads to higher competitiveness, while ensuring sustainable development (Aina, 2017). As tourism is highly dependent on information technologies (e.g., Benckendorff, Sheldon, & Fesenmaier, 2014;Buhalis, 2003) and in the last years these technologies have been so tightly knitted into the fabric of the travel experience and management of tourism product (Xiang, Tussyadiah, & Buhalis, 2015), the smart phenomenon has also penetrated into the tourism sector.…”

Section: Introductionmentioning

confidence: 99%

Smart Tourism: Concepts and Insights from Central Europe

Gajdošík

2018

Czech Journal of Tourism

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Nowadays, tourism sector needs to adapt to a very fast changing environment and stronger competitiveness. Smart tourism describes the current stage of tourism development influenced by the evolution of information technologies and is becoming a promising way how to face the new market conditions. The aim of the paper is to review the conceptual foundations of smart tourism and to analyse the development of smart tourism initiative in Central Europe, specifically in Slovakia. The paper adopts an exploratory multiple case study methodology, focusing on information technologies used by Central European tourists, willingness of data sharing and the use of the state-of-the-art technologies in tourism businesses. Moreover, the smart concept is examined based on the (SA)6 framework in three tourism destinations. The paper concludes that smart tourism should not be the ultimate goal, but with the help of technology, innovation, and cooperation, it should bring better tourist experience, wellbeing of residents, enhance effectiveness and competitiveness of businesses and destinations, and lead to overall competitive sustainability.

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Achieving smart sustainable cities with GeoICT support: The Saudi evolving smart cities

Cited by 149 publications

References 53 publications

Quantifying the impact of trees on land surface temperature: a downscaling algorithm at city-scale

Quantifying the impact of trees on land surface temperature: a downscaling algorithm at city-scale

Using multisource data and the V-I-S model in assessing the urban expansion of Riyadh city, Saudi Arabia

Smart Tourism: Concepts and Insights from Central Europe

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