Engaging the crowd in sensing for smart mobility: A discrete choice experiment

With rising numbers of people living in cities leading to increasing congestion and pollution, mobile crowdsensing applications form a potential solution to make transport systems smarter and more efficient. However, sharing data comes with the risk of private information being disclosed. Therefore, a clear incentive is necessary to motivate...

Engaging the Crowd in Sensing for Smart Mobility: A Discrete Choice Experiment Investigating Users' Preferences in Participatory Sensing Applications

In 2050, it is expected that 70% of the world’s population will live in cities (Jin et al., 2014), leading to increasing congestion in and surrounding cities. This will raise new challenges, requiring more efficient and interactive cities. A novel paradigm contributing to these so-called smart cities is participatory sensing. Also known as...

Personalization vs. Privacy: Overcoming the Users’ Privacy Concerns in the Indonesian Peer-to-peer Ridesharing Service

The recent ICT developments have created new business model innovation opportunities. One of notable opportunities is to offer personalization to the peer-to-peer (P2P) ridesharing users in transportation service. However, to offer personalization, the company will need more sensitive personal information disclosure from its customer. Therefore,...