Search results

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.

Refugee camps are not easily welcomed by local communities. The purpose of this paper is to outline a structured approach to support the decision-making process for siting refugee camps in mainland Greece using multiple criteria, including local opposition. A suitability analysis generates a list of potential sites and a multiple criteria evaluation is applied. The motivation is the development of a methodology that can support choices and policies regarding the refugee camps siting problem, incorporating the need to address local opposition.

The proposed methodology combines geographic information systems (GIS) with multiple criteria decision-making (MCDM) techniques. These are used to develop a location classification and ranking model based on related criteria and subcriteria, attributes and weights. The region of Peloponnese in Greece is selected as a case study to validate the approach.

The lack of predefined candidate sites for refugee camps necessitates, initially, tackling a site search problem to generate a pool of potential sites through a suitability analysis. Subsequently, using the GIS the pool yields a subset of potential sites, satisfying all the criteria to setup a refugee camp. Through the current analysis the suitability of the single existing refugee camp site in Peloponnese can be evaluated. Finally, a “with and without” analysis, excluding the social criterion, depicts the changes in the candidate sites pool and their scores.

There is a lack of relevant literature taking into account the local opposition or sociopolitical implications as decision criteria. The selection of the appropriate criteria is a complex process that involves the cooperation of many experts. The main criteria, subcriteria and their attributes were determined according to existing literature and authors' informed judgment.

The proposed methodology can help decision-makers to setup a decision-making system and process for identifying refugee camps' sites using multiple criteria, including local opposition.

The aim is to provide details of selected Financial Industry Regulatory Authority (FINRA) Regulatory Notices and Disciplinary Actions issued in March, April and May 2012.

The paper provides Regulatory Notice 12‐17, April 2012, “Telemarketing: SEC Approves Consolidated Telemarketing Rule,” and Regulatory Notice 12‐25, May 2012, “Suitability: Additional Guidance on FINRA's New Suitability Rule”.

Notice 12‐17: FINRA Rule 3230 (Telemarketing) updates exiting NASD and NYSE rules that require member firms to maintain and consult do‐not‐call lists, limit the hours of telephone solicitations and prohibit members from using deceptive and abusive acts and practices in connection with telemarketing, and adopts provisions that are substantially similar to Federal Trade Commission (FTC) rules that prohibit deceptive and other abusive telemarketing acts or practices. Notice 12‐25: The new FINRA Rule 2111 requires, in part, that a broker‐dealer or associated person “have a reasonable basis to believe that a recommended transaction or investment strategy involving a security or securities is suitable for the customer, based on the information obtained through the reasonable diligence of the [firm] or associated person to ascertain the customer's investment profile.” In general, the new rule retains the core features of the previous NASD suitability rule, codifies several important interpretations of the predecessor rule and imposes a few new or modified obligations.

These are direct excerpts designed to provide a useful digest for the reader and an indication of regulatory trends.

Urban renewal projects provide an effective channel for adjusting land-use allocation and improving land-use efficiency, which effectively increases land supply. The purpose of this paper is to support the decision-making process of sustainable land use in urban renewal projects. A GIS-based framework, consisting of a planning support model and a land information database, has been developed in a typical high-density city – Hong Kong.

A qualitative and quantitative combined methodology is designed for this research. Several research methods such as expert interviews, focus group meetings, and case studies and technical approaches such as GIS, MCA, and AHP are adopted in this research.

General and sustainability criteria for land-use decision making in urban renewal along with associated data are identified, and an integrated approach to quantitatively assessing land-use suitability is developed.

The framework was developed in a loosely coupled form rather than a software package installed on a computer, and the development of the land information database was a time-consuming process as a large amount of data were collected, processed, and analyzed.

Application of the proposed framework is reported by showing analyzed results of land-use suitability. The framework proves a useful tool for both practitioners and researchers involved in sustainable land use for urban renewal.

To describe the need and suggest guidelines for a formal, written manual that provides a firm, its registered representatives, and its supervisory principals a line of defense against costly repercussions from sales practice violations.

Discusses regulations concerning the suitable sales of securities to customers, the legal basis for reasonable supervision, why a brokerage firm's business model should guide it in building its manual, contents of a prototype manual, how investment objectives and risk tolerance should be considered, how performance information is disclosed so it is understandable to the customer, both justifiable reasons and dangers related to switching a customer from one fund to another, commission savings issues (including breakpoints, letters of intent, rights of accumulation, and reinstatement privileges), and home office supervision of reps and supervisory principals.

Regulators are concerned with an investment firm's culture of compliance, including its written supervisory procedures and evidence of supervisor training and compliance performance. To support principals charged with supervising registered reps and investment adviser reps, a firm should have a formal training program that starts out with a well‐thought‐out mutual fund suitability guidelines manual.

A hands‐on guide for writing an important manual by a specialized investment compliance lawyer.

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.

Policy makers are frequently challenged by the need to achieve sustainable development in cities and regions. Current decision-making processes are based on evaluation support systems which are unable to tackle the problem as they cannot take a holistic approach or a full account of actors. The purpose of this paper is to present a new generation of evaluation systems to support decision making in planning and regeneration processes which involve expert participation. These systems ensure network representation of the issues involved and visualization of multiple scenarios.

A literature review is used for both revising existing evaluation tools in urban planning and the built environment and highlighting the need to give stakeholders (industry, cities, operators, etc.) new tools for collaborative or individual decisions and to facilitate scaling up solutions. An overview of the new generation of decision support systems, named Multicriteria Spatial Decision Support Systems (MC-SDSS) is provided and real case studies are analyzed to show their ability to tackle the problem.

Recent research findings highlight that decisions in urban planning should be supported by collaborative and inclusive processes. Otherwise, they will fail. The case studies illustrated in this study highlight the usefulness of MC-SDSS for the successful resolution of complex problems, thanks to the visualization facilities and a network representation of the scenarios.

The case studies are limited to the Italian context.

These SDSS are able to empower planners and decision makers to better understand the interaction between city design, social preferences, economic issues and policy incentives. Therefore, they have been employed in several case studies related to territorial planning and regeneration processes.

This study provides three case studies and a review of the new MC-SDSS methodology which involve the Analytic Network Process technique to support decision-making in urban and regional planning.

The purpose of this study is to test and validate a scale for measuring project resilience in the construction sector within the built environment. By identifying relevant indicators and items, the study aims to enhance the resilience of construction projects and minimize losses and failures resulting from disruptive events such as societal, technological, biological and environmental hazards (e.g. Covid-19, war in Ukraine, shortage of resources, etc.).

The study uses a quantitative approach, specifically exploratory factor analysis and confirmatory factor analysis, to evaluate the suitability, dimensionality and reliability of the proposed indicators and items for measuring project resilience in the construction sector.

The study found that 9 indicators and 34 items were suitable for measuring project resilience in the construction sector, and the proposed model showed good fit for the two dimensions of project resilience, which may have practical implications for project managers in the construction sector within the built environment.

The study proposes a new scale for measuring project resilience in the construction sector, which is a novel contribution to the field of project management. The study identifies specific indicators and items that are relevant to this industry, which may have practical implications for project managers in this sector. The study also highlights the need for further research to make the project resilience scale more robust and reliable.

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.

Delays represent one of the most critical factors that affect the cost of a construction project. They have to be therefore analysed comprehensively using appropriate techniques. The purpose of this paper is to find out the delay analysis techniques (DATs) that are most commonly used in road projects in Sri Lanka, the extent of their usage, the criteria that can be used in selecting them and the technique that is most appropriate for the selection.

The research methodology adopted included an extensive literature review, expert interviews and a questionnaire survey.

In road projects in Sri Lanka, five types of DATs are mainly used. The “As-planned v. As-built Analysis” technique is the most commonly used technique while “Window Analysis” is the least used technique. Out of the nine criteria identified for selecting a DAT, the most important criterion is the acceptability of the technique to courts and tribunals. “Window Analysis” was found to be the most appropriate DAT that can be used in road construction projects in Sri Lanka.

“Window Analysis” can be recommended as the most appropriate DAT for road projects in Sri Lanka.