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

Sonagnon Hounwanou, Antonio Comi (), Jesus Gonzalez-Feliu () and Natacha Gondran ()
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Sonagnon Hounwanou: VeDeCom - VEhicule DEcarboné et COmmuniquant et sa Mobilité
Antonio Comi: Università degli Studi di Roma Tor Vergata [Roma, Italia] = University of Rome Tor Vergata [Rome, Italy] = Université de Rome Tor Vergata [Rome, Italie]
Jesus Gonzalez-Feliu: Excelia Group | La Rochelle Business School, Excelia Group | La Rochelle Business School
Natacha Gondran: Mines Saint-Étienne MSE - École des Mines de Saint-Étienne - IMT - Institut Mines-Télécom [Paris], FAYOL-ENSMSE - Institut Henri Fayol - Mines Saint-Étienne MSE - École des Mines de Saint-Étienne - IMT - Institut Mines-Télécom [Paris], FAYOL-ENSMSE - Département Génie de l’environnement pour les organisations - Institut Henri Fayol - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne, EVS - Environnement, Ville, Société - ENS de Lyon - École normale supérieure de Lyon - Université de Lyon - Mines Saint-Étienne MSE - École des Mines de Saint-Étienne - IMT - Institut Mines-Télécom [Paris] - UL2 - Université Lumière - Lyon 2 - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées - UJM - Université Jean Monnet - Saint-Étienne - ENTPE - École Nationale des Travaux Publics de l'État - ENSAL - École nationale supérieure d'architecture de Lyon - CNRS - Centre National de la Recherche Scientifique - ALLHiS - Approches Littéraires, Linguistiques et Historiques des Sources - UJM - Université Jean Monnet - Saint-Étienne

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Abstract: This paper proposes and tests a methodology to analyse end consumers' choices in terms of shopping destination for a store selling culture products, comparing a city centre location to a peripheral one. The proposed methodology begins with a stated preferences survey and incorporates a conditional tree classification algorithm to pre-select the predictors (attributes), then used to develop a discrete choice model. To validate the methodology, a real-world case study was carried out, including a survey with over one thousand customer responses. The findings reveal noteworthy insights into customer attitudes toward relocation, distinguishing frequent from non-frequent users and examining factors such as travel distance and visit frequency. These results offer valuable guidance for retailers and policy makers in shaping city logistics scenarios, highlighting the potential transformations in urban freight flows driven by changes in retail land use.

Keywords: destination choice; logit model; conditional-inference-tree; Shopping trip behaviour; Shopping trip behaviour conditional-inference-tree logit model destination choice (search for similar items in EconPapers)
Date: 2025-08-21
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-05230928v1
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Published in LOGI – Scientific Journal on Transport and Logistics, 2025, 16, pp.104 - 115. ⟨10.2478/logi-2025-0010⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-05230928

DOI: 10.2478/logi-2025-0010

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