Academic literature on the topic 'Location choice'
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Journal articles on the topic "Location choice"
Branikas, Ioannis, Harrison Hong, and Jiangmin Xu. "Location choice, portfolio choice." Journal of Financial Economics 138, no. 1 (October 2020): 74–94. http://dx.doi.org/10.1016/j.jfineco.2019.10.010.
Full textSHEARD, PHILIP. "Choice location." Nursing 27, no. 11 (November 1997): 6–8. http://dx.doi.org/10.1097/00152193-199711000-00003.
Full textHuang, Shengsheng, and John Cantwell. "FDI location choice: the role of locational ambidexterity." Multinational Business Review 25, no. 1 (April 18, 2017): 28–51. http://dx.doi.org/10.1108/mbr-04-2016-0016.
Full textSchaefer, Donald F. "Locational Choice in the Antebellum South." Journal of Economic History 49, no. 1 (March 1989): 145–65. http://dx.doi.org/10.1017/s0022050700007373.
Full textBilal, Adrien, and Esteban Rossi-Hansberg. "Location as an Asset." Econometrica 89, no. 5 (2021): 2459–95. http://dx.doi.org/10.3982/ecta16699.
Full textEkici, Özgün, and Bugra Caskurlu. "Location Choice under Spillovers." Business and Economics Research Journal 13, no. 1 (January 31, 2022): 1–9. http://dx.doi.org/10.20409/berj.2022.358.
Full textGupta, Surabhi, Peter Vovsha, and Rebekah Anderson. "Choice of Workplace Location." Transportation Research Record: Journal of the Transportation Research Board 2493, no. 1 (January 2015): 48–57. http://dx.doi.org/10.3141/2493-06.
Full textBryant, Shannon. "Location, location, location: Anaphor selection in English locative prepositional phrases." Proceedings of the Linguistic Society of America 7, no. 1 (May 5, 2022): 5263. http://dx.doi.org/10.3765/plsa.v7i1.5263.
Full textVandeviver, Christophe, and Wim Bernasco. "“Location, Location, Location”: Effects of Neighborhood and House Attributes on Burglars’ Target Selection." Journal of Quantitative Criminology 36, no. 4 (October 11, 2019): 779–821. http://dx.doi.org/10.1007/s10940-019-09431-y.
Full textZhan, Crystal. "SCHOOL CHOICE PROGRAMS AND LOCATION CHOICES OF PRIVATE SCHOOLS." Economic Inquiry 56, no. 3 (February 5, 2018): 1622–45. http://dx.doi.org/10.1111/ecin.12560.
Full textDissertations / Theses on the topic "Location choice"
Posada, Mariño Pablo. "Location, location, location choice models." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99091.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 109-112).
Cities are, now more than ever before, the main centers of population and production. The growing demand for limited urban space is increasing urban complexity and magnifying both positive and negative externalities of urban agglomeration: increasing productivity, innovation, and social interaction, but also exacerbating living costs, pollution, inequality, congestion, etc. In order to build sustainable cities and have a net positive balance of urban externalities, we need to better understand the motivations of the different agents competing in the race for urban space. Location choice models can help to shine a light on these motivations by providing insights on agents' location preferences. They are also the building blocks of more comprehensive urban models and simulations that can help navigate urban complexity. This thesis explores location choice models for homeowner households and firms in Greater Boston. Specific research questions that these models can help answer include: How do residential location preferences vary with life cycles? What industries value clustering the most? These topics are important given (1) forecasted demographic changes, specifically the aging of the baby-boomers, and (2) the continuing move from a manufacturing-based economy to a service and knowledge-based economy. These changes in population and economy will likely require a change in housing stock in order to better match supply with demand, and changes in the stock of commercial space in order to continue boosting the firms that drive the economy of the region. The thesis also explores the data-related uncertainty of these models (how model estimation changes with different data sources) as well as their temporal transferability (how do preferences change over time). The location choice analysis for households suggests that income has a bigger impact on willingness to pay for location attributes than age of the head of the household or household size. The firm analysis indicates that firms in the professional service and health and education service sector place more value on proximity to jobs in the same industry and density than firms in other sectors. These preferences have strengthened over time. An in-depth analysis, such as the one presented in this thesis, of what city agents look for in a location can, and should, inform planning policies and intervention in order to better match location preferences with opportunities.
by Pablo Posada Mariño.
M.C.P.
Colomé, Rosa. "Consumer choice in competitive location models." Doctoral thesis, Universitat Pompeu Fabra, 2002. http://hdl.handle.net/10803/7330.
Full textDesprés de la introducció i de la revisió de la literatura, el capítol 3 analitza la importància que té reflectir la conducta real del consumidor respecte a com aquest té en compte la distancia, i com això afecta a la optimalitat de les localitzacions que s'obtenen en aquests models.
Després d'analitzar la característica distancia, el capítol 4 presenta una nova metodologia per determinar quines altres característiques (a més de la distancia) s'han d'introduir en els models de Màxima Captura i com s'han de representar fent servir el model MCI (Multiplicative Competitive Interaction model) com a model d'elecció del consumidor. La metodologia s'aplica a dos entorns reals: Barcelona i Milton Keynes.
El capítol 5 presenta el "New Chance - Constrained Maximum Capture Location Problem". Aquest model de màxima captura, a més d'introduir les teories d'elecció del consumidor, introdueixen una nova restricció estocàstica de llindar de rendibilitat.
Finalment en el capítol 6 es presenten els algoritmes desenvolupats per a resoldre els models presentats en els capítols 3 i 5. Concretament, es desenvolupen i testejen dues metaheurístiques basades en les metaheurístiques GRASP, Ant System i TABU Search.
Esta tesis doctoral tiene como objetivo la incorporación de los modelos de preferencia revelada de elección del consumidor en los modelos de localización competitiva en entorno discreto que tienen como objetivo maximizar la captura.
Para ello, después de la introducción y de la revisión de la literatura, el capítulo 3 analiza la importancia que tiene reflejar la conducta real del consumidor respecto a cómo éste considera la distancia, y cómo esto afecta a la optimalidad de las localizaciones que se obtienen en estos modelos.
Una vez analizada la característica distancia, el capítulo 4 presenta una nueva metodología para determinar que otras características (además de la distancia) se deben introducir en los modelos de Máxima Captura y cómo se tienen que representar éstas utilizando el modelo MCI (Multiplicative Competitive Interaction model) como modelo de elección del consumidor. La metodología se aplica a dos entornos reales: Barcelona y Milton Keynes.
El capitulo 5 presenta el "New Chance - Constrained Maximum Capture Location Problem". Este modelo de máxima captura, además de introducir las teorías de elección del consumidor, introduce una nueva restricción estocástica de umbral de rentabilidad.
Finalmente en el capítulo 6 se presentan los algoritmos desarrollados para resolver los modelos presentados en los capítulos 3 y 5. Concretamente, se desarrollan y testean dos metaheurísticas basadas en las metaheurísticas GRASP, Ant System y TABU Search.
The main aim of this thesis is the introduction of consumer store - choice theories in the discrete competitive location models that have a maximum captured objective function.
After the introduction and the literature review, chapter 3 analyses the importance of consumer behaviour with respect to distance in the optimality of locations obtained by a traditional discrete competitive location models.
Once the distance attribute has been analysed, chapter 4 presents a methodology for determining which store attributes (other than distance) should be included in a new version of the Maximum Capture Discrete Competitive Location models to the retail sector, as well as how these parameters ought to be reflected. The revealed preference store choice model use to define this methodology is the Multiplicative Competitive Interaction model. The methodology is tested to the supermarket sector in two different scenarios: Barcelona and Milton Keynes .
Chapter 5 presents the "New Chance - Constrained Maximum Capture Location Problem". , which is a maximum capture model that takes into account the store-choice theories and has an stochastic threshold constraint.
Finally, chapter 6 presents the algorithms developed to solved the models presented in this thesis (chapter 3 and chapter 5). Basically, this chapter presents the formulation development and the computational experience, for a two metaheuristics. These are based in three metaheuristics: GRASP, Ant System and TABU Search.
Sultan, Zahid. "Household location choice and travel behaviour." Thesis, Ulster University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556480.
Full textFreedman, Matthew L. "Location choice, product choice, and the human resource practices of firms." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7153.
Full textThesis research directed by: Economics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Hunt, John Douglas. "Modelling commuter parking location choice and its influence on mode choice." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237902.
Full textCrim, Stephen J. (Stephen Johnson). "Developing a theory of nightclub location choice." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44354.
Full textIncludes bibliographical references (p. 73-77).
This work is an investigation of the factors that influence where nightclubs locate within a city. Nightclubs, like other social spaces, provide important social and economic benefits in the urban environment. As amenities, they attract labor to cities, and as sites of social exchange, they provide space in which individuals can create the networks necessary for innovative industrial production, especially in the fine arts and other creative sectors. Nightclubs also appear to have a role in neighborhood upgrading or gentrification. Despite their importance, this is the first study on the factors that determine nightclub location choice. New York City and primarily Manhattan were chosen as sites for investigation because of the City's high number of nightclubs, and because of the regulatory as well as real estate pressures that are currently affecting the industry. A variety of sources, including personal interviews with nightclub owners and their employees, various government documents, as well as spatial and non-spatial databases, were consulted to formulate conclusions. As is the case with other forms of retail, nightclub owners are most concerned with patron accessibility and proximity to complimentary businesses when deciding where to locate their businesses. Other factors are also discussed, as is a theory of how super-regional nightclub clusters form. Not surprisingly, the author finds that nightclub location choice is highly constrained by the content, administration, and evolution of various city and state laws. Finally, recommendations designed to ease the regulatory burden on nightclubs while still controlling for nuisance concerns are presented for both government agencies and the industry.
by Stephen J. Crim.
M.C.P.
Benchemam, Messaoud. "Disaggregate behavioural airport choice models." Thesis, Loughborough University, 1986. https://dspace.lboro.ac.uk/2134/11974.
Full textJain, Naveen K. "Resource, Strategies, Location Determinants, And Host Country Location Choice By Emerging Market Firms." FIU Digital Commons, 2009. http://digitalcommons.fiu.edu/etd/147.
Full textBayoh, Isaac Moussa. "Estimating the determinants of household residential location choice using a multinomial, discrete choice model." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374586719.
Full textNunes, Letícia Faria de Carvalho. "Practice location of physicians: a discrete choice model approach." reponame:Repositório Institucional do FGV, 2015. http://hdl.handle.net/10438/13827.
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Economists and policymakers have long been concerned with increasing the supply of health professionals in rural and remote areas. This work seeks to understand which factors influence physicians’ choice of practice location right after completing residency. Differently from previous papers, we analyse the Brazilian missalocation and assess the particularities of developing countries. We use a discrete choice model approach with a multinomial logit specification. Two rich databases are employed containing the location and wage of formally employed physicians as well as details from their post-graduation. Our main findings are that amenities matter, physicians have a strong tendency to remain in the region they completed residency and salaries are significant in the choice of urban, but not rural, communities. We conjecture this is due to attachments built during training and infrastructure concerns.
Books on the topic "Location choice"
Pagliara, Francesca, John Preston, and David Simmonds, eds. Residential Location Choice. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5.
Full textE, Yett Donald, ed. Physician location and specialty choice. Ann Arbor, Mich: Health Administration Press, 1985.
Find full textPagliara, Francesca. Residential Location Choice: Models and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.
Find full textNeil, Wrigley, Economic and Social Research Council (Great Britain), and Workshop on Methods of Retail Analysis and Forecasting (1986 : University of Bristol), eds. Store choice, store location, and market analysis. London: Routledge, 1988.
Find full textDunning, John H. The location choice of offices of international companies. Leicester: University of Leicester, Department of Economics, 1985.
Find full textJayet, Hubert. The location of firms: An analysis of choice processes. Reading: CeSAER, Faculty of Urban and Regional Studies, University of Reading, 1994.
Find full textJoy, Gray, ed. The perfect choice: The ultimate party and wedding location guide. 2nd ed. Silver Spring, Md: Gray McPherson Pub., 1998.
Find full textHamilton, Jonathan H. "Spatial discrimination: Bertrand vs. Cournot in a model of location choice". Fontainbleau: INSEAD, 1986.
Find full textKang, Sung Jin. Location choice of multinational companies in China: Korean and Japanese companies. Seoul, Korea: Korea Institute for International Economic Policy, 2004.
Find full textHead, Keith. Agglomeration benefits and location choice: Evidence from Japanese manufacturing investment in the United States. Cambridge, MA: National Bureau of Economic Research, 1994.
Find full textBook chapters on the topic "Location choice"
Pagliara, Francesca, and Alan Wilson. "The State-of-the-Art in Building Residential Location Models." In Residential Location Choice, 1–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_1.
Full textArentze, Theo, Harry Timmermans, and Jan Veldhuisen. "The Residential Choice Module in the Albatross and Ramblas Model Systems." In Residential Location Choice, 209–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_10.
Full textFeldman, Olga, Roger Mackett, Emma Richmond, David Simmonds, and Vassilis Zachariadis. "A Microsimulation Model of Household Location." In Residential Location Choice, 223–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_11.
Full textPagliara, Francesca, and David Simmonds. "Conclusions." In Residential Location Choice, 243–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_12.
Full textHunt, J. D. "Stated Preference Examination of Factors Influencing Residential Attraction." In Residential Location Choice, 21–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_2.
Full textPutman, Stephen H. "DRAM Residential Location and Land Use Model: 40 Years of Development and Application." In Residential Location Choice, 61–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_3.
Full textSimmonds, David. "The DELTA Residential Location Model." In Residential Location Choice, 77–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_4.
Full textMartínez, Francisco, and Pedro Donoso. "The MUSSA II Land Use Auction Equilibrium Model." In Residential Location Choice, 99–113. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_5.
Full textPagliara, Francesca, John Preston, and Jae Hong Kim. "The Impact of Transport Policy on Residential Location." In Residential Location Choice, 115–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_6.
Full textEliasson, Jonas. "The Influence of Accessibility on Residential Location." In Residential Location Choice, 137–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12788-5_7.
Full textConference papers on the topic "Location choice"
Yi Chao, Jiyuan Guo, Qi Wang, and Yang Yue. "Agent-based location choice simulation." In 2009 17th International Conference on Geoinformatics. IEEE, 2009. http://dx.doi.org/10.1109/geoinformatics.2009.5293061.
Full textQianqin Chen and Min Fan. "Firm Location Choice with Technological Diffusion." In 2008 International Seminar on Business and Information Management (ISBIM 2008). IEEE, 2008. http://dx.doi.org/10.1109/isbim.2008.222.
Full textBall, Asli. "European Corporate Location: The Choice Between Cities." In 8th European Real Estate Society Conference. ERES, 2001. http://dx.doi.org/10.15396/eres2001_110.
Full text"MOVING INTENTION AND CONDOMINIUM LOCATION CHOICE BEHAVIORS." In 15th Annual European Real Estate Society Conference: ERES Conference 2008. ERES, 2008. http://dx.doi.org/10.15396/eres2008_286.
Full textDavidson, Natalia, and Oleg Mariev. "FACTORS DETERMINING ENTERPRISE LOCATION CHOICE IN RUSSIA." In 11th Economics & Finance Conference, Rome. International Institute of Social and Economic Sciences, 2019. http://dx.doi.org/10.20472/efc.2019.011.005.
Full textZhang, Yan-Bo, and Hong Tian. "Location Choice and Industry Transfer of FDI." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2375.
Full textZuo, Yushan, and Yanbo Zhang. "Research on Location Choice of Vertically FDI." In International Conference on Education, Management, Computer and Society. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/emcs-16.2016.504.
Full textYang Huan, Chen Yan, Zhang Ze, and Zhang Zhiri. "Empirical research of Chinese outward FDI location choice." In 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icacte.2010.5579231.
Full textAppel-Meulenbroek, Rianne, Theo Arentze, Myriam Cloodt, and Wei Ng. "The location choice of technology-based firms: a stated choice experiment of science park alternatives." In 26th Annual European Real Estate Society Conference. European Real Estate Society, 2019. http://dx.doi.org/10.15396/eres2019_40.
Full textZhang, Yan-Bo, Xu Bian, Ye Liu, and Dao-Gang Qu. "Location Choice and Agglomeration Mechanism of Foreign Direct Investment." In 2012 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2012. http://dx.doi.org/10.1109/is3c.2012.219.
Full textReports on the topic "Location choice"
Branikas, Ioannis, Harrison Hong, and Jiangmin Xu. Location Choice, Portfolio Choice. Cambridge, MA: National Bureau of Economic Research, January 2017. http://dx.doi.org/10.3386/w23040.
Full textWatson, Tara. Enforcement and Immigrant Location Choice. Cambridge, MA: National Bureau of Economic Research, November 2013. http://dx.doi.org/10.3386/w19626.
Full textDavis, Morris, and Jesse Gregory. Place-Based Redistribution in Location Choice Models. Cambridge, MA: National Bureau of Economic Research, July 2021. http://dx.doi.org/10.3386/w29045.
Full textDong, Hongwei. Assessing Portland's Smart Growth: A Comprehensive Housing Supply and Location Choice Modeling Approach. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.183.
Full textHead, Keith, John Ries, and Deborah Swenson. Agglomeration Benefits and Location Choice: Evidence from Japanese Manufacturing Investment in the United States. Cambridge, MA: National Bureau of Economic Research, June 1994. http://dx.doi.org/10.3386/w4767.
Full textYang, Yizhao. Understanding School Travel: How Residential Location Choice and the Built Environment Affect Trips to School. Portland State University Library, January 2010. http://dx.doi.org/10.15760/trec.22.
Full textInge, Hooijen, Bijlsma Ineke, Cörvers Frank, and Poulissen Davey. The geographical psychology of recent graduates in the Netherlands: Relating enviornmental factors and personality traits to location choice. Maastricht University, Graduate School of Business and Economics, 2020. http://dx.doi.org/10.26481/umagsb.20003.
Full textInge, Hooijen, Bijlsma Ineke, Cörvers Frank, and Poulissen Davey. The geographical psychology of recent graduates in the Netherlands: Relating environmental factors and personality traits to location choice. Research Centre for Education and the Labour Market, 2020. http://dx.doi.org/10.26481/umaror.2020001.
Full textMerkulova, Yuliya. Система цифровых моделей - новая технология для баланса данных. Yuliya Merkulova, April 2021. http://dx.doi.org/10.12731/er0430.26042021.
Full textBottan, Nicolas, and Ricardo Perez-Truglia. Choosing Your Pond: Location Choices and Relative Income. Cambridge, MA: National Bureau of Economic Research, July 2017. http://dx.doi.org/10.3386/w23615.
Full text