Relevant bibliographies by topics / The decision on site location

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'The decision on site location'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "The decision on site location"

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Shaikh, Salman Ahmed, Mohsin Memon, and Kyoung-Sook Kim. "A Multi-Criteria Decision-Making Approach for Ideal Business Location Identification." Applied Sciences 11, no. 11 (May 28, 2021): 4983. http://dx.doi.org/10.3390/app11114983.

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Location has always been a primary concern for business startups to be successful. Therefore, much research has focused on the problem of identification of an ideal business site for a new business. The process of ideal business site selection is complex and depends on a number of criteria or factors. Since the ultimate goal of all businesses is to increase customer footprints and to thus increase sales, criteria including traffic accessibility, visibility, ease of access, vehicle parking, customers availability, etc. play important roles. In other words, we can say that optimal business site selection is a multi-criteria decision-making (MCDM) problem. MCDM is used to identify an optimal solution or decision out of many alternatives by utilizing a number of criteria. In mathematics, there exist a number of structured techniques for organizing and analyzing complex decisions, for instance, AHP, ANP, TOPSIS, etc. In this work, we present a hybrid of two such techniques to solve the MCDM problem for an optimal business site selection given a set of candidate sites. The proposed approach is based on the AHP (Analytic Hierarchy Process) and TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) approaches. The reason for using the proposed hybrid approach is multi-fold. The hybrid approach reduces the computational complexity and require less manual effort, thus improving the efficiency and accuracy of the proposed approach. Given a set of candidate locations for a new business, the proposed approach ranks the candidates. Thus, the candidate locations with higher ranks are identified as suitable or ideal. The approach comes up with the ranking of all of the candidate locations, thus giving business managers room to make calculated decisions. To show the effectiveness of the proposed approach, a detailed step-by-step case study is given to identify an ideal location in New York City for a new gas station. Furthermore, an experimental evaluation is also presented using a number of real New York City datasets.
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Islam, Md Mahbubul, Tanjim Mahmud, and Mohammad Shahadat Hossain. "Belief-Rule-Based Intelligent Decision System to Select Hospital Location." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 3 (March 1, 2016): 607. http://dx.doi.org/10.11591/ijeecs.v1.i3.pp607-618.

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<em>The general public’s demand of Bangladesh for safe health is rising promptly with the improvement of the living standard. However, the allocation of limited and unbalanced medical resources is deteriorating the assurance of safe health of the people. Therefore, the new hospital construction with rational allocation of resources is imminent and significant. The site selection for hospital is one of the crucial policy-related decisions taken by planners and policy makers. The process of hospital site selection is inherently complicated because of this involves many factors to be measured and evaluated. These factors are expressed both in objective and subjective ways where as a hierarchical relationship exists among the factors. In addition, it is difficult to measure qualitative factors in a quantitative way, resulting incompleteness in data and hence, uncertainty. Besides it is essential to address the subject of uncertainty by using apt methodology; otherwise, the decision to choose a suitable site will become inapt. Therefore, this paper demonstrates the application of a novel method named belief rule-based inference methodology-RIMER base intelligent decision system(IDS), which is capable of addressing suitable site for hospital by taking account of large number of criteria, where there exist factors of both subjective and objective nature.</em>
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Mia, Md Mahashin, Atiqur Rahman, and Mohammad Shahadat Hossain. "Evidential reasoning based decision system to select health care location." International Journal of Advances in Applied Sciences 9, no. 3 (September 1, 2020): 201. http://dx.doi.org/10.11591/ijaas.v9.i3.pp201-210.

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<span>The general public’s demand of Bangladesh for safe health is rising promptly with the improvement of the living standard. However, the allocation of limited and unbalanced medical resources is deteriorating the assurance of safe health of the people. Therefore, the new hospital construction with rational allocation of resources is imminent and significant. The site selection for establishing a hospital is one of the crucial policy-related decisions taken by planners and policy makers. The process of hospital site selection is inherently complicated because of this involves many factors to be measured and evaluated. These factors are expressed both in objective and subjective ways where as a hierarchical relationship exists among the factors. In addition, it is difficult to measure qualitative factors in a quantitative way, resulting incompleteness in data and hence, uncertainty. Besides it is essential to address the subject of uncertainty by using apt methodology; otherwise, the decision to choose a suitable site will become inapt. Therefore, this paper demonstrates the application of a novel method named belief rule-based inference methodology-RIMER base intelligent decision system(IDS), which is capable of addressing suitable site for hospital by taking account of large number of criteria, where there exist factors of both subjective and objective nature.</span>
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Kubáňová, Jaroslava, and Iveta Kubasáková. "Optimal Location of Distribution Site Based on Distance." LOGI – Scientific Journal on Transport and Logistics 12, no. 1 (May 1, 2021): 90–98. http://dx.doi.org/10.2478/logi-2021-0009.

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Abstract For most companies, successful business operation is based on the location at the right place, in the right region, on the right plot. New investments in land, buildings and material handling equipment are carried out for the longer term. As the global business environment in which a company needs to decide on location is becoming more uncertain every day, it is of huge importance to make a thoughtful and ‘future-proof’ decision on the location for a new distribution site. Allocation can also be defined as a process that results in finding a position for a warehouse, company, production, people, things, and activities in a specific area. A newly built distribution site is impossible to be moved in a short period of time, so the decision on where to build a distribution site, warehouse, or manufacturing plant is of vital and strategic importance.
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Moutinho, Luiz, and Bruce Curry. "Modelling Site Location Decisions in Tourism." Journal of Travel & Tourism Marketing 3, no. 2 (July 27, 1994): 35–57. http://dx.doi.org/10.1300/j073v03n02_03.

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Curry, Bruce, and Luiz Moutinho. "Expert Systems for Site Location Decisions." Logistics Information Management 4, no. 4 (April 1991): 19–27. http://dx.doi.org/10.1108/eum0000000002886.

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Lee, Jin. "Understanding site selection of for-profit educational management organization charter schools." education policy analysis archives 26 (July 2, 2018): 77. http://dx.doi.org/10.14507/epaa.26.3024.

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The rise of for-profit EMOs often becomes evidence of substantial shifts in the governance of education, through which schooling may become privatized and commercialized. This study is designed to understand the economic behavior of for-profit educational management organization charter schools, by focusing on their site selection decisions as a critical factor in making a profit. Using the locations of for-profit EMO charter schools in Michigan, the study examines determinants of the location decision on charter school markets, with the choice set of potential school districts. This research finds changes of the odds ratio in the percentage of for-profit EMO charter schools, logged expenditures per pupil, and in the proportions of African-American populations, populations who have experienced higher education, and unemployed populations. Provided that for-profit EMO charter schools make a site selection decision according to areas with certain characteristics, the spatial disparity of access to charter schools can raise issues concerning unequal educational opportunities.
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Harrison, R. Wes, and Pramod R. Sambidi. "A Conjoint Analysis of the U.S. Broiler Complex Location Decision." Journal of Agricultural and Applied Economics 36, no. 3 (December 2004): 639–55. http://dx.doi.org/10.1017/s1074070800026924.

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A national survey of broiler industry executives is conducted to analyze site-specific factors related to the broiler-complex location problem. Conjoint analysis is used to analyze the broiler complex location decision. Feed costs, community attitude toward the broiler industry, availability of geographically concentrated growers, unemployment rates, and wage rates were found to be the top five factors affecting broiler company location decisions. The quality of roads between feed mill and growers; electricity, heating, water, and sewage costs; and the number of potential growers in the region were also found to be important.
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Ma, Congguo, Yudong Yang, Jianguo Wang, Yajuan Chen, and Daokuan Yang. "Determining the Location of a Swine Farming Facility Based on Grey Correlation and the TOPSIS Method." Transactions of the ASABE 60, no. 4 (2017): 1281–89. http://dx.doi.org/10.13031/trans.11968.

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Abstract. Making a multi-attribute decision regarding the location of a swine farming facility is difficult because of the vagueness and uncertainty of the evaluation indicators. In this study, after the main factors affecting swine farming were considered, pork quality and the economic benefits of farming were analyzed. Twenty evaluation indicators were selected to establish an index for determining the location of a swine farming facility based on the analytic hierarchy process (AHP). The values of qualitative and quantitative indicators were normalized to construct a weighted standardized matrix. The application of grey correlation analysis and the technique for order preference by similarity to an ideal solution (TOPSIS) were applied to calculate the overall degree of closeness of each candidate site. The pros and cons of the candidate sites were sorted to construct a location decision model according to the size of the overall degree of closeness. The locations of existing Suqian swine farms were used to validate the location decision method. The result showed that the location decision model could obtain satisfactory results for determining the location of a swine farming facility. Keywords: AHP, Grey correlation, Location decision model, Swine farming location, TOPSIS.
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Phelps, Nicholas A., and Andrew M. Wood. "The business of location: site selection consultants and the mobilisation of knowledge in the location decision." Journal of Economic Geography 18, no. 5 (June 25, 2017): 1023–44. http://dx.doi.org/10.1093/jeg/lbx016.

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Dissertations / Theses on the topic "The decision on site location"

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Weber, P. "Location intelligence : a decision support system for business site selection." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1302551/.

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As one of the leading ‘world cities’, London is home to a highly internationalised workforce and is particularly reliant on foreign direct investment (FDI) for its continued economic success. In the face of increasing global competition and a very difficult economic climate, the capital must compete effectively to encourage and support such investors. Given these pressures, the need for a coherent framework for data and methodologies to inform business location decisions is apparent. The research sets out to develop a decision support system to iteratively explore, compare and rank London’s business neighbourhoods. This is achieved through the development, integration and evaluation of spatial data and its manipulation to create an interactive framework to model business location decisions. The effectiveness of the resultant framework is subsequently assessed using a scenario based user evaluation. In this thesis, a geo-business classification for London is created, drawing upon the methods and practices common to geospatial neighbourhood classifications used for profiling consumers. The geo-business classification method encapsulates relevant location variables using Principal Components Analysis into a set of composite area characteristics. Next, the research investigates the implementation of an appropriate Multi-Criteria Decision Making methodology, in this case Analytical Hierarchy Process (AHP) allowing the aggregation of the geo-business classification and decision makers’ preferences into discrete decision alternatives. Lastly, the results of the integration of both data and model through the development of, and evaluation of a web-based prototype are presented. The development of this novel business location decision support framework enables not only improved location decision-making, but also the development of enhanced intelligence on the relative attractiveness of business neighbourhoods according to investor types.
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Clouse, Candice Marie. "The Role of Place Image in Business Location Decisions." Cleveland State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=csu15051306584967.

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Ferreira, Renee. "The location decision of PE College after a merger." Thesis, Port Elizabeth Technikon, 2004. http://hdl.handle.net/10948/256.

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The Port Elizabeth College (PE College) was founded in January 2002 as a result of the merger between the three technical colleges in Port Elizabeth, namely, Russell Road, Bethelsdorp and Iqhayiya. Similar courses are offered in duplicated facilities, contrary to the sentiment of the legislation requiring the reduction of the number of technical colleges from 152 to 50. A further problem experienced by the management of PE College is that the Russell Road campus is so full that it is necessary to turn prospective students away, while the other campuses are under-utilised. The focus of this study is the evaluation of the location and coverage offered by the six PE College sites of delivery. The study examined the physical facilities of the PE College and investigated the requirements of staff and students, regarding their campuses of choice. The objectives were achieved through site visits to the six campuses, as well as a quantitative, structured, self-administered survey of all staff and students of the PE College in October 2003. The questions used in the survey were selected only after a literature review of location theory, which highlighted the factors to be considered in location decisions. Completed questionnaires were received from 1 256 student and 120 staff respondents. The empirical study showed that 13,2% of students and 9,2% of staff wished to study or work at a different campus. Sixty-eight percent of students who wanted to change campuses preferred to be based at the Russell Road campus, which is already full. As a result, this study has led to the recommendation that the PE College should use a product-based location strategy, where each campus specialises in a different field of study. Although this location strategy will not necessarily offer the greatest accessibility to students and staff, it will result in the least amount of duplication, and, therefore, reduced costs.
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Sokol, Vadym, and Kristijan Jordanov. "Site selection for small retail stores using sustainable and location-driven indicators : Case study: Starbucks coffee shops in Los Angeles." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20053.

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Site selection decisions remains a complex yet crucial process for strong business performance. Despite the extensive number of publications in this field, the emergence of new data collection technique, improved location analytics, and changes in consumers’ preferences call for testing of new models and hypothesis. This study compares traditional site selection indicators (e.g. property size, proximities, competition, and demographic profiles) with novel site-selection indicators (e.g. environmental sustainability performance and socio-demographic characteristics from Tapestry data). By investigating a case study of Starbucks coffee stores in Los Angeles, we argue that environmental sustainability performance and socio-demographic Tapestry segments correlate with business performance indicators of small retail shops in two ways. First, higher sustainability scores result in increased foot traffic, and by extension increased business performance. Second, Tapestry segmentation stands as significant indicator of business performance in site selection modeling – specifically, by demonstrating the significant correlation between socio-demographic consumers’ segments and the number of visitors per location. The output of this study offers an alternative location-driven site selection method, important for businesses and key industry-players in sharpening location-allocation decision-making processes.
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Fadiya, Olusanjo Olaniran. "Development of an integrated decision analysis framework for selecting ICT-based logistics systems in the construction industry." Thesis, University of Wolverhampton, 2012. http://hdl.handle.net/2436/250494.

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The current application of logistics in the construction industry is relatively inefficient when compared with other industries such as retail and manufacturing. The factors attributed to this inefficiency include the fragmented and short-term nature of construction process and inadequate tracking facilities on site. The inefficiency of construction logistics creates inter alia loss of materials and equipment, waste, construction delay, excessive cost and collision accident on site. Meanwhile, several information and communication technologies (ICT) have been proposed and developed by researchers to improve logistics functions such as tracking and monitoring of resources through the supply chain to the construction site. Such technologies include global positioning system (GPS), radio frequency identification devices (RFID), wireless sensors network (WSN) and geographical information system (GIS). While considerable research has been undertaken to develop the aforementioned systems, limited work has so far been done on investment justification prior to implementation. In this research, a framework has been developed to assess the extent of construction logistics problems, measure the significances of the problems, match the problems with existing ICT-based solutions and develop a robust ready-to-use multi-criteria analysis tool that can quantify the costs and benefits of implementing several ICT-based construction logistics systems. The tool is an integrated platform of related evaluation techniques such as Fault Tree Analysis, Decision Tree Analysis, Life Cycle Cost Analysis and Multi-Attribute Utility Theory. Prior to the development of this tool, data was collected through questionnaire survey and analysed by means of statistical analysis in order to derive some foundational parameters of the tool. Quantitative research method was adopted for data collection because the processes of the tool for which the data was required are quantitative. The implementation of this tool is novel given the integration of the analytical techniques mentioned above and the application of the tool for selecting ICT-based construction logistics systems. The tool takes in data such as cost and quantities of materials for a building project and quantifies the cost and benefits of alternative ICT-based tracking systems that can improve the logistics functions of the project. The application of the tool will eliminate guesswork on the benefits of ICT-based tracking systems by providing an objective platform for the quantification of cost and benefits of the systems prior to implementation.
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Bangarth, Peter Robert Matthias. "Chachapoyan archaeological site location with satellite imagery." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ30778.pdf.

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Woywitka, Robin John. "Archaeological site location data implications for GIS /." online access from Digital Dissertation Consortium access full-text, 2002. http://libweb.cityu.edu.hk/cgi-bin/er/db/ddcdiss.pl?MQ81330.

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Nutakor, Christopher. "Decision support system for locating traffic information dissemination sites along freeway corridors." Diss., Virginia Tech, 1996. http://hdl.handle.net/10919/39171.

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Dynamic route guidance systems which are products of the Intelligent Transportation Systems (ITS) Technology have been reasonably useful in guiding motorists from their origins to destinations. In general, transportation networks could be used more efficiently if dynamic route guidance information could be provided to motorists at all relevant locations along freeway corridors. This is however not possible, particularly because of financial constraints. It is therefore imperative that information be provided to motorists at locations where it will be of maximum benefit. The objective of this research is to develop methodologies and computer models for estimating utility of motorist information at different locations along freeway corridors. Such models will be very useful in guiding transportation professionals to optimize resources when providing guidance information to motorists. The methodologies have been developed based on both recurrent and non recurrent traffic congestion situations. The methodologies assume that motorists behave rationally and will divert from congested freeways to uncongested arterials based on the user equilibrium traffic assignment criteria. The utility of information estimation has however been based on total system time savings. Computer models have been developed based on the methodologies using the C++ programming language. Nonetheless, because the computer models have been developed based on historical traffic data, they have been validated using real time simulation models developed with the SIMSCRIPT II.5 programming language. The validation process proved reasonably successful. Many factors which include traffic volumes on alternate arterial routes to a given freeway link, the number of alternate routes to the freeway link especially under recurrent traffic congestion conditions, link lengths, volume of traffic on the freeway link and incident history in the case of non recurrent congestions influence the utility of information. With the particular networks investigated in this research however, the results indicate volume of traffic on the freeway links as the most influencing factor, since freeway links with relatively high traffic volumes tend to have relatively high utility values. The reason for this is probably because of the small size nature of the networks used, hence as a result all the freeway links tend to have only one or two alternate routes and the traffic volumes on the arterial links also do not differ significantly. The freeway link volumes therefore become the dominating factor in influencing the information utilities.
Ph. D.
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Ong, Alen Sen Kay. "Asset location decision models in life insurance." Thesis, City University London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336430.

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Milatos, Gerasimos Dionisios. "Evaluation of site effects on a high frequency direction finding single site location system." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA267465.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 1993.
Thesis advisor(s): Adler, Richard W. "March 1993." Includes bibliographical references (p. 111-113). Also available online.
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Books on the topic "The decision on site location"

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Massam, Bryan H. The location of waste transfer stations in Ashdod, Israel using a multi-criteria decision support system. North York, Ontario: Urban Studies Programme, Division of Social Science, York University, 1990.

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Massam, Bryan H. The location of waste transfer stations in Ashdod, Israel using a multi-criteria decision support system. Toronto: Urban Studies Programme, Division of Social Science, York University, 1990.

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Wrzosek, Stefan. Metody podejmowania decyzji o koncentracji specjalizacji i lokalizacji produkcji w przemyśle spożywczym. Wrocław: Wydawn. Uczelniane Akademii Ekonomicznej we Wrocławiu, 1989.

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Hazardous decisions: Hazardous waste siting in the UK, the Netherlands and Canada : institutions and discourses. Netherlands: Kluwer Academic, 2002.

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New York (State). Legislature. Assembly. Standing Committee on Energy. Public hearing on issues involving decisions made by the Power Authority of New York State to site gas turbine generators in the City of New York. [Mineola, N.Y.]: En-De Reporting, 2001.

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Meirleir, Marcel De. Location, location, location: A plant location and site selection guide. New York: Haworth Press, 2008.

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Beaumont, John R. Retail location decision-making. Stirling: Institute for Retail Studies, University of Stirling, 1988.

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Chan, Yupo. Location Theory and Decision Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15663-2.

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Chan, Yupo. Location theory and decision analysis. Cincinnati, Ohio: South-Western College Pub., 2001.

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Salvaneschi, Luigi. Location, location, location: How to select the best site for your business. Grants Pass, Ore: Oasis Press/PSI Research, 1996.

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Book chapters on the topic "The decision on site location"

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Moutinho, Luiz, and Bruce Curry. "Modelling Site Location Decisions in Tourism." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 125–29. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17323-8_31.

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Shaaban, Shaaban M., and Hossam A. Nabwey. "A Probabilistic Rough Set Approach for Water Reservoirs Site Location Decision Making." In Computational Science and Its Applications – ICCSA 2012, 358–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31075-1_27.

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Long, Lynn E., Gregory A. Lang, and Clive Kaiser. "Planning a new cherry orchard." In Sweet cherries, 86–115. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781786398284.0086.

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Abstract Growing fruit trees is a long term financial commitment and establishing an orchard is an expensive enterprise. Selecting the right orchard site is arguably the most important decision that a sweet cherry grower will make and it will affect all other managerial decisions related to the orchard. Choosing the wrong site can affect both fruit yield and quality, and ultimately the financial viability of the operation. On the other hand, choosing a good site will reduce expenses and increase profits. Properly evaluating a prospective orchard location, determining available resources and establishing the orchard takes careful planning. This chapter focuses on important factors in planning a new cherry orchard, including economics and site evaluation (climatic conditions, topography, soil characteristics, soil analysis, water availability and quality, access to key auxilliary facilities, and environmental impact).
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Reynolds, Robert, and Ayman Nazzal. "Using cultural algorithm with evolutionary computing to extract site location decisions from spatio-temporal databases." In Evolutionary Programming VI, 443–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0014832.

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Muche, James F. "Site Location Factors." In Maritime Archaeology, 253–55. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4899-0084-5_29.

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Tarrade, Hortense. "Target location decision." In Cross-Border Venture Capital Investments, 97–114. Wiesbaden: Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-6939-2_6.

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Kimbrough, Steven Orla, and Hoong Chuin Lau. "Location Analysis." In Business Analytics for Decision Making, 129–47. Boca Raton: CRC Press, [2016]: Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315372426-9.

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Kloetzel, Melanie. "Location, Location, Location: Dance Film and Site-Specific Dance." In Dance’s Duet with the Camera, 19–47. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-59610-9_2.

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Heywood, Huw. "Working with Site and Location." In 101 Rules of Thumb, 1–39. 2nd ed. London: RIBA Publishing, 2021. http://dx.doi.org/10.4324/9781003212812-1.

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Chan, Yupo. "Multicriteria Decision Making." In Location Theory and Decision Analysis, 213–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15663-2_5.

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Conference papers on the topic "The decision on site location"

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Chai, Gan, Chengwei Fang, Jiaxiang Zhou, and Shui Wan. "A Multi-Objective Decision Model of Traffic Rescue Service Site Location on Road." In Ninth International Conference of Chinese Transportation Professionals (ICCTP). Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41064(358)11.

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Tian, Qiming, Lin Hou, Xinxin Bai, Wenjun Yin, and Jin Dong. "Decision support services for retail site location using a two-stage guiding optimization approach." In 2009 IEEE/INFORMS International Conference on Service Operations, Logistics and Informatics (SOLI). IEEE, 2009. http://dx.doi.org/10.1109/soli.2009.5203982.

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Liu, Xuefeng, Wencheng Lu, Jianhua Mao, Yang Liu, Jing Zhang, and Youbin He. "Assistant decision-making modeling of project site location and its application based on ArcGIS Processing." In 2010 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2010. http://dx.doi.org/10.1109/icalip.2010.5685136.

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Ballard, Geoff, Refaul Ferdous, Anthony Payoe, and Amanda Kulhawy. "Application of Risk and Reliability in Designing Facility Site Containment." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9261.

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Abstract Enbridge is North America’s premier energy infrastructure company delivering the energy people need and want. Enbridge’s business value is asset intensive. With over 200 onshore liquids pipelines facility assets, operational safety and environmental protection are always top priorities. The embedment of risk management practices in business decisions is an effective way to appropriately optimize asset performance while avoiding catastrophic impacts to people and the environment. This includes understanding and managing these risk events and establishing barriers to prevent the impact. Facility site containment is an independent protection layer that mitigates the consequences of a spill. The United States Environmental Protection Agency and the National Fire Code of Canada provide requirements to contain overland flow of a spill from liquids pipelines facility assets. Although there are specific volumetric requirements for spill containment for facility tanks, there are no specific volumetric requirements for spill containment for pipeline facility assets such as pumps, valves, etc. Industry typically employs an index-based approach to determine the specific design volumes using catastrophic rupture volumes and facility location. This approach has several shortcomings, including design inadequacy, inconsistency, and challenges with scalability. A risk-based approach is appropriate in determining the required site containment volume based on oil spill history, facility assets, and environmental sensitivities. A probabilistic model can be created using historical facility oil spill data based on the Pipeline and Hazardous Materials Safety Administration’s (PHMSA’s) facility incident database to estimate the likelihood of a given size of release occurring. If available, company oil spill history can also be used or integrated with the PHMSA dataset. Combining the likelihood of the size of release occurring with the estimated consequence (by accounting for the volume of a release and the environmental sensitivity at the release location), it is possible to evaluate the risk of a release. This estimation of risk can then be leveraged to support facility site containment design to manage the risk to an acceptable level. By informing facility site containment with volumetric requirements using reliability and consequence models and risk management principles, an organization can prudently balance pipeline safety and capital constraints to comply with federal regulations. This paper demonstrates this approach and describes: • The value of available data and model development • Reliability modeling and consequence assessment • Risk-informed decision-making • Future model enhancements
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5

Sieberer, Martin, and Torsten Clemens. "Hydrocarbon Field Re-Development as Markov Decision Process." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206041-ms.

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Abstract Hydrocarbon field (re-)development requires that a multitude of decisions are made under uncertainty. These decisions include the type and size of surface facilities, location, configuration and number of wells but also which data to acquire. Both types of decisions, which development to choose and which data to acquire, are strongly coupled. The aim of appraisal is to maximize value while minimizing data acquisition costs. These decisions have to be done under uncertainty owing to the inherent uncertainty of the subsurface but also of other costs and economic parameters. Conventional Value Of Information (VOI) evaluations can be used to determine how much can be spend to acquire data. However, VOI is very challenging to calculate for complex sequences of decisions with various costs and including the risk attitude of the decision maker. We are using a fully observable Markov-Decision-Process (MDP) to determine the policy for the sequence and type of measurements and decisions to do. A fully observable MDP is characterised by the states (here: description of the system at a certain point in time), actions (here: measurements and development scenario), transition function (probabilities of transitioning from one state to the next), and rewards (costs for measurements, Expected Monetary Value (EMV) of development options). Solving the MDP gives the optimum policy, sequence of the decisions, the Probability Of Maturation (POM) of a project, the Expected Monetary Value (EMV), the expected loss, the expected appraisal costs, and the Probability of Economic Success (PES). These key performance indicators can then be used to select in a portfolio of projects the ones generating the highest expected reward for the company. Combining the production forecasts from numerical model ensembles with probabilistic capital and operating expenditures and economic parameters allows for quantitative decision making under uncertainty.
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Reeves, Nigel, Colette Grundy, Alex Sutherland, Gordon John, Cath Shaw, Lisa Green, and Ian Beadle. "On-Site Characterisation, Re-Packaging and Transport of Luminised, Former Aircraft Escape Hatches." In The 11th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2007. http://dx.doi.org/10.1115/icem2007-7289.

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AMEC NNC, under contract to the UK Environment Agency, recovered a number of redundant aircraft hatches from an insecure location in North Wales. The Environment Agency instigated emergency action under the Radioactive Substances Act 1993 (RSA93), (1), to recover the hatches. Section 30(1) of RSA93 gives the Environment Agency powers to dispose of radioactive waste where it is unlikely the waste will be lawfully disposed of. Funding for this project was provided by the UK Government, within the Surplus Source Disposal Programme. The Environment Agency worked closely with partner regulatory organisations including the Health and Safety Executive (HSE), the Department for Transport (DfT) and the Local Authority to ensure the safe packaging, removal and transport of the material to a part-shielded store pending final disposal. The project comprised a number of technical difficulties that needed to be overcome. These included poor existing characterisation of the waste, insecure premises requiring daily lockdown, construction of a temporary containment facility with associated filtered extract and the inclement weather. AMEC NNC’s initial risk assessment identified the likelihood of high levels of loose, airborne radiological material. In order to provide adequate protection for personnel, and to prevent the spread of any radioactive contamination, the decision was made to implement radiological containment and to equip contractors with appropriate RPE (Respiratory Protective Equipment). Accurate characterisation of the radiological nature of the material was a crucial objective within the project. This was in order to correctly identify the Proper Shipping Name for consignment for transport, and to ensure that suitable transport containers were used. The packaged wastes were then transported to a secure location for temporary storage prior to final disposal. An innovative route was identified for processing of this material. Beneficial recycling and re-use within the nuclear industry was the outcome.
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Durham, L. A., R. L. Johnson, and D. S. Miller. "Real-Time Support for Precision Excavation of Radionuclide Contaminated Soils." In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-4664.

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Traditional approaches to excavation design for sites with radionuclide-contaminated soils generally involve work plans with fixed excavation footprints and post-excavation verification sampling. Recent advancements in real-time data collection systems, combined with data loggers, location control systems, and secure project-support Web sites, allow for an alternative, more precise approach to excavation design and implementation. In this mode, traditional work plans are replaced with dynamic work plans. Excavation efforts are organized by lift, with real-time dig face screening performed and the data for each lift analyzed, before excavation continues. Rather than specifying excavation footprints, dynamic work plans identify the decision logic that will be used to determine footprints based on real-time data collection. The level of investment in excavation support data collection can be balanced against potential cost savings realized through waste stream minimization. Secure project support Web sites ensure that data sets generated during the remediation process are readily accessible to all who need to see them, whether they are on site or not. These include regulators, program managers, and technical support staff. This type of Web site allows for quick problem resolution, increased transparency in field decision making, and more efficient allocation of expensive technical staff time.
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Croce, Silvia, and Daniele Vettorato. "Urban parameters analysis and visualization." In 55th ISOCARP World Planning Congress, Beyond Metropolis, Jakarta-Bogor, Indonesia. ISOCARP, 2019. http://dx.doi.org/10.47472/itwn5490.

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Several mitigation and adaptation strategies are proposed to tackle the environmental issues associated to massive urbanization and climate change. All these solutions are highly related to the utilization of urban surfaces (i.e. building envelopes, streets, public spaces, etc.). However, the existing trends demonstrate the lack of a systemic approach able to integrate multiple possible functions and avoid sub-optimal solutions. In this context, urban planning can play an essential role in managing conflicts among different surface uses and ensuring their integration. This involves making spatially explicit decisions about the types of surface use allowable, and their extent and location. The decision-making process needs to be supported by accurate and detailed knowledge about the spatial distribution of a variety of parameters that influence the surface uses in cities. This study presents a systematic framework to support planning decisions based on accurate, diverse and spatially explicit information, and discusses its application in a residential district located in Bolzano (Italy). The proposed method implies the assembly of a multivariate spatial database of significant morphological and environmental parameters acquired through environmental simulation techniques and on-site data collection. The three-dimensional visualization of this database represents a solid base to relate urban planning decisions on surface uses to their effects in terms of microclimatic conditions, thermal comfort, and on-site renewable energy production.
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Small, Dorothy S. "Evaluation Criteria and Estimate of Output From a Small-Scale Wind Turbine." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54523.

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This paper will evaluate a specific site located in southwestern Virginia, providing design criteria that are important considerations at this site. The evaluation will predict the output from a 6 blade HAWT model at the height and location of the site. As a small scale wind turbine, the process of determination of relevant considerations to establish the turbine selection and output are weighted to establish the evaluation criteria. A review of the specific site conditions are presented in detail. This information includes: three-dimensional topographic review, wind and weather profile of the site and surrounding environmental conditions of the site. With this information the decision path for the specific siting is discussed. Characteristics of the site that will be considered to calculate output are: historical data of wind profile of the region, height of tower, affect of other objects and affect of wind turbulence. A discussion of current modeling options will be compared. The design and components of the small scale wind turbine chosen for this application will be compared to other wind turbines of similar size and cost. Considerations of the turbine that are considered are: size of wind turbine, cost of wind turbine, predictable output of the wind turbine based on design of the various wind turbines, requirements for the tower for each turbine and predicted maintenance for each turbine. Initial performance of the selected turbine will be available by presentation of information.
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Buchón-Moragues, Fernando Francisco, Josep Benedito Nuez, Francisco García García, and José Manuel Melchor Monserrat. "AN INTEGRATION OF NON-DESTRUCTIVE TECHNIQUES (SFM–GPR–TLS) AS A VIRTUAL TOOL FOR ARCHAEOLOGICAL STRATEGY: THE CASE OF THE ROMAN SITE OF THE PLAZA DE LA MORERÍA IN SAGUNTO (SPAIN)." In ARQUEOLÓGICA 2.0 - 9th International Congress & 3rd GEORES - GEOmatics and pREServation. Editorial Universitat Politécnica de Valéncia: Editorial Universitat Politécnica de Valéncia, 2021. http://dx.doi.org/10.4995/arqueologica9.2021.12095.

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Integration of non-destructive techniques (NDTs) and archaeological documentation offers a high potential for contributing in archaeological research strategies. NDTs, in addition to mapping and accurately detecting a site, can be an important factor that influence decision making in archaeological strategies. This integration helps to understand spatial organisation and stratigraphic potential in order to make decisions about which levels to excavate and which to remove, especially when archaeological horizons are overlapping. This methodology is demonstrated through a study of the Roman site Plaza de la Morería located in the urban area of Sagunto (Spain). The main task was to design a suitable archaeological strategy to recover the Roman funerary space prior to the first century AD by deciding whether or not to remove the pavement of a domus from a third century AD that covered the burial remains. This article describes the methodology carried out through the combined use of NTDs based on the documented archaeological findings. The integration of the methods structure from motion (SFM), ground penetrating radar (GPR) and laser scanner (TLS), georeferenced on the same reference frame defined by topographic methods, was proposed. The high resolution of 2D and 3D virtual visalitation features of GPR technique made it possible to pinpoint and map the existence of Roman overlapped horizons and buried structures in study zone. The multidisciplinary study configured a flexible design that was crucial for adapting the strategies to each proposed phase to recover the Roman funerary space prior to the first century AD. This integration of NDTs and documented archaeological data can impact decision making process and decision made in archaeological strategies, opening new perspectives in interventions of location, study, management, conservation and planning in archaeological heritage research.
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Reports on the topic "The decision on site location"

1

Wyndham, Amber, Emile Elias, Joel Brown, Michael Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands of Southeastern Colorado’s Major Land Resource Area 69. USDA Southwest Climate Hub, July 2018. http://dx.doi.org/10.32747/2018.6947062.ch.

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Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability, resulting in decreased plant productivity and altering species composition, which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to social and ecological stability in the region. Reduced stocking rates, change in livestock breeds and/or grazing practices are general recommendations that could be implemented to cope with increased climatic stress. Ecological Sites and their associated state–and-transition models (STMs) are tools to help land managers implement and evaluate responses to disturbances. The projected change in climate will vary depending upon geographic location. Vulnerability assessments and adaptation strategies are needed at the local level to inform local management decisions and help ameliorate the effects of climate change on rangelands. The United States Department of Agriculture (USDA) Southwest Climate Hub and Natural Resources Conservation Service (NRCS) worked together to produce this drought vulnerability assessment at the Major Land Resource Area (MLRA) level, based on ecological sites and state-and-transition models that will help landowners and government agencies to identify and develop adaptation options for drought on rangelands. The assessment illustrates how site-specific information can be used to help minimize the effects of drought on rangelands and support informed decision-making for the selection of management adaptations within MLRA 69.
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2

Wyndham, Amber, Emile Elias, Joel R. Brown, Michael A. Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands in Southeast Arizona and Southwest New Mexico’s Major Land Resource Area 41. United States. Department of Agriculture. Southwest Climate Hub, August 2018. http://dx.doi.org/10.32747/2018.6818230.ch.

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Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability, resulting in decreased plant productivity and altered species composition, which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to social and ecological stability in the region. Reduced stocking rates and/or a change in livestock breeds and/or grazing practices are general recommendations that could be implemented to cope with increased climatic stress. Ecological Sites (ESs) and their associated state-and-transition models (STMs) are tools to help land managers implement and evaluate responses to disturbances. The projected change in climate will vary depending upon geographic location. Vulnerability assessments and adaptation strategies are necessary at the local level to inform local management decisions and help to ameliorate the effects of climate change on rangelands. The USDA Southwest Climate Hub and the Natural Resources Conservation Service (NRCS) worked together to produce this drought vulnerability assessment at the Major Land Resource Area (MLRA) level: it is based on ESs/STMs that will help landowners and government agencies to identify and develop adaptation options for drought on rangelands. The assessment illustrates how site-specific information can be used to help minimize the effects of drought on rangelands and to support informed decision-making for selecting management adaptations within MLRA 41.
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3

Wyndham, Amber, Emile Elias, Joel R. Brown, Michael A. Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands of Southeastern Colorado’s Major Land Resource Area 69. United States. Department of Agriculture. Southwest Climate Hub, January 2018. http://dx.doi.org/10.32747/2018.6876399.ch.

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Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability resulting in decreased plant productivity and altering species composition which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to social and ecological stability in the region. Reduced stocking rates, change in livestock breeds and/or grazing practices are general recommendations that could be implemented to cope with increased climatic stress. Ecological Sites (ESs) and their associated state and transition models (STMs) are tools to help land managers implement and evaluate responses to disturbances. The projected change in climate will vary depending on geographic location. Vulnerability assessments and adaptation strategies are needed at the local level to inform local management decisions and help ameliorate the effects of climate change on rangelands. The USDA Southwest Climate Hub and Natural Resources Conservation Service (NRCS) worked together to produce this drought vulnerability assessment at the Major Land Resource Area (MLRA) level based on ESs/STMs that will help landowners and government agencies identify and develop adaptation options for drought on rangelands. The assessment illustrates how site-specific information can be used to help minimize the effects of drought on rangelands and support informed decision-making for selecting management adaptations within MLRA 69.
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4

Wyndham, Amber, Emile Elias, Joel Brown, Michael Wilson, and Albert Rango Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands in Southeast Arizona and Southwest New Mexico’s Major Land Resource Area 41. USDA Southwest Climate Hub, August 2018. http://dx.doi.org/10.32747/2018.6947060.ch.

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Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability, resulting in decreased plant productivity and altered species composition, which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to social and ecological stability in the region. Reduced stocking rates and/or a change in livestock breeds and/or grazing practices are general recommendations that could be implemented to cope with increased climatic stress. Ecological Sites (ESs) and their associated state-and-transition models (STMs) are tools to help land managers implement and evaluate responses to disturbances. The projected change in climate will vary depending upon geographic location. Vulnerability assessments and adaptation strategies are necessary at the local level to inform local management decisions and help to ameliorate the effects of climate change on rangelands. The USDA Southwest Climate Hub and the Natural Resources Conservation Service (NRCS) worked together to produce this drought vulnerability assessment at the Major Land Resource Area (MLRA) level: it is based on ESs/STMs that will help landowners and government agencies to identify and develop adaptation options for drought on rangelands. The assessment illustrates how site-specific information can be used to help minimize the effects of drought on rangelands and to support informed decision-making for selecting management adaptations within MLRA 41.
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5

Wyndham, Amber, Emile Elias, Joel Brown, Michael Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands of Southeastern Colorado’s Major Land Resource Area 69. USDA Southwest Climate Hub, March 2018. http://dx.doi.org/10.32747/2018.6965584.ch.

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Abstract:
Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability resulting in decreased plant productivity and altering species composition which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to social and ecological stability in the region. Reduced stocking rates, change in livestock breeds and/or grazing practices are general recommendations that could be implemented to cope with increased climatic stress. Ecological Sites (ESs) and their associated state and transition models (STMs) are tools to help land managers implement and evaluate responses to disturbances. The projected change in climate will vary depending on geographic location. Vulnerability assessments and adaptation strategies are needed at the local level to inform local management decisions and help ameliorate the effects of climate change on rangelands. The USDA Southwest Climate Hub and Natural Resources Conservation Service (NRCS) worked together to produce this drought vulnerability assessment at the Major Land Resource Area (MLRA) level based on ESs/STMs that will help landowners and government agencies identify and develop adaptation options for drought on rangelands. The assessment illustrates how site-specific information can be used to help minimize the effects of drought on rangelands and support informed decision-making for selecting management adaptations within MLRA 69.
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6

Bertrand, David. Primary Distribution Site (PDS) Location Analysis. Fort Belvoir, VA: Defense Technical Information Center, August 1991. http://dx.doi.org/10.21236/ada243034.

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7

none. Environmental assessment: Reference repository location, Hanford site, Washington. Office of Scientific and Technical Information (OSTI), May 1986. http://dx.doi.org/10.2172/5492740.

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none. Environmental assessment: Reference repository location, Hanford site, Washington. Office of Scientific and Technical Information (OSTI), May 1986. http://dx.doi.org/10.2172/5381706.

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9

none. Environmental assessment overview, Reference repository location, Hanford site, Washington. Office of Scientific and Technical Information (OSTI), May 1986. http://dx.doi.org/10.2172/5578917.

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10

none. Environmental assessment: Reference repository location, Hanford Site, Washington (US). Office of Scientific and Technical Information (OSTI), May 1986. http://dx.doi.org/10.2172/5416408.

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