✅ Mobile tracking data with temporal information can be used to detect the transport modes 🚴🚌🚗 in suitable conditions.
✅ Sustainable mobility shares vary largely in the city region.
✅ The approach provides new insights into modal shares within the origin-destination pattern.
✅ Mobile tracking data with temporal information can be used to detect the transport modes 🚴🚌🚗 in suitable conditions.
✅ Sustainable mobility shares vary largely in the city region.
✅ The approach provides new insights into modal shares within the origin-destination pattern.