Identification of robust retailing location patterns with complex network approaches

Erreferentzia bibliografikoak

• Weber A (1909) Uber den Standort der Industrien. Russell & Russell, Tübingen
• Marshall A (1890) Principle of economics. Macmillan, London
• Marcon E, Puech F (2003) Evaluating the geographic concentration of industries using distance-based methods. J Econ Geogr 3:409–428. https://doi.org/10.1093/jeg/lbg016
• Krugman P (1991) Geography and trade. MIT Press, London
• Beguin H (1992) Christaller’s central place postulates. Ann Reg Sci 26:209–229. https://doi.org/10.1007/BF01581383
• Moses LN (1958) Location and the theory of production. Q J Econ 72:259. https://doi.org/10.2307/1880599
• Wallsten SJ (2001) An empirical test of geographic knowledge spillovers using geographic information systems and firm-level data. Reg Sci Urban Econ 31:571–599. https://doi.org/10.1016/S0166-0462(00)00074-0
• Bozkaya B, Yanik S, Balcisoy S (2010) A GIS-based optimization framework for competitive multi-facility location-routing problem. Netw Spat Econ 10:297–320. https://doi.org/10.1007/s11067-009-9127-6
• Brache J, Felzensztein C (2019) Geographical co-location on Chilean SME’s export performance. J Bus Res 105:310–321. https://doi.org/10.1016/j.jbusres.2017.11.044
• Fujita M, Krugman P (2003) The new economic geography: Past, present and the future. Pap Reg Sci 83:139–164
• Duranton G, Puga D (2004) Micro-foundations of urban agglomeration economies. In: Handbook of regional and urban economics. Elsevier, pp 2063–2117
• Jara-Figueroa C, Jun B, Glaeser EL, Hidalgo CA (2018) The role of industry-specific, occupation-specific, and location-specific knowledge in the growth and survival of new firms. Proc Natl Acad Sci 115:12646–12653. https://doi.org/10.1073/pnas.1800475115
• Pablo-Martí F, Arauzo-Carod JM (2018) Spatial distribution of economic activities: a network approach. J Econ Interact Coord. https://doi.org/10.1007/s11403-018-0225-8
• Berman BR, Evans JR, Chatterjee PM (2018) Retail management. A strategic approach. Pearson
• Ciari F, Löchl M, Axhausen KW (2008) Location decisions of retailers: an agent-based approach. In: 15th International conference on recent advances in retailing and services science, pp 1–34
• Zentes J, Morschett D, Schramm-Klein H (2012) Strategic retail management. Gabler, Wiesbaden
• Reynolds J, Wood S (2010) Location decision making in retail firms: evolution and challenge. Int J Retail Distrib Manag 38:828–845. https://doi.org/10.1108/09590551011085939
• Erbıyık H, Özcan S, Karaboğa K (2012) Retail store location selection problem with multiple analytical hierarchy process of decision making an application in Turkey. Procedia Soc Behav Sci 58:1405–1414. https://doi.org/10.1016/j.sbspro.2012.09.1125
• Shaikh SA, Memon MA, Prokop M, Kim KS (2020) An AHP/TOPSIS-based approach for an optimal site selection of a commercial opening utilizing geospatial data. In: Proc 2020 IEEE Int Conf Big Data Smart Comput BigComp 2020, pp 295–302. https://doi.org/10.1109/BigComp48618.2020.00-58
• Konishi H (2005) Concentration of competing retail stores. J Urban Econ 58:488–512. https://doi.org/10.1016/j.jue.2005.08.005
• Xiong X, Xiong F, Zhao J et al (2020) Dynamic discovery of favorite locations in spatio-temporal social networks. Inf Process Manag 57:102337. https://doi.org/10.1016/j.ipm.2020.102337
• Chen YM, Chen TY, Chen LC (2020) On a method for location and mobility analytics using location-based services: a case study of retail store recommendation. Online Inf Rev. https://doi.org/10.1108/OIR-10-2017-0292
• Zheng Y, Capra L, Wolfson O, Yang H (2014) Urban computing. ACM Trans Intell Syst Technol 5:1–55. https://doi.org/10.1145/2629592
• Ma Y, Mao J, Ba Z, Li G (2020) Location recommendation by combining geographical, categorical, and social preferences with location popularity. Inf Process Manag 57:102251. https://doi.org/10.1016/j.ipm.2020.102251
• Bao J, Zheng Y, Wilkie D, Mokbel M (2015) Recommendations in location-based social networks: a survey. GeoInformatica 19:525–565. https://doi.org/10.1007/s10707-014-0220-8
• Valverde-Rebaza JC, Roche M, Poncelet P, de Lopes A (2018) The role of location and social strength for friendship prediction in location-based social networks. Inf Process Manag 54:475–489. https://doi.org/10.1016/j.ipm.2018.02.004
• Zhang K, Pelechrinis K, Lappas T (2018) Effects of promotions on location-based social media: evidence from foursquare. Int J Electron Commer 22:36–65. https://doi.org/10.1080/10864415.2018.1396118
• Guo B, Liu Y, Ouyang Y et al (2019) Harnessing the power of the general public for crowdsourced business intelligence: a survey. IEEE Access 7:26606–26630. https://doi.org/10.1109/ACCESS.2019.2901027
• Monaghan S, Lavelle J, Gunnigle P (2017) Mapping networks: exploring the utility of social network analysis in management research and practice. J Bus Res 76:136–144. https://doi.org/10.1016/j.jbusres.2017.03.020
• Hidalgo CA, Castañer E, Sevtsuk A (2020) The amenity mix of urban neighborhoods. Habitat Int. https://doi.org/10.1016/j.habitatint.2020.102205
• Goh S, Choi MY, Lee K, Kim K (2016) How complexity emerges in urban systems: theory of urban morphology. Phys Rev E 93:052309. https://doi.org/10.1103/PhysRevE.93.052309
• Jensen P (2006) Network-based predictions of retail store commercial categories and optimal locations. Phys Rev E 74:035101. https://doi.org/10.1103/PhysRevE.74.035101
• Jensen P (2009) Analyzing the localization of retail stores with complex systems tools. In: Adams NM, Robardet C, Siebes A, Boulicaut J-F (eds) Advances in intelligent data analysis VIII. Springer, Berlin, pp 10–20
• Reilly WJ (1931) The law of retail gravitation. Knickerbocker Press, New York
• Huff DL (1964) Defining and estimating a trading area. J Mark 28:34–38. https://doi.org/10.2307/1249154
• Cliquet G, Baray J (2020) Location-based marketing. Wiley
• Ladle JK, David SD (2009) Retail site selection: A new, innovative model for retail development. Cornell Real Estate Rev 7:1–27
• Önüt S, Efendigil T, Soner Kara S (2010) A combined fuzzy MCDM approach for selecting shopping center site: an example from Istanbul, Turkey. Expert Syst Appl 37:1973–1980. https://doi.org/10.1016/j.eswa.2009.06.080
• García JL, Alvarado A, Blanco J et al (2014) Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an analytic hierarchy process. Comput Electron Agric 100:60–69. https://doi.org/10.1016/j.compag.2013.10.009
• Wang S-P, Lee H-C, Hsieh Y-K (2016) A Multicriteria approach for the optimal location of gasoline stations being transformed as self-service in Taiwan. Math Probl Eng 2016:1–10. https://doi.org/10.1155/2016/8341617
• Roig-Tierno N, Baviera-Puig A, Buitrago-Vera J, Mas-Verdu F (2013) The retail site location decision process using GIS and the analytical hierarchy process. Appl Geogr 40:191–198. https://doi.org/10.1016/j.apgeog.2013.03.005
• Choudhury S, Howladar P, Majumder M, Saha AK (2019) Application of novel MCDM for location selection of surface water treatment plant. IEEE Trans Eng Manag. https://doi.org/10.1109/TEM.2019.2938907
• Çoban V (2020) Solar energy plant project selection with AHP decision-making method based on hesitant fuzzy linguistic evaluation. Complex Intell Syst 6:507–529. https://doi.org/10.1007/s40747-020-00152-5
• Hidalgo CA et al (2018) The principle of relatedness. In: Morales A, Gershenson C, Braha D, Minai A, Bar-Yam Y (eds) Unifying themes in complex systems IX. ICCS 2018. Springer proceedings in complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-96661-8_46
• Tobler WR (1979) Cellular geography. Philosophy in geography. Springer Netherlands, Dordrecht, pp 379–386
• Karamshuk D, Noulas A, Scellato S et al (2013) Geo-spotting: mining online location-based services for optimal retail store placement. In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 793–801
• Lin J, Oentaryo R, Lim E-P et al (2016) Where is the goldmine? In: Proceedings of the 27th ACM conference on hypertext and social media—HT ’16. ACM Press, New York, pp 93–102
• Xu M, Wang T, Wu Z et al (2016) Store location selection via mining search query logs of baidu maps. arXiv:1606.03662
• Chen L, Zhang D, Pan G et al (2015) Bike sharing station placement leveraging heterogeneous urban open data. In: Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing—UbiComp ’15. ACM Press, New York, pp 571–575
• Chen L, Zhang D, Wang L et al (2016) Dynamic cluster-based over-demand prediction in bike sharing systems. In: Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing. ACM, New York, pp 841–852
• Chen J, Yu C, Jin H (2019) Evaluation model for business sites planning based on online and offline datasets. Futur Gener Comput Syst 91:465–474. https://doi.org/10.1016/j.future.2018.08.024
• Rohani AMBM, Chua F-F (2018) Location analytics for optimal business retail site selection. In: Computational science and its applications—ICCSA 2014 and its applications—ICCSA 2018. Springer International Publishing, pp 392–405
• Guo B, Li J, Zheng VW et al (2018) CityTransfer. Proc ACM Interact Mobile Wearable Ubiquit Technol 1:1–23. https://doi.org/10.1145/3161411
• Marcon E, Puech F (2010) Measures of the geographic concentration of industries: improving distance-based methods. J Econ Geogr 10:745–762. https://doi.org/10.1093/jeg/lbp056
• Reichardt J, Bornholdt S (2004) Detecting fuzzy community structures in complex networks with a Potts model. Phys Rev Lett 93:218701. https://doi.org/10.1103/PhysRevLett.93.218701
• Bollobás B (1980) A probabilistic proof of an asymptotic formula for the number of labelled regular graphs. Eur J Combin 1:311–316. https://doi.org/10.1016/S0195-6698(80)80030-8
• Newman MEJ, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E 69:026113. https://doi.org/10.1103/PhysRevE.69.026113
• Sarzynska M, Leicht EA, Chowell G, Porter MA (2016) Null models for community detection in spatially embedded, temporal networks. J Complex Netw 4:363–406. https://doi.org/10.1093/comnet/cnv027
• Fagiolo G, Squartini T, Garlaschelli D (2013) Null models of economic networks: the case of the world trade web. J Econ Interact Coord 8:75–107. https://doi.org/10.1007/s11403-012-0104-7
• Fortunato S, Hric D (2016) Community detection in networks: a user guide. Phys Rep 659:1–44. https://doi.org/10.1016/j.physrep.2016.09.002
• Porter M, Onnela J-P, Mucha PJ (2009) Communities in networks. Am Math Soc. https://doi.org/10.1016/j.physrep.2009.11.002
• Danon L, Díaz-Guilera A, Duch J, Arenas A (2005) Comparing community structure identification. J Stat Mech Theory Exp 2005:P09008–P09008. https://doi.org/10.1088/1742-5468/2005/09/P09008
• Gómez S, Jensen P, Arenas A (2009) Analysis of community structure in networks of correlated data. Phys Rev E Stat Nonlinear Soft Matter Phys 80:16114. https://doi.org/10.1103/PhysRevE.80.016114
• Vinh NX, Epps J, Bailey J (2010) Information theoretic measures for clusterings comparison: variants, properties, normalization and correction for chance. J Mach Learn Res 11:2837–2854
• Meilă M (2007) Comparing clusterings—an information based distance. J Multivar Anal 98:873–895. https://doi.org/10.1016/j.jmva.2006.11.013
• Lancichinetti A, Fortunato S (2012) Consensus clustering in complex networks. Sci Rep 2:336. https://doi.org/10.1038/srep00336
• Lancichinetti A, Radicchi F, Ramasco JJ, Fortunato S (2011) Finding statistically significant communities in networks. PLoS ONE 6:e18961. https://doi.org/10.1371/journal.pone.0018961
• Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 2008:P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008
• Rosvall M, Bergstrom CT (2008) Maps of random walks on complex networks reveal community structure. Proc Natl Acad Sci USA 105:1118–1123. https://doi.org/10.1073/pnas.0706851105
• Gregory S (2010) Finding overlapping communities in networks by label propagation. New J Phys 12:103018. https://doi.org/10.1088/1367-2630/12/10/103018
• Newman MEJ (2004) Analysis of weighted networks. Phys Rev E 70:056131. https://doi.org/10.1103/PhysRevE.70.056131
• Arenas A, Duch J, Fernández A, Gómez S (2007) Size reduction of complex networks preserving modularity. New J Phys 9:176–176. https://doi.org/10.1088/1367-2630/9/6/176
• Newman MEJ (2006) Modularity and community structure in networks. Proc Natl Acad Sci 103:8577–8582. https://doi.org/10.1073/pnas.0601602103
• Duch J, Arenas A (2005) Community detection in complex networks using extremal optimization. Phys Rev E 72:027104. https://doi.org/10.1103/PhysRevE.72.027104
• Arenas A, Fernández A, Gómez S (2008) Analysis of the structure of complex networks at different resolution levels. New J Phys 10:053039. https://doi.org/10.1088/1367-2630/10/5/053039
• Newman MEJ (2004) Fast algorithm for detecting community structure in networks. Phys Rev E 69:066133. https://doi.org/10.1103/PhysRevE.69.066133