gholamreza janbaz ghobadi; maral firoozmand; reza lahmian; Sadroddin Motevalli
Abstract
Cityscape is the first visual characteristic of a city, which is the result of spatial interactions between land-uses and urban activities. According to the experiences of urban science, an unfavorable urban landscape has a negative impact on all internal processes of the city in the short term, and ...
Read More
Cityscape is the first visual characteristic of a city, which is the result of spatial interactions between land-uses and urban activities. According to the experiences of urban science, an unfavorable urban landscape has a negative impact on all internal processes of the city in the short term, and in the long term, it causes the instability of urban development in various dimensions. Since the structural factors are one of the most important options that form the facade and landscape of the city, the purpose of the present study is to analyze the role of structural-physical factors on the quality of the landscape of Babol city. The present research is done in the central part of Babol city by descriptive-analytical method and data were collected by field methods and questionnaire. SPSS software and Regression method were used for statistical analysis. The results show that the urban landscape of Babol is not in a favorable condition in terms of structural-physical components. On the other hand, indicators such as "access to urban services and facilities and open and green spaces", and "pedestrian and bicycle performance" have respectively had the greatest and least impact on the degree of desirability of the quality of the urban landscape of Babol.
Mohsen Ahadnejad Reveshty; Milad Hasanalizadeh
Abstract
Up-to-date information on land use and land cover, especially in urban areas, and awareness of its changes and developments over a period of time is very important for planners and managers. The present study aims to monitor spatial changes in land use and land cover in the urban area of Babol and Amirkola ...
Read More
Up-to-date information on land use and land cover, especially in urban areas, and awareness of its changes and developments over a period of time is very important for planners and managers. The present study aims to monitor spatial changes in land use and land cover in the urban area of Babol and Amirkola in the period 1986 to 2020 and forecasting it for 2030. The present research is applied based on the purpose and descriptive-analytical based on the nature and method. Data are taken from Landsat 5 and 8 satellite images. The Fuzzy ARTMAP model was used to detect and classify images, the cross-tab and LCM models were used to analyze land use and land cover changes, and the CA-Markov model was used to predict land use and land cover in 2030 in the IDRISI TerrSet software environment. ArcGIS software was also used to draw the final maps. The results showed that the conversion of garden-use and irrigated agriculture into the built environment has a growing trend, so that these lands have increased from 11.3% in 1986 to 19.7% in 2020 and according to the forecast by 2030, built-up land will reach 22.2% of the total area. Also, the ratio of built-up to non-built land has increased from 12.8 percent in 1986 to 24.5 percent in 2020, and is projected to reach 28.6 percent in 2030, which shows the high rate of garden and agricultural lands destruction.
Mohammad Karimi Firozjaei; Majid Kiavarz; Mohsen Kalantari
Abstract
Nowadays, interlinking of structural, social, environmental and economic aspects of cities is a major problem which results from unplanned horizontal expansion of cities and their land-use changes. The purpose of the present study is to investigate the land use changes and physical expansion of Babol ...
Read More
Nowadays, interlinking of structural, social, environmental and economic aspects of cities is a major problem which results from unplanned horizontal expansion of cities and their land-use changes. The purpose of the present study is to investigate the land use changes and physical expansion of Babol city during the last 30 years and to predict the land use change’s trend for the future. To do so, Landsat multi-temporal images of 1985, 1992, 2000, and 2015 were used. The maximum likelihood algorithm was applied for classification of land use and cross tab model was used for investigation of land use changes. The scattered expansion of the city was examined through Shannon’s entropy index. Moreover, the CA-Markov model was applied to predict the land use change’s trend as well as the physical expansion of Babol city. Results of the present study confirmed the extreme physical expansion of Babol city during the last three decades. Such an expansion was the main reason for degradation of agricultural lands and green spaces around the suburbs. The growth rate of the built-up areas was 92%. The more distance from the built-up areas the less changes occurred in land uses. Also, the Shannon entropy index was increased from 0.73 in 1985 to 0.8 in 2015 which is an indication of the scattered expansion of the city. It can be predicted that besides decreasing 704 hectares of agricultural areas, a 33% growth will be occurred in built up areas from 2015 to 2040. It consequently requires the specific attention of urban managers and planners.
