Speaker
Description
Urban forms change as a result of economic growth and transformations aimed at maximizing economic and social benefits. In this context, the role and importance of cities that incorporate the concept of sustainable development as practical solutions to enhance the social and physical value of regions have been emphasized. As interest in sustainable and carbon-neutral cities grows due to the climate crisis, the demand for sustainable urban forms has increased. This highlights the need for growth and changes in urban spatial structures from an environmental perspective. It is therefore necessary to examine the impacts of these changes to identify environmentally favorable urban transformations. A review of previous studies reveals that understanding urban forms requires analytical methods that consider spatial similarities and interactions through density clustering and dispersion patterns among regions. However, existing methods for identifying urban centrality and measuring urban forms often fail to adequately explain spatial interactions and autocorrelation.
Moreover, most studies analyzing the effects of urban forms on greenhouse gas (GHG) emissions have focused on emissions from specific sectors as dependent variables. However, it is critical to examine the impacts of urban form changes on total energy consumption and GHG emissions. Therefore, there is a need for research that comprehensively investigates the structural and emission characteristics of cities using total regional emissions as the dependent variable, rather than emissions from specific sectors. The primary objective of this study is to examine the environmental impacts of monocentric and polycentric transformations in urban forms. Specifically, this study aims to measure urban form changes and analyze their effects on GHG emissions. The study utilizes employment data as the basis for spatial analysis to identify urban centers. To ensure detailed analysis, individual index values were used to assess urban forms and determine the degree of polycentricity. Subsequently, spatial panel regression analysis was conducted to measure the impacts of urban form changes on GHG emissions. The results of this study propose effective and efficient urban spatial structures from an environmental improvement perspective. These findings provide insights into desirable directions for environmentally-conscious urban development and management.
References
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| Keywords | GreenHouse Gas;Urban Form;Urban Environmental impact;Spatial panel regression |
|---|---|
| Best Congress Paper Award | No |
