Freight transport management and planning traditionally relies on freight models. However, e-commerce has changed the way is transported requires a paradigm shift in such In contrast to conventional purchases physical outlets, there spatial temporal disconnection between purchase reception of goods bought online. While shopper brings home purchases, courier, express parcel (CEP) sector must bri...

This study examines the causal relationship between popularity information and purchasing behavior in an online store. In a randomized field experiment we exogenously manipulated the visibility of user-generated content similar to Google’s +1s or Facebook’s Likes. Displaying the number of people who “Like” a product caused a +12.97% sales increase (13,883.74 EUR in the treatment group; 12,289.4...

Human flow data are rich behavioral relevant to people's decision-making regarding where live, work, go shopping, etc., and provide vital information for identifying city centers. However, it is not as easy understand massive relational data, datasets have often been reduced merely the statistics of trip counts at destinations, discarding from origin destination. In this study, we propose an al...

This paper attempts to answer the question of whether or not “segregation”, or at least “differentiation”, takes place in commercial areas in terms of “spatial homophily”. Based on the 2010 Household Travel Survey data in the Seoul metropolitan area, we first identify Seoul’s top 20 destinations for weekend shopping and leisure trips. Then, using traveler information regarding gender, age, and ...

RFID technology has been recently adopted in retail environments to track consumer in-store movements, bringing about new exciting opportunities for spatial data mining-enabled marketing. In this paper, we propose a Dynamic Bayesian Networks (DBN)-based model of customer in-store shopping trips and activities. This model infers a customer's product purchase interest given the observations of cu...

The modal split model is one of the steps of the classical four-step travel demand planning. Predictive, descriptive, and prescriptive modal split models are essential to make a balance between travel demand and supply. To calibrate these models, it is necessary to detect and employ influential independent variables that are related to characteristics of travel modes, individual and family attr...

This study aims to examine the extent which SARS-Cov-2 and associated governmental interventions mitigate virus transmission has affected daily travel decisions in Bangladesh. A questionnaire survey was used record opinions of respondents hailing from diverse socio-economic backgrounds on trip number mode preferences for a variety purposes “before” “during” COVID-19 situation. assess changes (i...

In order to enhance consumers’ experience of online shopping and reduce their unnecessary car trips for offline shopping, a new mode, namely, establishing the virtual-shopping-experience store, is proposed in this paper. A bi-level programming model then built with aim optimizing location stores. The upper-level submodel utilized optimize stores, as well selection virtual-reality (VR) devices p...