ABSTRACT
The increasing demand for land development due to human activities has fueled urbanization. However, uncontrolled urban development in some regions has resulted in urban environmental problems arising from an imbalance between supply and demand. This study aims to develop an integrated model for evaluating and prioritizing the management of hazardous urban sprawl in the Bandung metropolitan region of Indonesia. The novelty of this study lies in its pioneering application of long-term remote sensing data-based and machine learning techniques to formulate an urban sprawl priority index. This index is unique in its consideration of the impacts stemming from human economic activity, environmental degradation, and multi-disaster levels as integral components. The analysis of hazardous urban sprawl across three distinct time periods (1985-1993, 1993-2008, and 2008-2018) revealed that the 1993-2008 period had the highest increase in human economic activity, reaching 172,776 ha. The 1985-1993 period experienced the highest level of environmental degradation in the study area. Meanwhile, the 1993-2008 period showed the highest concentration of multi-hazard locations. The combined model of hazardous urban sprawl, incorporating the three parameters, indicated that the highest priority for intervention was on the outskirts of urban areas, specifically in West Bandung Regency, Cimahi, Bandung Regency, and East Bandung Regency. Regions with high-priority indices require greater attention from the government to mitigate the negative impacts of hazardous urban sprawl. This model, driven by the urban sprawl priority index, is envisioned to regulate urban movement in a more sustainable manner. Through the efficient monitoring of urban environments, the study seeks to guarantee the preservation of valuable natural resources while promoting sustainable urban development practices.
ABSTRACT
Peatland plays a pivotal role in providing natural resource production and environmental services for human welfare. However, many studies have mentioned the impact of dryland cultivation in peatland on the shifting carbon balance in the ecosystem that clearly will alter the interaction of these two ecosystem services. The goal of this study, conducted under the framework of the System of Environmental-Economic Accounting (SEEA) framework, was to monetary value the ecosystem services (ES) of provisioning and carbon regulating services of the Gaung-Batang Tuaka Peat Hydrological Unit (KHG). We focused on KHG in response to Regulation No.57/2016, which highlights ecosystem boundary as a new basis for peatland management. Under the SEEA framework, ecosystem services become a benefit when utilized by ecosystem beneficiaries. In this case, provisioning services will be valued only for cultivated land, while carbon services calculated for the entire study area (global beneficiaries). Our study showed that the provisioning services and carbon services are under the trade-off condition, where the monetary value of provisioning services increased at a slower rate (0.50 million USD annually) than the monetary loss of the benefit of carbon services (5.28 million USD annually), greatly exceeded the monetary value of provisioning services. We highlight two main strategies to increase the monetary value of the KHG towards a synergy condition, namely increased value-added by reducing the productivity gap among ES beneficiaries and large-scale adoption of a profitable cultivation system with minimum peat disturbance. The main enablers required include financing access and incentives (e.g., reduce tax) and disincentives to allow for peat-adaptive commodities to compete with dryland commodities in the future market.
