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Crop suitability analysis is vital for identifying a piece of land’s potential for sustainable crop production and aids in the formulation of an effective agricultural management plan. This study aims to conduct crop suitability analysis of prominent Kharif (rice and maize) and Rabi (potato and wheat) crops in Sirajganj district, a flood-prone area of Bangladesh, and recommend a suitable cropping pattern to mitigate the detrimental effects of flooding.

Various factors such as soil drainage, soil depth, soil moisture, soil texture, soil permeability, soil pH, erosion hazard, nutrient status and flooding risk were considered for this study. For all four crops, the weights of each factor were determined using the analytical hierarchy process approach, and the scores of each subfactor were assigned on the basis of favorable circumstances of crop cultivation. Using the weighted overlay analysis in the ArcGIS 10.3 environment, the crop suitability maps were generated and were divided into four suitable classes. Geographic information system integration of crop suitability for all the crops determined the suitable cropping pattern of the study area in Kharif and Rabi seasons.

A vast portion of the study area covering 64.80% of the total land is suitable for cultivating either rice or maize in Kharif season followed by either potato or wheat in Rabi season. Other suitable cropping pattern for Kharif and Rabi seasons found in the study area are rice-wheat, rice-wheat/potato, rice/maize-wheat and rice/maize-potato, which covers a little portion of the study area.

This research validates the suitable location of crop cultivation on the basis of flooding occurrences in the locality.

Logistical facility location decisions can make a crucial difference in the success or failure of a company. Geographical Information Systems (GIS) have recently become a very popular decision support system to help deal with facility location problems. However, until recently, GIS methodologies have not been fully embraced as a way to deal with new facility location problems in business logistics. This research makes a framework for categorizing empirical facility location problems based on the intensity of the involvement of GIS methodologies in decision making. This framework was built by analyzing facility location models and GIS methodologies. The research results revealed the depth of the embracement of GIS methodologies in logistics for determining new facility location decisions. In the new facility location decisions, spatial data inputs are almost always coupled with the visualization of the problems and solutions. However, the usage of GIS capability solely (i.e. suitability analysis) for problem solving has not been embraced at the same level. In most cases, the suitability analysis is used together with special optimization models for choosing among the multiple alternatives.

The quantity of e-taxi in Bangladesh is increasing day by day, especially in the municipality area. With the increase of this e-taxi quantity, it becomes hard to provide parking space for these consequences the illegal parking on road. This parking consequences traffic congestion on the road and obstructs the free flow of traffic. So, this paper aims to investigate the present scenario of this e-taxi parking problem and provides a solution by finding out a suitable location for an e-taxi station by the analytic hierarchy process (AHP) approach.

For the study, both primary and secondary data were collected. Primary data on existing parking points on the road of e-taxi which consequences traffic congestion are collected from the Municipality area. Secondary data on the existing road network of the Pabna Municipality has collected from the MIDP data also from the literature review. For the suitability analysis process for establishing an e-taxi station, six variables were determined. These variables are determined from the previous studies and the expert opinion survey. The six variables are land use of the study area, road network of the study area, proximity to the office area, proximity to the educational facilities, proximity from the market and finally,proximity from the hospital. After the selection of the variables ranking value was determined from the expert opinion. Then using The AHP method final weight value is determined and, finally, with the assist of geographical information system.

From the resulting total 4,285 spots were found as optimally suitable spots are found which is almost 21% of the suitable spot. No mostly suitable spots are found from the GIS analysis. The moderately suitable spots were found in the prime number of 14,817 spots, almost 75% of the suitable spot. Likely the most suitable spots no partly suitable spots were found but the number of very few suitable spots was found in the number of 918, 4% of the suitable spot. A total of 20,020 spots was found as suitable for the construction of E-taxi station.

Finding out a suitable spot for e-taxi stand the traffic congestion can be solved, accident risk can be minimized during loading and unloading of passengers and the municipality authority can find a permanent solution for the traffic congestion problem.

This paper aims to assess the progress in the provision of basic services in urban slums in Bangladesh during the transition period of millennium development goals (MDGs) to sustainable development goals (SDGs).

The study used a mixed method of research. The empirical part of the research was conducted in three Blocks of Rupsha slum in Khulna city. Randomly selected 120 households were interviewed through a structured questionnaire; three focus group discussion sessions (FGDs) were also conducted. Progress in the slum residents’ access to basic services during the transition from MDGs to SDGs is tacked based on primary data. The User Satisfaction Index (USI) and Network Analysis tools in ArcGIS are used to identify the gaps in service provision.

Findings show that a very significant proportion of families (56.67%) encounter an acute level of difficulties to gain smooth access to water services. About 89% of respondents have only access to a common or shared toilet facility where one common toilet is used by 20–25 persons. About 31% of families are unable to send their children to primary school even after four years of the adoption of SDGs. Achievements in most indicators of basic services in the slum are in general lower than the national level. Moreover, there exists spatial variability within the same slum. After four years of the transition from MDGs to SDGs, most of the services are poorly satisfying the residents of the Rupsha slum, and water service provision is in worse condition. The findings of this study have unveiled that while achievement in target areas is appreciable at the macro level, at the micro-level; however, good achievement in the provision of few basic services in the low-income settlement is more rhetoric than reality. Therefore, a lot more work needs to be done during the SDG phase to give the slum residents a decent quality of life as they have missed the MDGs’ train.

Study single-out works need to be done during the SDGs phase to give the slum residents a decent quality of life as they have missed the MDGs’ train.

Cesspits are the means for each house to dispose of wastewater in the Bani Kinanah District (BKD) of Jordan, which creates severe environmental complications. This research aimed to find a suitable site for a wastewater treatment plant (WWTP) in BKD.

Geographic Information System (GIS)-based multicriteria decision analysis (MCDA) was used for an optimal site selection for a sewage treatment plant. Several datasets were obtained to prepare the maps of the criteria influencing the choice of the most suitable site for the WWTP. The analytic hierarchy process was used to apply the weights for each factor.

Five classes of suitability were generated: 0.23% very high suitability, 8.49% high suitability, 47.12% moderate suitability, 37.67% low suitability and 6.49% very low suitability. According to Analytical Hierarchy Process (AHP) results, the elevations, slope and groundwater depth have high importance; where their weights 21%, 19% and 17%, respectively. The most suitable site for establishing a WWTP was found in the northern part of the study area, where it is characterized by relatively low elevations (−90 to −93 m), low slope (0–2.5 %), distance from groundwater level (47–82 m) and the space is sufficient for building the plant (25328 m², 8861 m² and 8586 m²).

This research is limited by the availability of data.

The research is invaluable for decision makers involved in urban planning.

Wastewater treatment plants are essential for communities with limited resources such as Jordan. It has also profound impacts on the surrounding environment.

From the present study, it can be concluded that GIS is essential in urban utility establishment, like urban domestic wastewater treatment site selection. Although the study area has adequate potential areas for establishing WWTP, further assessment of flood vulnerability, wastewater amount quantification, population growth and urban expansion must be seriously considered before implementation.

The purpose of this paper is to study the user experiences of the futures wheel method to investigate its suitability to advance futures thinking in the real estate field.

The user experiences of the futures wheel method are investigated through questionnaire answers of 114 master’s level students and real estate experts taking part in future wheel workshops.

The futures wheel method could enhance future-oriented thinking and decision-making in the real estate field. The respondents see futures thinking as an important skill and recognize several advantages concerning the method.

The futures wheel method bears great potential to be used in the real estate sector and it could be a fruitful addition to the curriculums at different education levels in real estate studies.

Futures thinking is essential when aiming for sustainable decisions in the real estate field which again would benefit the whole surrounding society.

This paper is the first published paper concentrating on the user experiences of the future wheel method in the real estate sector. The benefits and the disadvantages of the method are investigated but also the attitudes indicating the potential of the method to be successfully adopted in the field are analyzed.

This study aims to explore the viability of using C-17 reduced-engine taxi procedures from a cost savings and capability perspective.

This study model expected engine fuel flow based on the number of operational engines, aircraft gross weight (GW) and average aircraft groundspeed. Using this model, the research executes a cost savings simulation estimating the expected annual savings produced by the proposed taxi methodology. Operational and safety risks are also considered.

The results indicate that significant fuel and costs savings are available via the employment of reduced-engine taxi procedures. On an annual basis, the mobility air force has the capacity to save approximately 1.18 million gallons of jet fuel per year ($2.66m in annual fuel costs at current rates) without significant risk to operations. The two-engine taxi methodology has the ability to generate capable taxi thrust for a maximum GW C-17 with nearly zero risks.

This research was limited to C-17 procedures and efficiency improvements specifically, although it suggests that other military aircraft could benefit from these findings as is evident in the commercial airline industry.

This research recommends coordination with the original equipment manufacturer to rework checklists and flight manuals, development of a fleet-wide training program and evaluation of future aircraft recapitalization requirements intended to exploit and maximize aircraft surface operation savings.

If implemented, the proposed changes would benefit the society as government resources could be spent elsewhere and the impact on the environment would be reduced. This research conducted a rigorous analysis of the suitability of implementing a civilian airline’s best practice into US Air Force operations.

The main aim of this study is to explore the appropriate factors in measuring COVID-19-induced supply chain disruptions and the impact of these disruptions on the economic vulnerability of small-scale farmers in Sri Lanka.

The findings revealed that most of the farmers have continued to cultivate even during the pandemic despite several challenges which affected their economic status. Therefore, it is concluded that COVID-19-induced transportation and demand disruptions exacerbated the economic vulnerability of small-scale farmers over the disruptions in supply and production.

The findings of this study are crucial for formulating novel policies to improve the sustainability of the Sri Lankan agricultural sector and alleviate the poverty level of Agri-communities in the countryside. As farming is a vital sector in the economy, increased attention ought to be given on facilitating farmers with government-encouraged loans or allowances for their financial stability. Further, the respective government authorities should develop programs for importing and distributing adequate quantities of fertilizers among all the farmers at controlled prices so that they can continue their operations without any interruption. Moreover, the government could engage in collaboratively work with private organizations to streamline the Agri-input supply process. There should be a government initiative for critical consideration of the issues of farming families and their continued motivation to engage in agriculture. Thus, farmers' livelihoods and agricultural prosperity could be upgraded through alternative Agri-inputs and marketing strategies, providing financial assistance, encouraging innovative technology, etc.

Despite the significance and vulnerability of the vegetable and fruit sector in Sri Lanka, there is a limitation in the empirical studies conducted on the supply chain disruptions caused by COVID-19 measures and their implications on the farmers' livelihood. Furthermore, previous empirical research has not employed adequate quantitative tools to analyze the situation or appropriate variables in evaluating COVID-19-induced disruptions. Hence, the current study explored the appropriate factors for measuring COVID-19-induced supply chain disruption using exploratory factor analysis. Then, the impact of those factors on the economic vulnerability of the small scale farmers was revealed through the ordinal logistics regression analysis.