Showing 3 results for delfannasab
M Saeed Maleki, M Mahsa Delfannasab, J Javad Yousefvand,
Volume 0, Issue 0 (3-1921)
Abstract
Correct analysis of the housing market situation and correct knowledge of the factors affecting housing, especially in terms of its price and the extent of the impact of each of them, can help planners and officials in the correct analysis and forecast of the future situation and appropriate Provide appropriate solutions. The aim of this study was to identify the drivers of housing price in Khorramabad. Theoretical data were prepared by documentary method and experimental data by survey method based on Delphi method. The statistical population of the study is 30 experts and specialists in the field of housing in Khorramabad city were selected by purposive sampling. Delphi methods, cross-sectional analysis and MicMac software were used to analyze the data. For this purpose, first 23 factors were identified by Delphi method and using descriptive questionnaires by experts. In the next step, the matrix of cross-effects was designed to measure the impact of factors on each other and provided to experts. Finally, out of a total of 23 initial factors affecting housing prices in Khorramabad, 12 factors were identified as key factors of the system. Size: Household income, land price, building density, number of units and floors, access to urban facilities and services, population density, geographical location of lands, uninhabited future uses, number of rooms, security status, size of property plots, demand status.
Ali Shamai, Mahsa Delfannasab, Mohammad Porakrami,
Volume 20, Issue 59 (12-2020)
Abstract
The purpose of this study was to investigate the factors affecting housing prices in the Laleh Park district of Tehran. In this study, the data of all real estate traded in the first six months of the year 2016 was used in the study area. Information about the physical properties of the residential units trained is collected from the Real Estate Market Information System of Iran and is used to obtain information on the accessibility features of residential units traded using ARC GIS software. Multivariate regression analysis has also been used to investigate the factors affecting housing prices. The results of this study showed that the physical factors of housing are more effective than the access factors in the housing prices in this district . Among the selected features, the variables of residential area, parking, and skeletal type had the most positive effect on the price of housing in the area under study. On the other hand, some of the features, such as the distance from the residential unit to the nearest main street, the residential unit to the nearest educational user, the residential unit distance to the nearest health care provider, and the residential unit's age, had a negative effect on the housing price in the Laleh Park district .
Ali Shamai, Habib Fasihi, Mahsa Delfannasab,
Volume 23, Issue 68 (3-2023)
Abstract
Valuable textures play an important role in the development of tourism in various aspects of economic, social, cultural, etc. due to the presence of nostalgic attractions and architectural and cultural relics. The purpose of this study is to examine the factors driving the variables related to recreational plans for the urban tourism development of Tajrish. The collection method is based on library, documentary and field information. . Based on the results of variables such as subsurface development and the establishment of shelter and shelter development in Shohada-Tajrish Hospital, the establishment of a pond of tranquility and development of the Maghsud Beyk river and other variables are independent variables, that is, neither effective nor ineffective. However, creating a cultural and entertainment pole in northern Tehran, promoting eco-tourism, organizing the Emamzadeh Saleh, reviving the trees of Valiasr Street have been considered as variables that have both influencing and influencing the development of tourism in the Tajrish district. However, variables such as neighborhood management, the establishment of a shopping center, the creation of a cultural and entertainment pole in northern Tehran, the expansion of eco tourism surrounding areas of the Tajrish area such as Darband and Derek ... and the development of the Iranian Cinema Museum and ... have been significantly influenced by the strategic area. And determining and strategic in developing the tourism of Tajrish neighborhoods and are considered as key variables.
