The emergence of new technologies such as GPS, cellphone, Bluetooth device, etc. offers opportunities for collecting high-fidelity temporal-spatial travel data in a cost-effective manner.
The low prevalence of Australian students' utilitarian school cycling could be attributed to the varied and context specific demographic, socio-economic and spatial school travel mode choice determinants.
Both spatial (total travel distance, tortuosity (defined below), dispersal distance) and temporal (residence time, estuarine residence, dispersal time) components of each track were quantified for each species.
The research findings reveal that the spatial distributions of travel demand extracted from the two transport modes exhibit high correlations.
The descriptive and regression outcomes show that there is a spatial diversity in travel patterns across the city.
Automatic vehicle identification (AVI), License Plate Recognition Systems, Signature Matching Systems, Platoon Identification Systems, Global Positioning Systems (GPS), mobile phones, and Bluetooth are some common examples of devices that can be used as spatial sensors for travel stream analyses.
Gender gaps in car use are much wider than in the West, and some level of spatial mismatch between travel needs and car access is observed in the southern section of the city.
In this paper, we focus on the spatial distribution of travel time differences between car and public transport during peak and off-peak hours using geospatial methods and circular statistics.
