In recent years, the world has shown considerable concerns about environmental degradation accompanied by urban expansion. In terms of size, Bogura is equivalent to most of the major cities in Bangladesh, yet no thermal and ecological assessment has ever been conducted here. This study uses multitemporal Landsat satellite images between 2001 and 2020 to investigate the thermal and ecological conditions of Bogura Sadar (sub-district). Land surface temperature (LST) is obtained from Landsat images using the widely used radiative transfer equation. The thermal and ecological conditions are evaluated by computing urban heat island (UHI) and urban thermal field variance index (UTFVI) from LST data. The influence of vegetation, built-area, water-body, and bare soil on LST are examined using land cover indices through pixel-level multivariate linear regression analysis. According to the findings of this sub-district-scale (urban and rural areas) study, the mean LST has increased by 0.62 °C in the last 20 years. As per local administrative-wise findings, LST has increased in most areas, regardless of their urban or rural function. The difference between the urban area and the rest of the surroundings was significant (1.74 °C) in 2020. In 2001, UHI affected area was 5.65 km 2 , which expanded to 8.84 km 2 in 2020. Thermal and ecological conditions are worse in urban areas than its surrounding areas. The regression models of the LST and land cover indices could explain more than half (R 2 : 0.66 to 0.73) of LST variation over the years. Land cover could explain the LST in 2020 to the least extent implying that anthropogenic activities have greater influence than earlier. Land cover could explain less than half of the LST variation in the urban area.

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Road transportation does an excellent job of connecting Savar's inner and outer areas, but it might be difficult for commuters to decide which mode of transportation to employ because residents of Savar come from a wide range of socioeconomic backgrounds. It is necessary to do in-depth research on the characteristics of people in the study region who choose different modes of transportation to achieve the goal of selecting a certain mode for their travel. Where a person lives can have a significant impact on their typical patterns of travel behavior. People who live closer to the center of things have access to a wider variety of amenities than those who live further away, and as a consequence, their travel patterns are distinct from one another. The study's findings indicate that several factors, including income, age, gender, and vocational qualities and goals, influence a commuter's preferred method of transportation. When it comes to selecting a mode of transportation, the most predictable factors to take into account are trip time and cost. After conducting research, it was found that most excursions are made from this place to Motijheel, Tejgaon, and Savar Export Processing Zone for their services, businesses, and jobs, respectively.

Khulna City Corporation (KCC) has undergone rapid urban development and expansion in recent times. These changes, including the change in land surface temperature (LST) throughout the area, have significant long-term effects. This research analysed the effects of land cover changes on KCC’s LST. By using the maximum likelihood classification method, Landsat imagery investigation identified the land cover chart and determined the LST for the years 1999, 2009 and 2019. It was modelled for the simulation of land cover for the year 2029 by using the classification results and applying the multi-layer perceptron Markov (MLPM) models together. It then also modelled the LST for the year 2029 by using three thematic indices and multiple regression analysis. As a result, the KCC urban area grew by 49% between 1999 and 2019. Simulation results have shown that the KCC could possibly experience a temperature range of more than or equal to 26°C in 2029 if the recent pattern persists. For KCC, the average LST for the urban area is projected to be 27°C in 2029. The scenario shown in this article will assist urban planners in quantifying the impact of various LST change-related issues and, thus, in preparing proper strategic measures.

Travel time and its variability is one of the biggest controlling factors for trip planning, mode selection and forecasting trip duration. Travel time can be affected by various issues. Savar-Aricha highway is the gateway between south and south-western part of the country. Large variability on this corridor can cause great economic losses. To understand this routes travel time, running velocity and level of service moving observer method was conducted. The survey also includes travel time, stopped time and journey time for two types of public transport present on the corridor: ticket-based bus system and without ticket local bus system. The study found that, Ticket based bus system has lesser travel time and stopped time resulting is less travel time in comparison with local bus system. Speed analysis for both the route also supports this. In consideration of free flow speed, the level of service of this corridor was found A. Journal of Engineering Science 13(1), 2022, 21-29