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Investigating the factors underlying cities' physical growth: Evidence from the city of Rasht
The manner of physical growth of a city, and the motivators of such growth, is considered to be a major issue in urban studies. This paper aims to identify the factors affecting the urban growth pattern in the city of Rasht, taken as a representative of cities in developing countries. A comparison i...
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Published in: | Cogent social sciences 2017-01, Vol.3 (1) |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | The manner of physical growth of a city, and the motivators of such growth, is considered to be a major issue in urban studies. This paper aims to identify the factors affecting the urban growth pattern in the city of Rasht, taken as a representative of cities in developing countries. A comparison is made with different findings of previous studies to clarify whether there is a universal constant framework for predicting the directions of urban growth. With the assumption that the growth of Rasht is influenced by specific motivating factors, an appropriate theoretical framework and quantitative parameters for urban growth are developed through a literature review. Logistic regression modeling estimates the impact of factors influencing the growth of Rasht. The results show that the first factor with a positive effect on urban growth is roads, and this urban development mostly appears along highways and industrial parks in the south, suggesting that the interaction of land use/transportation is necessary for the future planning of the city. In other words, distance from roads and interurban routes and distance from industrial centers both have a reverse effect on the direction of urban growth. Moreover, the existence of forest lands and high-priced lands have an adverse effect on urban development, but agricultural land (rather than jungle land) is becoming urban, and the only way to improve this process is by efficient planning and surveying and by managing political variables as possible factors. |
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ISSN: | 2331-1886 |
DOI: | 10.1080/23311886.2017.1285978 |