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Urban Residential land development and redevelopment intensity (LDR) act as an essential
index to understand magnitude of urban livability and sustainable development. Recent
urbanization pattern of Rajshahi city has made a rising demand for land, which made it
a precious commodity. As a result of it, Rajshahi City Corporation (RCC) area is undergo...
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... types of data pre-processing and logistic regression analysis were conducted, and the regression model results have been shown in Table 3. According to the results, overall Percentage represents the overall accuracy and if the value is higher than 80%, the better the effect of the logistic regression model. ...Context 2
... coefficients and their significance are stable in several operations, which reflect the scientific nature and credibility of the hedonic model ( Witte et al., 1979). The coefficients and significance level of model variables are presented in Table 3. Β is the coefficient of every independent variable. ...Similar publications
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Citations
... This computation resulted in an average daily waste production of approximately 0.46 kilograms per individual, a finding consistent with previous research. Based on data provided by the Rajshahi City Corporation, the city's population is estimated to be around 0.85 million (Islam et al., 2020). As a result, the anticipated total daily waste generation in RCC is assessed at approximately 359.12 tons, a figure that closely aligns with previous research findings (Hamidul Bari et al., 2012, Halder et al., 2014, Habib et al., 2021. ...
The sustainable management of municipal solid waste is of utmost importance for cities in Bangladesh, including Rajshahi City, which faces unique challenges due to rapid urbanization, industrial growth, and population expansion. This study aimed to gain insights into waste generation patterns and characteristics in Rajshahi by analyzing factors like moisture content, bulk density, dry density, and calorific value of municipal solid waste at the Rajshahi landfill site. The objective was to identify the most feasible method for waste characterization and segregation. The research methodology utilized a comprehensive approach, incorporating field surveys, laboratory analyses, and statistical modeling to create an energy matrix and assess the potential for waste-to-energy production in Rajshahi City. This study aligns with several Sustainable Development Goals (SDGs) related to waste and energy management, including SDG 7: Affordable and Clean Energy-by exploring waste-to-energy options. SDG 11: Sustainable Cities and Communities-by addressing waste management challenges in a rapidly urbanizing area. SDG 12: Responsible Consumption and Production-by promoting sustainable waste management practices. SDG 13: Climate Action-by potentially reducing greenhouse gas emissions through efficient waste-to-energy conversion. Overall, this research contributes to Rajshahi City's efforts to achieve sustainable development while addressing its waste and energy needs by converting its 75.8% organic waste to electricity using an anaerobic digester.
... During the selection of urban centers, a comprehensive assessment of various factors and features is undertaken to determine their suitability and significance. This evaluative process encompasses a wide range of considerations, such as the presence of educational institutions, banking and financial establishments, healthcare facilities, public services, commercial establishments, and the efficiency of transportation and connectivity options [6]. Healthcare facilities play a crucial role in enhancing the well-being and convenience of residents and consequently exert a notable impact on the appeal of a town [5]. ...
... Moreover, topographic maps emerge as invaluable tools for identifying optimal locations for diverse construction projects, including residential, commercial, and public developments. The detailed depiction of elevation changes through contour lines allows for a thorough understanding of the terrain and slope of the land, aiding in informed decisionmaking during development planning [6]. To ensure an accurate valuation of land, certain areas, such as water bodies, tanks, marshy lands, sandy lands, and forested areas, are designated as restricted zones and must be excluded from consideration during the valuation process [1,7]. ...
... An introduced indicator, the shape index, provides valuable insights into landscape characteristics, serving as a further consideration in the valuation process. The division of land into plots, characterized by irregular shapes and defined based on land-use classification, ownership, and natural or administrative boundaries, aids in assessing land value [6,10]. Furthermore, the presence and quality of facilities on a given parcel of land significantly contribute to its overall value [5]. ...
Land valuation is a crucial process that involves the comprehensive assessment of specific land parcels to estimate their worth based on market value or predefined value base on valuation standards and regulations. Traditionally, this process has relied on expert involvement, often leading to different value figure for the same land by different valuation officers. While minor variations are considered acceptable, concerns have been raised regarding the lack of transparency, accuracy, and efficiency in the traditional approach. In response to these challenges, this study proposes an innovative system leveraging the potential of automated valuation models (AVMs) and big data applications in the real estate domain to address the limitations of traditional land valuation methods. The objective of the study is to enhance the transparency and accuracy of land valuation through the integration of a holistic data interpretation system, improved information exchange between AVM projects and property valuation, and the automation of specific workflows for property assessment. The study focuses on the Homagama Divisional Secretarial administrative boundary in Sri Lanka as a case study area for implementing the proposed AVM-based valuation model. The methodology adopts a multi-criteria approach with expert validation, considering various causative factors influencing land value, such as access to transportation, proximity to schools, distance from government and commercial establishments, proximity to hospitals, slope, land use, distance to urban centers, and population. To determine the relative importance of each factor, the Analytical Hierarchical Process (AHP) is utilized, providing a rational and consistent weighting approach. The AVM is developed using ArcGIS software and Weighted Overlay Analysis, effectively capturing the spatial distribution of land values within the study area. The research results in the classification of the Homagama Divisional Secretary area into distinct land value classes, ranging from very low to very high valued areas. In order to ensure the accuracy and validation of the model, the estimated AVM for land lot cadaster data, is reviewed alongside real-world land value data. The valuation map produced presents a graphical representation of the value of each land parcel, thereby facilitating rapid decision-making processes. Additionally, the study highlights the potential for further enriching the model with additional factors beyond those initially considered. In conclusion, this study demonstrates the value of AVMs in revolutionizing land valuation by providing a transparent, accurate, and efficient approach. The proposed model serves as a valuable tool for decision-makers, stakeholders, and property professionals in their efforts to assess land values and make informed real estate investment decisions.
... Bangladesh, which has a long history of being a rural, agrarian nation, is quickly becoming an urban civilization (Islam et al., 2022). Migration from rural areas to urban centers is becoming more prevalent worldwide (Nations, 2014). ...
Parks and green spaces in neighborhoods encourage physical exercise. Lack of POS design guidelines, budget restrictions, and public input have rendered these few POSs obsolete and unable to meet modern visitor needs. The objectives of this study are to understand and evaluate the residents’ perceptions regarding existing open space and its relationship with the city’s livability. Public open space physical and activity parameters were surveyed using a field physical and observation survey—an interview based on a questionnaire collected opinions about public open spaces. After gathering stakeholder data, the Spearman correlation in SPSS is used to analyze the association between public open space perception and quality of life. The study shows that the mean value of satisfaction level is 2.95. Which indicates the overall satisfaction level is “unsatisfied to neutral.” On the other hand, the correlation coefficient between public open space and City Livability is 0.1752 or 17.5%. It indicates that public open space account for 17.5% of the variance in city livability, with the remaining variance explained by other factors. The most significant takeaway from qualitative data analysis is that there is no blueprint technology for providing, managing, and maintaining public open spaces in the BCC area.
... The city's first formal master plan, within the jurisdiction of the Rajshahi metropolitan area (RMA), was produced in 2004 to guide the city's future land use growth [124]. Every five years, this plan was expected to be updated to accommodate essential changes and ensure planned development. ...
In urban land use optimization problems, different conflicting objectives are applied. One of the most significant goals in urban land use optimization problems is to maximize environmental benefits. To quantify environmental benefits in land use optimization, many researchers have employed a variety of methodologies. According to previous studies, there is no standard approach for calculating environmental benefits in urban land use allocation problems. Against this background, this study aims to (a) identify indicators of environmental benefits and (b) propose a novel composite index to measure environmental benefits in urban land use optimization problems. This study identified four indicators as a measure of environmental benefits based on a literature assessment and expert opinion. These are spatial compactness, land surface temperature, carbon storage, and ecosystem service value. In this work, we proposed a novel composite environmental benefits index (EBI) to quantify environmental benefits in urban land use allocation problems using an ordered weighted averaging (OWA) method. The study results showed that land surface temperature (LST) is the most influential indicator of environmental benefit while carbon storage is the least important factor. Finally, the proposed method was applied in Rajshahi city in Bangladesh. This study identified that, in an average-risk decision, most of the land (64.55%) of the study area falls within the low-environmental-benefit zone due to a lack of vegetated land cover. The result suggests the potential of using EBI in the land use allocation problem to ensure environmental benefits.
... This city is situated near the bank of the Padma River. Rajshahi city is located between 24ʹ20ʹ and 24ʹ24ʹ north latitudes and in between 88ʹ32ʹ and 88ʹ40ʹ east longitudes [5]. The area of Rajshahi city corporation is bounded by Paba Upazila [ Fig. 1]. ...
Water is an essential natural resource. Despite the development of technology, it provides harsh feedback in supplying freshwater. Because of the geographical location, Rajshahi has a tropical wet and dry climate. That's why Rajshahi is the proposed area of the study. The objective of the study is to expose the rainwater harvesting system as an alternative way of water supply for the driest month (summer season), with knowing the present water supply condition of the study area. The study proposed a roof-top rainwater harvesting method in the residential areas of Rajshahi city. Through the physical survey and questionnaire surveys, the primary and secondary data have been collected. In this study, the Decision Support tool: Rain is Gain is used to estimating the quantity of rainwater that could be originated by various rainwater harvesting techniques. Essential data and maps have been analyzed with M.S. Excel, GIS (Geographic Information System), moving average, weighted moving average showing some graphical and statistical representations. The study finds that 70% of the rainwater can be harvested. In this study, the rainwater harvesting system could provide 160000 liters of water per year per building, and 67% of the total water demand can be fulfilled. This study is an example of sustainable residence. The research shows that using rainwater in a significant way not only maintenances all ecosystems but also creates sustainable management of the environment. Natural resources are like a blessing for all the living beings on the earth. Water is the most important natural resources on earth. Life without water is impossible. Because of population growth, urbanization, economic development, changing consumption patterns, global water use has been increased nearly eight times over the past 100 years. It is estimated that gradually water demand will continue to rise. For this, the groundwater level is decreasing at an alarming rate. Despite the development of technology, it provides harsh feedback in supplying freshwater [1]. In icecaps and glaciers, over 68% of the freshwater is found. In groundwater, over 30% is found, and only about 0.3% of freshwater is found in easily accessible lakes, rivers, swamps. It is assumed that already more than half of the available freshwater has been used [2]. So it is high time to secure global water for both people and the ecosystem. In recent years, the water crisis in Bangladesh is remarkable. Bangladesh is a developing country with its overpopulation. Every year population is increasing in this country. Besides, the water level of the major rivers of the country is rising. In 2014 the maximum water level of Jamuna (Sirajgang), Ganges-Padma, Matamuhuri, and Teesta was respectively 13.79m, 13.31m, 11.29m, and 28.95m [3]. But the maximum and minimum water level increased in 2017. In 2017 the maximum level of Jamuna (Sirajgang), Ganges-Padma, Matamuhuri, and Teesta was respectively 14.87m, 13.85m, 13.79m, 29.95m [3]. So it is high time to save the environment. People are facing problems because of water diseases. The shortage of pure drinking water is becoming a challenge. As a result, so many water diseases can be seen like diarrhea, typhoid, cholera, etc. Arsenic contamination is another water diseases. Securing water is going to be a challenge for the future era of Bangladesh. According to geographical location, Rajshahi has a tropical wet and dry climate [4]. In the summer season, the water crisis can be seen in Rajshahi city. The living pattern is changing, and the use of water has also been changed.
... The number of sub-districts in RCC is 12, with a total ward number of 30. In 2018, according to the RCC authority, the population of the city was 0.85 million [22]. MSW generation rates per person of the six major cities are approximately equal. ...
... Similar results have been observed in previous studies [7,9]. According to the Rajshahi City Corporation authority, the population of the city is approximately 0.85 million [22]. Therefore, the approximate total waste generation in RCC is calculated as 358.19 t/d, which is approximately equal to the data presented by earlier studies [7,9]. ...
Waste management is becoming one of the most challenging tasks for developing countries in order to ensure good human health, as well as a healthy environment. Rajshahi City Corporation (RCC) is one of the 12 city corporations in Bangladesh. Various environmental and human health problems have arisen due to a lack of proper knowledge of waste management. Thus, the aim of this work is to illustrate the present status of MSW generation and management in Rajshahi City Corporation, Bangladesh. Fifty households were selected throughout RCC for waste collection, which represent approximately all types of households in RCC. From the qualitative and quantitative analysis, it is estimated that the approximate MSW generation in RCC is 358.19 t/d (tons/day) at an approximate rate of 0.4214 kg/person/d. Calorific values of the wastes have also been determined using the ultimate analysis results of the MSW. A higher calorific value of the dry MSW has been calculated as 14.9 MJ/kg. Moisture content of the MSW has been found to be 48.28%. It is also estimated that the possible power generation (steam energy to electrical power) from MSW generated in RCC is 159.40 MWh/d. Lastly, future scopes of MSW management and different waste management measures that need to be taken are illustrated. Waste-to-energy (WTE) conversion has been given priority and anaerobic digestion (AD) has been found to be an interesting prospect in this sector. Techno-economic analysis of the AD has been conducted. Energy potential from the proposed plant has been calculated as 3.85 MW and the payback period has been found to be 4.9 years. It has been observed that employing AD on a large scale can not only reduce the waste, but also meet a large portion of the energy demand of this city.
... Rajshahi is one of the main divisional cities located in the northwestern part of Bangladesh between 24°07′ to 24°43′ north latitudes and 88°17′ to 88°58′ east longitudes (Fig. 1). The city is located along the northern side of the Padma river [113]. The average ground elevation is around 17 m to 18 m with 21 m highest embankment crest. ...
Rajshahi is considered as one of the most growing cities in Bangladesh with enormous potentialities for physical and environmental development. The city has taken over air pollution, and it should now shift their focus on preparing to face the consequences of rapid urban growth. With unorganised solid waste management even after the absence of industries and mega industries, the city has a chance of collapsing in the period of potential future massive development movement. In order to combat this potential risk during that period, the landfill can be applicable in this developing city being the cheapest and straightforward method. Concerning this, this study attempts to identify suitable places to dispose of Metropolitan Solid Waste (MeSW). To select suitable sites for landfills, several critical factors, such as ge-ology/hydrogeology, land use, aspect, slope, and distance from the surface water body, settlements, roads, railway, and protected areas, were chosen according to standards and regulations. Weights of criteria are determined using the Fuzzy Analytical Hierarchy Process (F-AHP), and then the weighted overlay analyses are used to nominate landfill sites. According to findings extracted, only about 6% area is highly suitable, and 22% of the area is moderately suitable for the landfill site development. Considering parameters such as minimum required area for landfills, buffer distance from residents, major roads and agricultural lands, political and management issues, and having discussions with key personnel, the study opts two potential sites for landfill development. Inappropriate landfill locations other than this will lead to adverse environmental, economic, and ecological externalities.
