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<p>This study aims to investigate how graph theory and network analysis can be applied to assess and improve landscape connectivity in urban planning, with a specific focus on enhancing the efficiency of municipal services and supporting ecological sustainability. The main research objective is to analyze how spatial connectivity of urban green spaces contributes to the functional movement of both ecological species and municipal service operations across urban landscapes. Graph-theoretic approaches are operationalized to evaluate key network metrics, Number of Links (NL), and Integral Index Connectivity (IIC) that influence effective land use planning without compromising ecosystem integrity. The study emphasizes the role of spatial and geographical representation of networks in urban and regional planning to optimize municipal services, such as waste management, water supply, and transportation, by ensuring efficient connectivity. Connectivity is shown to be critical not only for species dispersal and genetic exchange but also for the functional movement of municipal infrastructure across urban areas. Using the IIC approach, connectivity thresholds of 2&#xa0;km, 20&#xa0;km, 44&#xa0;km, and 100&#xa0;km are analyzed to identify priority areas for ecological and service optimization. The results demonstrate that enhancing green space connectivity facilitates both biodiversity conservation and the effectiveness of municipal service networks. This research offers strategies for integrating ecological connectivity with sustainable urban service planning, contributing to resilient and functional urban landscapes in future development.</p>

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Graph theory-based assessment of urban green space connectivity for ecological planning in Bhopal city, India

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月17日

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  • Pradeep Kumar Rajput

摘要

This study aims to investigate how graph theory and network analysis can be applied to assess and improve landscape connectivity in urban planning, with a specific focus on enhancing the efficiency of municipal services and supporting ecological sustainability. The main research objective is to analyze how spatial connectivity of urban green spaces contributes to the functional movement of both ecological species and municipal service operations across urban landscapes. Graph-theoretic approaches are operationalized to evaluate key network metrics, Number of Links (NL), and Integral Index Connectivity (IIC) that influence effective land use planning without compromising ecosystem integrity. The study emphasizes the role of spatial and geographical representation of networks in urban and regional planning to optimize municipal services, such as waste management, water supply, and transportation, by ensuring efficient connectivity. Connectivity is shown to be critical not only for species dispersal and genetic exchange but also for the functional movement of municipal infrastructure across urban areas. Using the IIC approach, connectivity thresholds of 2 km, 20 km, 44 km, and 100 km are analyzed to identify priority areas for ecological and service optimization. The results demonstrate that enhancing green space connectivity facilitates both biodiversity conservation and the effectiveness of municipal service networks. This research offers strategies for integrating ecological connectivity with sustainable urban service planning, contributing to resilient and functional urban landscapes in future development.