عنوان مقاله [English]
Increasing the problems caused by population density in cities has led the owners to discriminate and solve urban problems. In order to mitigate the dilemmas caused by the unsustainable growth of urban spaces, think tanks have suggested the idea of smart urban growth, urban intelligent growth as A powerful tool in measuring the concentration or dispersion of a city's growth within the framework of the common and ideal patterns nowadays plays an indelible role in the development, transformation and shaping of human settlements, especially cities. Therefore, the purpose of the present research is to investigate the physical-spatial intelligence of urban intelligence using geographic data. The present research is based on the objective of developmental and quantitative analytical methodology based on library studies and spatial data. In analyzing the data of this research, the statistical-graphical methods have been used in the ArcGIS, Excel and GeoDa. The results of the analysis of the indices using the base-based graphic tests show that Khorramabad city has a long way to go with the principles of urban intelligence in terms of selected indicators. This indicates the significant difference between selected indicators and the principles of smart urban growth. The results of basic graphics and graphing tests are in line with each other. In this regard, there is agreement and compatibility between these tests that low degree of aggregation, unbalanced distribution in Khorramabad city, dispersion, cluster, development, and fatigue and the development of disjointed and discontinuous, and in general the growth of horizontal dispersion is superfluous.
Introduction: Urban superconductivity can be defined as continuous unobstructed growth on the margins of existing clusters or along roads. In the sprawling urban landscape, varying degrees of economic, social, and environmental impacts have accumulated. Despite its negative impacts, urban sprawl is still a growing trend. Therefore, the need to nurture compact cities has been acknowledged by policy and knowledge. A compact city is a spatial form that is well equipped with physical compaction, high density development and public transportation to respond to many urban problems such as land use in marginal areas, energy and resource waste, air pollution, access and social segregation.
Khorramabad is one of the cities that need to implement smart growth policy due to physical development constraints. The purpose of this study was to determine the spatial analysis of urban smart growth of Khorramabad city in order to achieve physical growth indices. Therefore, the purpose of this paper is not to create new indicators, but to extend existing ones based on the physical concepts of smart growth to the studied city and to measure the proximity of the studied city to the smart growth physical indicators.
Methodology: The purpose of this study is to develop an applied and quantitative-analytical methodology based on library studies and spatial data. The statistical population of this study includes residential, commercial, educational, higher education, religious, cultural, tourist, catering, health, sports, administrative and law enforcement, green, military, industrial, urban and transportation facilities and equipment. Bayer is a city of Khorramabad. Statistical-graphical methods in the form of ArcGIS software as well as Excel and GeoDa software were used for data analysis.
Results and discussion: Based on calculations and analyzes using existing geographical data of Khorramabad, residential land with 27.83 m 2, Higher education 0.86 m 2 and green space 8.23 m 2 are in desirable condition. It is higher than the standard net per capita, but other uses are in a poor state and lower than the standard net per capita.
The nearest neighbor index test revealed that indices of higher education, cultural, religious, military and sport were randomly distributed throughout the city of Khorramabad; health, residential and residential indicators were scattered. Distributed throughout the city of Khorramabad, and features administrative, military, training, Bayer, facilities, commercial, medical, industrial and green spaces across the city of Khorramabad in specific clusters. This factor illustrates the inaccuracy of access to the above indicators.
The average center of all selected landmarks in Khorramabad city largely corresponds to the geographical center of Khorramabad city. It is located around the center of the commercial district of Khorramabad. The standard deviation ellipse of all the indices studied is highly elongated, indicating that the set of selected indices of the Khorramabad city area tends to extend north-south and along the valley, with most of the indices selected tending toward Outside the city they have a north and south direction.
To compare and compare selected indices in Khorramabad city with smart growth principles, dispersion chart and box tests were used. The box diagram illustrates the results of the dispersion diagram in relation to the selected indices in the city of Khorramabad, ie, the diagram confirms the dispersion diagram results in a different way.
Conclusion: The results of the analysis of indices using graphical basis tests showed that Khorramabad city in terms of residential, commercial, educational, higher education, religious, cultural, tourist-catering, health, sports, Administrative, law enforcement, green space, military, industries, utilities, transportation, and waste areas are also within easy reach of smart growth principles. This illustrates the significant difference between the selected indicators and the principles of smart urban growth. It was also concluded that the unbalanced distribution throughout the city of Khorramabad is dispersal, clustering, junction-evaporation, discontinuous-discontinuous development, and overall horizontal dispersion growth.