Urban growth and transport infrastructure interaction in Jeddah between 1980 and 2007

Aljoufie, Mohammed; Brussel, M.J.G.; Zuidgeest, Mark; Maarseveen, M.F.A.M. van

doi:10.1016/j.jag.2012.07.006

Cited by 64 publications

(40 citation statements)

References 51 publications

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“…Spatial factors, like distance to city center, rivers, farmland and roads, should be chosen as factors in driving forces analysis. As they are more persuasive and explicit in space than spatial statistics, Moran's I, geographical weighted regression models, and Geodetector have been used in the quantitative analysis of driving forces [62][63][64].…”

Section: Limitations and Future Workmentioning

confidence: 99%

Quantifying Urban Land Sprawl and its Driving Forces in Northeast China from 1990 to 2015

et al. 2018

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Drastic urbanization has resulted in numerous problems worldwide, and many studies were devoted to individual cities. There is an urgent need to quantify urbanization patterns and illustrate their driving forces in the regional area on a large scale over a longer time period. This study produced a land cover dataset to characterize sequential urban land expansion in Northeast China from 1990 to 2015 using object-based backdating classification and calculating the expansion index. The drivers were investigated using Pearson correlation analysis and the multiple linear stepwise regression model. The results revealed that the total area of urban land increased by 43.15% from 1990 to 2015, mainly in the middle part of the study area, and especially in the coastal area of Liaoning. Liaoning had the fastest growth rate, while Heilongjiang showed a decrease in growth rate rankings. Urban land expanded northward and southward within Harbin City, towards the west and east within Changchun City, and relatively equally in all directions within Shenyang City. Expansion patterns changed from edge expansion (42%) to outlying expansion (47%). Urban land of Liaoning and the Eastern Inner Mongolia Autonomous region expanded with similar patterns as the entire area, but that of Heilongjiang grew in an opposite pattern, and Jilin maintained outlying major expansion. The influence of factors on urban land sprawl varied temporally. Tertiary industry product, gross domestic product, secondary industry product, total population and urban population were driving factors of urban land sprawl in Northeast China from 1990 to 2015. This research provides quantitative methods for better understanding urban land dynamics and devising feasible strategies for sustainable urban development.

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Section: Limitations and Future Workmentioning

confidence: 99%

Quantifying Urban Land Sprawl and its Driving Forces in Northeast China from 1990 to 2015

et al. 2018

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“…Aljoufie, et al [16] conduct research using the eight urban growth and transportation indices to analyse the relationship between spatial-temporal changes of urban growth and transportation. In the same year to explore the reciprocal spatial-temporal effects of transport infrastructure and urban growth in Jeddah city from 1980-2007, Aljoufie, et al [17] detect the spatial temporal mutual effects of transport infrastructure and urban growth using study approach for the case of mono-centric urban structure cities.…”

Section: Related Workmentioning

confidence: 99%

Transportation Mode Selection using System Dynamics Approach

Setiafindari¹,

Anggara²,

Masril³

2017

IJSEIA

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“…Similarly, the scattering of new urban areas would lead to transport network development, once a certain level of sprawl is reached and the road project is approved. Then, a changing spatial influence of transport infrastructure expansion on urban expansion and vice versa over time is expected, as Aljoufie et al (2013) have found. Therefore, the delayed decision-making of urban and/or transport development would lead to spatial mismatches between sprawl patterns and expansion of transport infrastructures, followed by the subsequent landscape fragmentation.…”

Section: Time-lagged Response Of Planning and Development Decisionsmentioning

confidence: 77%

Multi-scale mismatches between urban sprawl and landscape fragmentation create windows of opportunity for conservation development

2016

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ContextUrban sprawl and the expanding transportation infrastructure drive land consumption and landscape fragmentation, causing environmental deterioration and loss of species. Current understanding of how these drivers interact to shape landscape fragmentation is still poor. However, a strong correlation between urban sprawl and landscape fragmentation patterns is commonly assumed. Objectives Our main objective was to test the strength, non-stationarity, and scale-dependency of the relationship between urban sprawl and landscape fragmentation patterns ('sprawl-fragmentation relationship'). Subsequently, we propose an extended framework for the links between urban sprawl, expansion of transport infrastructure, and landscape fragmentation.Methods We quantified spatial patterns of urban sprawl and landscape fragmentation for mainland Spain at multiple scales. We then fitted global regression models and geographically weighted regression models with metrics of landscape fragmentation and urban sprawl. Results Most variation in landscape fragmentation values (almost 80 % on average) is not explained by urban sprawl metrics through global modeling. Local models show substantial improvements in model performance, with an average of 37 % of the variance remaining unexplained. The contribution of urban sprawl to landscape fragmentation patterns varies locally and depends on scale, with higher contributions at coarser scales and at higher organizational levels. Conclusions Our investigation revealed three critical characteristics of the sprawl-fragmentation relationship: it does not prevail, is non-stationary, and scale-dependent. We propose four mechanisms that may have resulted in this mismatch: scale, time-lagged development, spatial arrangement of development, and other external variables including teleconnections. These spatial mismatches provide windows of opportunity for conservation through better development strategies.

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Urban growth and transport infrastructure interaction in Jeddah between 1980 and 2007

Cited by 64 publications

References 51 publications

Quantifying Urban Land Sprawl and its Driving Forces in Northeast China from 1990 to 2015

Quantifying Urban Land Sprawl and its Driving Forces in Northeast China from 1990 to 2015

Transportation Mode Selection using System Dynamics Approach

Multi-scale mismatches between urban sprawl and landscape fragmentation create windows of opportunity for conservation development

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