Using ABM to Study the Potential of Land Use Change for Mitigation of Food Deserts

Gebrehiwot, Asmamaw; Hashemi-Beni, Leila; Kurkalova, Lyubov A.; Liang, Chyi Lyi; Jha, M. K.

doi:10.3390/su14159715

Cited by 12 publications

(8 citation statements)

References 49 publications

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“…With the help of SRM, the organization can choose the right quantities, the right location, and the right quality of product distribution. It also minimizes the high costs and keeps satisfying service level requirements (Gebrehiwott, 2021).…”

Section: Supplier Relationship Management (Srm)mentioning

confidence: 99%

Strategic Procurement Practices and Procurement Performance: A Practical Investigation of the Commercial Banks in Quetta

Sadiqeen

2023

AHSS

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The study examines the key procurement strategies employed by banks, such as supplier evaluations, contract negotiations, and supplier performance metrics. The research also analyzes the impact of technology on procurement processes and how banks can collaborate with suppliers to improve performance and reduce costs. The study aims to provide insights into best practices for strategic procurement in commercial banks, including cost savings, increased supplier performance, and improved quality of goods and services. The findings of this research can help banks enhance their procurement processes, which can ultimately lead to increased profitability and customer satisfaction. Therefore, this study has been conducted to describe the vital role of procurement in the commercial banks of Quetta, Balochistan. This study involves procurement practices to know their best role in performing the various functions of the banks which includes the procurement process, establishment of the procurement plan, strategic procurement practices, supplier chain management, and procurement performance. The study was quantitative in nature. Non probability method in which convenience sampling technique was used to collect data via questionnaire from the commercial banks operating in Quetta. Furthermore, SMART PLS 4. Was used to analyses the data. The result of the study has proved that significant positive effect of relationships between strategic procurement and procurement performance. Furthermore, challenges related to procurement mediate the relationship between both constructs.

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Section: Supplier Relationship Management (Srm)mentioning

confidence: 99%

Strategic Procurement Practices and Procurement Performance: A Practical Investigation of the Commercial Banks in Quetta

Sadiqeen

2023

AHSS

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“…Among the 68 countries identified, approximately one-third of the studies were from the Global North [56][57][58], while two-thirds were from the Global South [24,59,60], with a particular emphasis on sub-Saharan African countries, like Ethiopia, Ghana, Malawi, Uganda, and Madagascar [61][62][63][64][65][66][67]. The European countries where research on AI and food security was conducted include Hungary, Spain, the UK, Italy, Poland, the Netherlands, Germany, and Greece [68][69][70][71][72].…”

Section: Overview Of Geographical Locations Of Ai-based Modelling Res...mentioning

confidence: 99%

“…• Predictions of changes in arable land cover, land use, and land use management under climate change [56,[78][79][80][81]].…”

mentioning

confidence: 99%

The Application of Artificial Intelligence Models for Food Security: A Review

Sarku,

Clemen,

Clemen

2023

Agriculture

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Emerging technologies associated with Artificial Intelligence (AI) have enabled improvements in global food security situations. However, there is a limited understanding regarding the extent to which stakeholders are involved in AI modelling research for food security purposes. This study systematically reviews the existing literature to bridge the knowledge gap in AI and food security, focusing on software modelling perspectives. The study found the application of AI models to examine various indicators of food security across six continents, with most studies conducted in sub-Saharan Africa. While research organisations conducting AI modelling were predominantly based in Europe or the Americas, their study communities were in the Global South. External funders also supported AI modelling research on food security through international universities and research institutes, although some collaborations with local organisations and external partners were identified. The analysis revealed three patterns in the application of AI models for food security research: (1) the exclusive utilisation of AI models to assess food security situations, (2) stakeholder involvement in some aspects of the AI modelling process, and (3) stakeholder involvement in AI modelling for food security through an iterative process. Overall, studies on AI models for food security were primarily experimental and lacked real-life implementation of the results with stakeholders. Consequently, this study concluded that research on AI, which incorporates feedback and/or the implementation of research outcomes for stakeholders, can contribute to learning and enhance the validity of the models in addressing food security challenges.

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“…The contrastive transformation method can extract input land use data from two phases to predict the transformation probability of each category, which can improve spatial analysis and simulation operations, but it has the drawback that as the number of categories rises, the computational cost becomes very high. The software on which the method is based primarily consists of cellular automata (CA) and artificial neural network (ANN),such as logistic-CA models [26,27], ANN-CA models [28,29], and multi-intelligent body models [30,31]. The neighborhood correlation approach calculates the likelihood that each category will change, using land use data from a specific time period and an algorithmic model based on spatial autocorrelation weighting coefficients.…”

Section: Introductionmentioning

confidence: 99%

Spatial–Temporal Pattern Analysis and Development Forecasting of Carbon Stock Based on Land Use Change Simulation: A Case Study of the Xiamen–Zhangzhou–Quanzhou Urban Agglomeration, China

Zeng,

Liu,

Tian

et al. 2024

Land

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The spatial–temporal distribution and evolution characteristics of carbon stock under the influence of land use changes are crucial to the scientific management of environmental resources and the optimization of land spatial layout. Taking the Xiamen–Zhangzhou–Quanzhou urban agglomeration in the southeastern coastal region of China as an example, based on seven land use types from 1990 to 2020, including cultivated land, woodland, and construction land, we quantitatively investigate the spatial–temporal patterns of carbon stock development and the spatial correlation of carbon stock distribution. Additionally, two scenarios for the development of urban and ecological priorities in 2060 are established to investigate the effects of land use changes on carbon stock. The results indicate that (1) the research area has formed a land use spatial pattern centered around urban construction in the eastern bay area, with the western forest area and coastal forest belt serving as ecological barriers. Carbon stock is influenced by land use type, and the distribution of total carbon stock exhibits a spatial aggregation phenomenon characterized by “low in the southeast, high in the north, and medium in the center”. (2) Distance of trunk and secondary roads, elevation, slope, watershed borders, population size, and gross domestic product (GDP) factors are the main drivers of the growth of land use types. The primary causes of the reduction in carbon stock are the widespread conversion of cultivated land, woodland, and grassland into construction land, as well as water and unused land. (3) In 2060, there will be a decrease of 41,712,443.35 Mg in the urban priority development scenario compared to 2020, and a decrease of 29,577,580.48 Mg in the ecological priority development scenario. The estimated carbon stock under the two scenarios varies by 12,134,862.88 Mg. The average carbon storage of Zhangpu County, Quangang County, and Jimei County is expected to rise by one level under the ecological protection scenario, indicating that the vast forest area can become a potential area to maintain carbon stock. It is crucial to encourage the coordinated development of peri-urban agroforestry and ecological barriers, as well as to establish a harmonious spatial pattern of land use and carbon stock at the scale of urban agglomerations.

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Using ABM to Study the Potential of Land Use Change for Mitigation of Food Deserts

Cited by 12 publications

References 49 publications

Strategic Procurement Practices and Procurement Performance: A Practical Investigation of the Commercial Banks in Quetta

Strategic Procurement Practices and Procurement Performance: A Practical Investigation of the Commercial Banks in Quetta

The Application of Artificial Intelligence Models for Food Security: A Review

Spatial–Temporal Pattern Analysis and Development Forecasting of Carbon Stock Based on Land Use Change Simulation: A Case Study of the Xiamen–Zhangzhou–Quanzhou Urban Agglomeration, China

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