The story of five MENA cities: Urban growth prediction modeling using remote sensing and video analytics

Jaad, Ahmed; Abdelghany, Khaled

doi:10.1016/j.cities.2021.103393

Cited by 21 publications

(11 citation statements)

References 61 publications

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“…The EMR includes 21 predominantly Muslim countries in the Middle East and North Africa (Usmanova and Mokdad 2013). Largely due to the growth of the urban populations in this region, the EMR market continues to create opportunities for marketers (Jaad and Abdelghany 2021). This is especially true in the food services industry, where a wide variety of international restaurants, coffee shops, and other retail food establishments have been flourishing in recent years (Batat 2021).…”

Section: Background and Hypothesesmentioning

confidence: 99%

Using Direct Observation to Examine the Relationship between Smoking and Consumption Patterns in a Middle Eastern Food Services Setting

Heiens¹,

Pleshko²

2023

Anthropology of the Middle East

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Despite the widespread implementation of tobacco control efforts, tobacco use persists in the Eastern Mediterranean Region (EMR), which is projected to experience the smallest decline in worldwide smoking rates. Although researchers have never explicitly examined the relationship between smoking and consumption behaviour, the two phenomena may be interrelated, especially in social settings. Utilising unobtrusive observational research, the current study examines the influence of smoking and social interaction on food and beverage purchases in one specific EMR country, Kuwait. The findings indicate that smokers tend to congregate in larger parties, purchase more items, spend more overall, and exhibit longer dwell time in comparison to their non-smoking counterparts. One explanation is that smoking and social interaction remain entwined in the social and cultural traditions of the region.

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Section: Background and Hypothesesmentioning

confidence: 99%

Using Direct Observation to Examine the Relationship between Smoking and Consumption Patterns in a Middle Eastern Food Services Setting

Heiens¹,

Pleshko²

2023

Anthropology of the Middle East

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“…Urban growth studies help recognize locations and directions of future growth, evaluate infrastructure and need for public service, and estimate the integration of new developments with the present city structure. Rapid urbanization continuously creates pressure on agriculture, vacant, wasteland etc., (Ejaro & Abubakar, 2013; Jaad & Abdelghany, 2021). Growth in an urban built‐up area depends on various factors and may differ for different cities (Kang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Spatio‐temporal analysis of land use/land cover change and urban growth dynamics of Silchar City, India using very high‐resolution satellite data and the Shannon entropy model

2023

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Silchar City and its surrounding areas have witnessed massive population growth in the last few decades due to local and migrated peoples, which led to the rapid transformation of its land use/land cover (LU/LC) pattern. The spatio‐temporal very high‐resolution satellite data (VHRS) and on‐screen visual interpretation techniques were used for detailed large‐scale LU/LC analysis. The LU/LC classification of the City has been prepared for 2005, 2011, and 2018 with five primary and a further 17 sub‐classes. In the present study use was made of the Census of India reports from 1991 to 2011, and the geometrical increase method was used to evaluate the ward‐level population, population density, and land requirements for residential purposes; these have been predicted from 2021 to 2051 with every 10 years interval. The ity's wards have been classified into five zones, and the Shannon entropy model has been applied to analyze the degree of randomness and trends of urban built‐up growth. The obtained results indicate that Silchar City is compact near the center, which follows the infill built‐up growth trend. However, as the distance increased from its center, the scattering with an infill growth pattern was observed. The accuracy assessment techniques are used to validate the results of the classification. The results of this study can provide detailed information for land‐use planners, researchers, policy‐decision makers, and municipal authorities.

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“…The prediction outcome calls for the institution of novel environmental protection measures and the promotion of sustainable growth. Jaad and Abdelghany (2021) studies the urban growth pattern in five major cities one of them citie of casablanca. The study uses a machine learning (ML)-based modeling framework that combines computer vision and remote sensing techniques to produce highfidelity urban growth predictions.…”

Section: Introductionmentioning

confidence: 99%

Modeling Dynamic Urban Growth Using Cellular Automata and Geospatial Technique: Case of Casablanca in Morocco

2022

IJG

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The rapid urbanisation contribute to the spatial expansion in cities.However, the rapid and unmanaged urban growth, degraded the urban environment. In casablanca the economic engine of Morocco, the rapid urbanization was a result of demographic explosion, rural exodus, and the introduction of new urban projects. Understanding the interdependencies between urban growth patterns, infrastructure, and socioeconomic indicators is a critical step in achieving a sustainable urban development. In order to help Casablanca's sustainable growth, this study used remote sensing data to evaluate past urban land use changes. This study was conducted to examine past urban land cover change on the basis of remote sensing data collected between 1989 and 2019. To forecast the city's expansion for the years 2019e2029, an integrated Cellular Automata urban growth model was used. The research looked into the CA algorithm's capacity to work independently for urban development modeling satellite data from four time periods at equal intervals, as well as population density, distance to the city center, slope, and distance to roadways, are used for this purpose. Between 1989 and 2019, the satellite-based LULC reported an increase of 61.77Km2 (an 88 percent increase). The principle component analysis (PCA) technique was used to analyze geographic variation and found good classification similarity ranging from 87 to 90%. Based on the anticipated LULC, the built-up area will grow to 131.88 km2 in 2019, mostly in the west and southwest. Urbanization will replace and transform other LULC (net loss of 15.348Km2) between 2019 and 2029, followed by plant cover (net loss of 1.608Km2).

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The story of five MENA cities: Urban growth prediction modeling using remote sensing and video analytics

Cited by 21 publications

References 61 publications

Using Direct Observation to Examine the Relationship between Smoking and Consumption Patterns in a Middle Eastern Food Services Setting

Using Direct Observation to Examine the Relationship between Smoking and Consumption Patterns in a Middle Eastern Food Services Setting

Spatio‐temporal analysis of land use/land cover change and urban growth dynamics of Silchar City, India using very high‐resolution satellite data and the Shannon entropy model

Modeling Dynamic Urban Growth Using Cellular Automata and Geospatial Technique: Case of Casablanca in Morocco

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