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2 2024

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Collective residential neighbourhoods in Algeria: between reality and planning. A case study of the 800 Housing Units neighbourhood in Batna City

Barkat Zine Elabidine, Seghiri Djamel, Houbib Hanane

Geomatics, Landmanagement and Landscape

2024

no. 3

73--85

The housing problem, or housing crisis, affecting most Algerian cities has compelled political and executive authorities at all levels (central, regional, and local) to adopt numerous housing policies aimed at reducing the significant gap between the two sides of the housing equation (high demand – low supply). Additionally, the challenge of providing housing units to realize all planned housing projects troubles local officials. Therefore, there has been a trend towards prioritizing collective housing projects to rationalize property consumption and enhance the real estate portfolio of local communities. Batna city has had its share of these collective housing programs, and our research paper focused on its deteriorating reality due to numerous changes affecting both the built and unbuilt environment. This has led to a decline in the quality of life in these neighbourhoods, prompting the intervention of relevant authorities to launch ‘urban improvement’ projects to rectify the imbalances recorded in the urban aspect of most collective residential neighbourhoods, including the 800 Housing Units neighbourhood (800-Unit Neighbourhood) as a good example. The process has been initiated to stop the aforementioned area from a deteriorating and elevate it from poor condition to a better, if not ideal, situation. In conclusion, we recommend that urban laws be activated to halt any illegal alterations or modifications, and above all, that design aspect of collective housing units during the planning phase be considered to align with residents’ preferences before the latter occupy them and make changes, thereby avoiding visual pollution with urban concepts.

Analysis of constraints to urban expansion in the city of M’Sila using the Analytic Hierarchy Process (AHP) and Geographic Information Systems (GIS)

Houbib Hanane, Kalla Mehdi

Geomatics, Landmanagement and Landscape

2024

no. 4

123--135

The presented study aims to deepen the understanding of urban expansion and land resource management to meet growing urbanization needs and identify constraints associated with this phenomenon. The main objective is to propose a model that integrates the Analytic Hierarchy Process (AHP) and Geographic Information Systems (GIS) – a method recognized for addressing complex spatial issues. By defining the criteria related to the targeted objectives and by mapping attribute and geographic data at the municipal level of M’sila, we have prioritized the identified indicators, quantitatively evaluated the phenomenon, and compared various development scenarios for the studied areas. This quantitative evaluation was carried out through spatial simulation, including data intersection and multicriteria aggregation based on the AHP method, which allowed participatory modeling of factors according to their respective importance. Moreover, this process facilitated the identification of optimal land use for urbanization, while assisting specialists in choosing the most appropriate urban planning orientations and objectives for the studied areas.

Przedstawione badanie ma na celu pogłębienie zrozumienia ekspansji miejskiej i zarządzania zasobami gruntów w celu zaspokojenia rosnących potrzeb urbanizacyjnych oraz zidentyfikowanie ograniczeń związanych z tym zjawiskiem. Głównym celem jest zaproponowanie modelu, który integruje proces hierarchii analitycznej (AHP) i systemy informacji geograficznej (GIS) – metodę uznaną za rozwiązującą złożone problemy przestrzenne. Poprzez zdefiniowanie kryteriów związanych z celami docelowymi i mapowanie danych atrybutowych i geograficznych na poziomie gminy M'sila, ustaliliśmy priorytety zidentyfikowanych wskaźników, ilościowo oceniliśmy zjawisko i porównaliśmy różne scenariusze rozwoju dla badanych obszarów. Ta ilościowa ocena została przeprowadzona poprzez symulację przestrzenną, w tym przecięcie danych i agregację wielokryterialną w oparciu o metodę AHP, co umożliwiło partycypacyjne modelowanie czynników zgodnie z ich odpowiednim znaczeniem. Ponadto proces ten ułatwił identyfikację optymalnego wykorzystania gruntów pod urbanizację, pomagając jednocześnie specjalistom w wyborze najbardziej odpowiednich orientacji i celów planowania urbanistycznego dla badanych obszarów.