Driving factors of urban sprawl in Giza governorate of the Greater Cairo Metropolitan Region using a logistic regression model

Osman, T. A.; Divigalpitiya, Prasanna; Takafumi, Arima

doi:10.1080/12265934.2016.1162728

Cited by 34 publications

(26 citation statements)

References 29 publications

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“…The alterations in the spatial patterns due to IU in the study area during the last three decades were supported by improvements in transportation networks and the accomplishment of several governmental development plans [66,67]. With the growth in residents' knowledge and public culture, diverse DF has led to alterations to the terrain in the previous decades.…”

Section: Discussionmentioning

confidence: 99%

Quantifying the Driving Forces of Informal Urbanization in the Western Part of the Greater Cairo Metropolitan Region

Osman

Divigalpitiya²,

Takafumi

2016

Environments

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This paper discusses the driving forces (DFs) of informal urbanization (IU) in the greater Cairo metropolitan region (GCMR) using the Analytic Hierarchy Process (AHP). The IU patterns in the GCMR have been extremely influenced by seven DFs: geographical characteristics, availability of life facilities, economic incentives, land demand and supply, population increase, administrative function, and development plans. This research found that these forces vary significantly in how they influence urban growth in the three study sectors, namely, the middle, north, and south areas in the western part of the GCMR. The forces with the highest influence were economic incentives in the middle sector, population increase in the north sector, and the administrative function in the south sector. Due to the lower availability of buildable land in the middle sector, the land demand and supply force had a lesser influence in this sector compared to in the north and south sectors. The development plans force had medium influence in all sectors. The geographical characteristics force had little influence in both the middle and the north sectors, but higher influence than economic incentives, availability of life facilities, and development plans in the south sector. Because of the spatial variances in life facilities organizations in the GCMR, the life facilities availability force had little effect on IU in the south sector.

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Section: Discussionmentioning

confidence: 99%

Quantifying the Driving Forces of Informal Urbanization in the Western Part of the Greater Cairo Metropolitan Region

Osman

Divigalpitiya²,

Takafumi

2016

Environments

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“…Thus, if the insignificance of land use entropy is accepted as is, this result supports the notion that the entropy is not related to other land use variables in defining compact development. In general, a land use variable is believed to be correlated with others through spatial multicollinearity [21,65,66], but the entropy is not necessarily so. Many U.S. communities that are densely populated often lack workplaces, stores, and leisure facilities [67]; *SEM requires one factor loading per factor to be fixed to one for model identification purposes [39], and relative to their standardized counterparts, unstandardized coefficients do not carry meaningful information.…”

Section: Measurement Modelmentioning

confidence: 99%

SEM application to the household travel survey on weekends versus weekdays: the case of Seoul, South Korea

Gim

2018

Eur. Transp. Res. Rev.

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Purpose This study analyzes the relationship that land use has with weekend travel in comparison to weekday travel. Unlike previous studies, it uses the same sample for two models that are specified to test the relationship separately for weekday and weekend travel. Methods Structural equation modeling is employed to test the land use-travel relationship. A comparison is made using two mode-specific travel measures: trip frequency and travel time.Results On weekday travel, land use in Seoul tends to reduce automobile trips and to add transit and nonmotorized trips. This does not lead to a reduction in the total frequency of weekday trips. Instead, an overall reduction occurs in the frequency of weekend trips because the addition of transit and nonmotorized trips is less than the reduction of automobile trips. Conclusions The application of structural equation modeling to a Seoul household travel survey confirms the opposing role of land use in travel mode choices on weekdays versus weekends.

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“…The logistic regression model (LR) [16] is a type of classical model in the field of advertising click rate prediction and is also a kind of probability discrimination model belonging to the set of classification models. The LR model is shown at the top of Fig.…”

Section: Modeling Click-through Rate By Means Of Lrmentioning

confidence: 99%

A CTR Prediction Approach for Text Advertising Based on the SAE-LR Deep Neural Network

Jiang¹,

Gao²,

Dai³

2017

J Inf Process Syst

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For the autoencoder (AE) implemented as a construction component, this paper uses the method of greedy layer-by-layer pre-training without supervision to construct the stacked autoencoder (SAE) to extract the abstract features of the original input data, which is regarded as the input of the logistic regression (LR) model, after which the click-through rate (CTR) of the user to the advertisement under the contextual environment can be obtained. These experiments show that, compared with the usual logistic regression model and support vector regression model used in the field of predicting the advertising CTR in the industry, the SAE-LR model has a relatively large promotion in the AUC value. Based on the improvement of accuracy of advertising CTR prediction, the enterprises can accurately understand and have cognition for the needs of their customers, which promotes the multi-path development with high efficiency and low cost under the condition of internet finance.

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Driving factors of urban sprawl in Giza governorate of the Greater Cairo Metropolitan Region using a logistic regression model

Cited by 34 publications

References 29 publications

Quantifying the Driving Forces of Informal Urbanization in the Western Part of the Greater Cairo Metropolitan Region

Quantifying the Driving Forces of Informal Urbanization in the Western Part of the Greater Cairo Metropolitan Region

SEM application to the household travel survey on weekends versus weekdays: the case of Seoul, South Korea

A CTR Prediction Approach for Text Advertising Based on the SAE-LR Deep Neural Network

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