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

ABSTRACT

Since the 1950s, The Greater Cairo Metropolitan Region (GCMR) has witnessed an unprecedented rate of urban sprawl that has been mainly concentrated in arable lands against urban planning regulations, and has presented a critical challenge to the urban environment and serious corrosion for arable lands. Thus, the need to identify the driving factor of sprawl is crucial to understand the future of the GCMR urban environment and to overcome the serious challenges of rapid urbanization. We focused on the Giza governorate as a critical area in the GCMR and divided it into three sub-sectors to collect data and analyse. A primary list of driving factors was identified by literature review. Later this list was narrowed down to seven factors after interviews with local urban experts and consideration of the availability of data. Next, a logistic regression analysis was used to evaluate those factors with data derived from existing maps and remotely sensed data for the period of 2004–2013. An operating characteristic (ROC) evaluation of the logistic regression analysis gave high accuracy rates for the entire study area. The findings of the research revealed decreasing significance of the CBD and Nile River as drivers of sprawl. The most significant factors according to the analysis were neighbourhood factors, local urban centres, and accessibility factors of distances to urban uses and major roads. The research suggests more future urban expansion by the existing urban cores and along major roads, leading to more informal urban settlements. It also points to the possibility of persistent deterioration in the urban built environment and agricultural lands. Thus, these findings should be applied to actual urban planning policies, and development regulations should be strengthened to protect the urban environment from further deterioration.

KEYWORDS:

• Urban sprawl
• driving factors
• logistic regression
• GCMR

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

Taher Osman http://orcid.org/0000-0001-9349-5249

Prasanna Divigalpitiya http://orcid.org/0000-0002-1593-1305

Takafumi Arima http://orcid.org/0000-0002-8400-2980