Crowd-shipping promises social, economic, and environmental benefits covering a range of
stakeholders. Yet, at the same time, many crowd-shipping initiatives face multiple barriers …

Sensing cost and data quality are two primary concerns in mobile crowd sensing. In this
article, we propose a new crowd sensing paradigm, sparse mobile crowd sensing, which …

Location Based Social Networks (LBSNs) have been widely used as a primary data source
to study the impact of mobility and social relationships on each other. Traditional …

As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …

The emergence of Location-based Social Network (LBSN) services provides a wonderful
opportunity to build personalized Point-of-Interest (POI) recommender systems. Although a …

Recommender Systems are currently highly relevant for helping users deal with the
information overload they suffer from the large volume of data on the web, and automatically …

Despite the great demand on and attempts at package express shipping services, online
retailers have not yet had a practical solution to make such services profitable. In this paper …

Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …

Predicting the user's trajectory behavior sequence based on point of interests (POIs)
recommendation is of great significance in the realization of the smart city with the emerging …

Travel behavior understanding is a long-standing and critically important topic in the area of
smart cities. Big volumes of various GPS-based travel data can be easily collected, among …