Shopping Trip Choice Prediction for Assessing Store Relocation: a Joint Data-Driven and Behavioural Modelling Approach

[1] Formánek, T. & Sokol, O. (2022). Location effects: Geo-spatial and socio-demographic determinants of sales dynamics in brick-and-mortar retail stores. Journal of Retailing and Consumer Services 66, 102902. DOI: 10.1016/j.jretconser.2021.102902. Search in Google Scholar

[2] Nahiduzzaman, K.M., Holland, M., Sikder, S.K., Shaw, P., Hewage, K. & Sadiq, R. (2021). Urban transformation toward a smart city: an e-commerce–induced path-dependent analysis. Journal of Urban Planning and Development 147(1), 04020060. DOI: 10.1061/(ASCE)UP.1943-5444.0000648. Search in Google Scholar

[3] Dellaert, B.G., Arentze, T.A. & Timmermans, H.J. (2008). Shopping context and consumers’ mental representation of complex shopping trip decision problems. Journal of Retailing 84(2), 219-232. DOI: 10.1016/j.jretai.2008.02.001. Search in Google Scholar

[4] Ortúzar, J.D. & Willumsen, L.G. (2024). Modelling transport. 5^th edition. Chichester: John Wiley & Sons. DOI: 10.1002/9781119993308. Search in Google Scholar

[5] Hounwanou, S., Comi, A., Gonzalez-Feliu, J. & Gondran, N. (2018). Inner city versus urban periphery retailing: store relocation and shopping trip behaviours. Indications from Saint-Etienne. Transportation Research Procedia 30, 363-372. DOI: 10.1016/j.trpro.2018.09.039. Search in Google Scholar

[6] Hensher, D.A. & Johnson, L.W. (2018). Applied discrete-choice modelling. London: Routledge. DOI: 10.4324/9781351140768. Search in Google Scholar

[7] Ölmez, M. & Lindemann, U. (2014). Managing attribute complexity for user-centered decision support systems. Procedia Computer Science 28, 130-137. DOI: 10.1016/j.procs.2014.03.017. Search in Google Scholar

[8] Timmermans, H. (2012). Retail and spatial consumer behaviour. In Wells, V. & Foxall, G. (eds.), Handbook of Developments in Consumer Behaviour (pp. 121-146). London: Edward Elgar. DOI: 10.4337/9781781005125. Search in Google Scholar

[9] Gonzalez-Feliu, J. (2018). Sustainable urban logistics: Planning and evaluation. London: John Wiley & Sons. DOI: 10.1002/9781119421948. Search in Google Scholar

[10] Hothorn, T., Hornik, K. & Zeileis, A. (2006). Unbiased recursive partitioning: A conditional inference framework. Journal of Computational and Graphical statistics 15(3), 651-674. DOI: 10.1198/106186006X133933. Search in Google Scholar

[11] d’Arcier, B.F., Andan, O. & Raux, C. (1998). Stated adaptation surveys and choice process: some methodological issues. Transportation 25(2), 169-185. DOI: 10.1023/A:1005042505063. Search in Google Scholar

[12] Ang, K.L.M., Seng, J.K.P., Ngharamike, E. & Ijemaru, G.K. (2022). Emerging technologies for smart cities’ transportation: geo-information, data analytics and machine learning approaches. International Journal of Geo-Information 11(2), 85. DOI: 10.3390/ijgi11020085. Search in Google Scholar

[13] Fullerton, A.S. (2020). Logit and probit: binary and multinomial choice models. Ew York: SAGE Publications Ltd. DOI: 10.4135/9781526421036845007. Search in Google Scholar

[14] Cramer, J.S. & Ridder, G. (1988). The logit model in economics. Statistica Neerlandica 42(4), 297-314. DOI: 10.1111/j.1467-9574.1988.tb01241.x. Search in Google Scholar

[15] Breiman, L. (1996, January). Out-of-bag estimation. Technical report, Department of Statistics, University of California, Berkeley. Retrieved January 31, 2025, from https://www.stat.berkeley.edu/pub/users/breiman/OOBestimation.pdf Search in Google Scholar

[16] Bagul, A. & Rajhans, R.K. (2024). How to Conduct Before-and-after Studies. New York: SAGE Publications Ltd. DOI: 10.4135/9781529685626. Search in Google Scholar

[17] Kuhn, M. & Johnson, K. (2013). Applied predictive modeling. New York: Springer. DOI: 10.1007/978-1-4614-6849-3. Search in Google Scholar

[18] CEREMA (2021). Mobility surveys certified by Cerema (EMC²) (in French). Principes méthodologiques. CEREMA, Collection Retrieved from https://www.cerema.fr/fr/centreressources/boutique/ Search in Google Scholar

[19] Ortúzar, J. de D. & Willumsen, L.G. (2011). Modelling transport. 4^th Edition. John Wiley & Sons. DOI: 10.1002/9781119993308. Search in Google Scholar

[20] McCullagh, P. & Nelder, J.A. (1998). Generalized linear models, 2nd ed. Monographs on statistics and applied probability. Boca Raton: Chapman & Hall/CRC. DOI: 10.1201/9780203753736. Search in Google Scholar

[21] Huang, A. & Levinson, D. (2017). A model of two-destination choice in trip chains with GPS data. Journal of Choice Modelling, 24, 51–62. DOI: 10.1016/j.jocm.2016.04.002. Search in Google Scholar

[22] Pumain, D. & Reuillon, R. (2017). Urban dynamics and simulation models. Cham: Springer International Publishing. DOI: 10.1007/978-3-319-46497-8. Search in Google Scholar