Identify and organize informal habitats (Case study: Boroujerd Ebrahim Abad neighborhood)
Abstract. Most of the organizations and institutions do not have specific program in unusual neighborhoods, including the case, and those who implemented, or have implemented some programs or are going to implement, the activities are just from the specific angle of their own organizational profits, and cannot make any difference in these neighborhoods. These programs cannot make considerable changes in the mentioned neighborhoods, and on the other hand, empowerment staff has facilitator and guide role in the empowerment of the target neighborhoods and in addition to intelligent use all capacity of the organizations and different governmental and public institutions, it is necessary to use all capacities and capabilities of the residents of these areas. Ebrahim Abad neighborhood which is one of the main and old neighborhoods of Boroujerd City, with an area of 493206 square meters, has about 17244 residents. This neighborhood is in within the limits of region 8 of Boroujerd City. Considering that the area of region 8 is 2687046 square meters, the Ebrahim Abad is 18.35% of total area of the region. The population of the region is also 43607, so Ebrahim Abad neighborhood constitutes 39.5% of total population of region 8.
To explain the subject in this study, the criteria including structural and urban planning, fundamental and service, social and cultural, economic, legal and ownership, operational and environmental principles have been exploited that, considering all of them, it is possible to recognize the neighborhoods with informal settlements from the urban official neighborhoods. These principles have been used in this study in order to identify the informal neighborhoods of Boroujerd City from its other neighborhoods. As the research method in the informal settlement neighborhoods, the number of households and neighborhood area were assessed on the base of latest statistic. Sample numbers were specified with Couchran sampling method. Also, the type of sampling was random. After completing the questionnaire and data collection, the results were analyzed and by swot and were used in the process of research. In this way, all tools and methods have been used in these studies, as much as possible.
The result of this survey is to identify some issues and problems such as texture problems ((poor access, insufficient lighting, poor coverage, exhaustion, etc.), lack of fundamental services in various areas, youth unemployment, low income, seasonal employment, exhaustion and low quality construction and houses materials, garbage and sewage and herd of homes and annoying activities in environment and insects and sly animals, that some strategies and solutions are presented in order to eliminate them.
Adhikari.M. at all (2003). Water Demand Forecasting for Poultry Production Selected Paper Prepared for AAEA
Campo, I.S. and J.C. Beghin.(2005). Dairy Food Consumption, Production, and Policy in Japan. Working Paper 05-WP 401. Center for Agricultural and Rural Development
Chorng.s.(2005). Model identification of arima family using genetic algorithms. Applied mathematics and computation pp 164
-Deaton, A. S. & G. Laroque. 1992. On the behavior of commodity prices, Review of Economic Studies, 59:1-23
Halicioglu, F. (2004). An ARDL Model of International Tourist Flows to Turkey. Global Business and Economics Review.
Houston. & at all.(2003). Forecasting Broiler Water Demand Econometric & Times Series Analysis Selected Paper Prepared For Western Ag. Econ
Joy.H. and Barry. r (2001). Principles of operations management. Prentice Hall Inc. new jersey
Levin.R. (1989). Quantitative approaches to management. Mac grow hill
Monroe . k.(1990) : Pricing’ making profitable decision Mac grow hill international ‘ Editions
Mello, M.D. and K. S. Nell.( 2001). The Forecasting Ability of a Co integrated VAR Demand System With Endogenous vs. Exogenous Expenditure Variable: An Application to the UK Imports of Tourism From Neighboring Countries”
Sabur.r.(1993). Analysis of rice price of in immensity town market. Pattern and forecasting Bangladesh. G . of. Ag. Eco (16)
Soares, L and M.C. Medeiros. (1999). Modeling and forecasting short-term electric load demand: a two step methodology.
Roger.k.(1984). Forecasting future price trends in the u.s. fresh and processed potato market (g.of food distribution research )
Volkan.s.(2006). Forecasting production of fossil fuel sources in turkey using a comparative regression and arima model. Energy policy 3 4
winter.a.(1996). Expectations’ supply response and marketing boards: an example from Kenya: Ag. Eco (14).