ABSTRACT New Big Data sources such as mobile phone call data records, smart card data
and geo-coded social media records allow to observe and understand mobility behaviour on …

提要基于智能卡的公共交通自动计费系统的广泛应用产生了大量的基于个体的微观时空数据.
这种数据不仅记录了持卡者的出行行为, 同时也在个体维度揭示了城市空间的使用模式 …

Abstract Location Based Services (LBS) provide a new perspective for spatiotemporally
analyzing dynamic urban systems. Research has investigated urban dynamics using LBS …

This paper presents the main foundations of big data applied to smart cities. A general
Internet of Things based architecture is proposed to be applied to different smart cities …

Demographics are widely used in marketing to characterize different types of customers.
However, in practice, demographic information such as age, gender, and location is usually …

Mobility prediction enables appealing proactive experiences for location-aware services and
offers essential intelligence to business and governments. Recent studies suggest that …

Timely and accurate prediction of human movement in urban areas offers instructive insights
into transportation management, public safety, and location-based services, to name a few …

The wide adoption of location-based services provide the potential to understand people's
mobility pattern at an unprecedented level, which can also enable food-service industry to …

Collecting fares through" smart cards" is becoming standard in most advanced public
transport networks of major cities around the world. Travellers value their convenience and …

Optimal planning for public transportation is one of the keys helping to bring a sustainable
development and a better quality of life in urban areas. Compared to private transportation …