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Universities play a crucial role in urban economic and structural development. The government of Bangladesh has undertaken the initiative to establish a public university in each of the 64 districts. These newly founded universities have the potential to impact urban growth significantly. We aimed to project university-induced urban expansion to address this knowledge gap and identify the mechanisms driving urban growth. The classification of supervised and unsupervised methods was employed to analyze urban development for the years 2000, 2010, 2016, and 2022. We used the Cellular Automata and Markov Chain approach to forecast future urban growth and land transition capacity. Additionally, the driving factors and selection of the study area were derived from Focus Group Discussions (FGD), Key Informant Interviews (KII), Probit Model, and Perception Index (PI). The findings of this study reveal a 1.6% urban growth rate within ten years of the establishment of the university, while urban expansion accelerated to 29.78% after ten years. The predictions also indicate a sustained urban growth rate of 4.7% by 2042. Furthermore, the PI index demonstrates that the establishment of the university has resulted in high demand for rental housing, serving as one of the primary drivers of urban expansion. Moreover, the Probit model highlights strong economic capability, proximity to the town, railway station, hospital, and easy access to credit as vital facilitators behind the drivers of urban expansion. Policymakers, the scientific community, and urban planners can benefit from this study in pursuing sustainable city development through university establishment. [ABSTRACT FROM AUTHOR]

Agroforestry systems have grown significantly in popularity in Bangladesh during recent years due to their favorable effects on the environment and human health. These systems are essential for supporting sustainable agriculture because they increase diversity, improve food security, and provide revenue. This study's main objective is to show how agroforestry is a widely used ecological and climate‐resilient practice in Bangladesh. The research explores investment analysis, adoption‐influencing factors, and a strength, weakness, opportunities, and threats (SWOT) analysis of agroforestry practices. A total of 340 respondents were chosen for this extensive study using a multistage random selection technique. The results showed a discrepancy in practice, with farmers exhibiting a high degree of awareness but limited application. Financial analysis employing metrics such as benefit‐cost ratio, net present value, and internal rate of return favored agroforestry, indicating its economic viability and potential benefits for adopters. Additionally, the adoption of agroforestry was found to be significantly influenced by a binary logistic regression model that highlighted several important features, including larger farm sizes, younger age groups, greater education levels, training experiences, frequent extension visits, and enhanced market access. The study also identified barriers to adoption, such as a lack of trained labor, poor technical assistance, and education. This thorough analysis clarifies the opportunities and constraints for agroforestry implementation in Bangladesh. It suggests broad adoption by means of focused training initiatives that empower farmers, provide observable advantages, and promote nationwide acceptance. Core Ideas: This study explores how agroforestry is a widely used ecological and climate‐resilient practice in Bangladesh.Important features such as age, education, farm size, and training as key factors for agroforestry are highlighted.Barriers of agroforestry, such as a lack of trained labor, poor technical assistance, and so on are identified.This study suggests broad adoption by means of focused training initiatives. [ABSTRACT FROM AUTHOR]