Accurate road networks are of great importance to online food delivery (OFD) services. In
recent years, various data sources have been used to extract road information. Remote …

Intelligent transportation and advanced mobility techniques focus on hel** operators to
efficiently manage navigation tasks in smart cities, enhancing cost efficiency, increasing …

Online Delivery Platforms (ODPs) have revolutionised the delivery of restaurant-prepared
food. There is a need for a systematic identification and classification of the problems …

Along with the rapid growth and rise to prominence of food delivery platforms, concerns
have also risen about the terms of employment of the``gig workers''underpinning this growth …

Platform companies use techniques of algorithmic management to control their users.
Though digital marketplaces vary in their use of these techniques, few studies have asked …

In recent years, ride-hailing services have emerged as a popular means of transportation for
the residents of urban areas. There is an inequality in the spatio-temporal distribution of …

Privacy-preserving machine learning (PPML) promises to train machine learning (ML)
models by combining data spread across multiple data silos. Theoretically, secure multiparty …

Increasing adoption of online commerce has created income opportunities for millions of
delivery drivers who deliver items, from clothes and smartphones to foods and medicines, to …

With the increasing popularity of food delivery platforms, it has become pertinent to look into
the working conditions of the'gig'workers in these platforms, especially providing them fair …

We present an optimization model for assigning orders to couriers developed for an Italian
meal delivery firm focusing on Rome. The firm focuses on top-end restaurants and …