Even a journey can be a destination: Exploring the spatial patterns of motorcycle traffic in the Czech Republic based on official and crowdsourced data
Stanislav Kraft , Miroslav Marada , Jakub Petříček , Vojtěch Blažek , Anna Krovová
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引用次数: 0
Abstract
Not only in geography is motorcycle transport still a very under-researched phenomenon. Although there has been a recent growth in academic interest in motorcycle transport, there are still some key questions that remain unanswered. Empirical studies analysing motorcycle transport are surprisingly also based mainly on observations in the Global South, with very little research in the economically developed countries of the Global North. This paper aims to examine the spatial patterns of motorcycle transport in the Czech Republic. For the analysis, we use official data on average motorcycle intensities on the road network (i), and unofficial data crowdsourced from individual GPS navigations and social networks (ii). We found major inconsistencies between the two data sources. The paper’s main contribution is to demonstrate the great potential of crowdsourced data to identify important aspects of the spatial organisation of motorcycle traffic. Based on these data, we found substantial differences in the intensity of motorcycle traffic on the road network (different use of individual categories of communications according to both types of data), the popularity of individual motorcycle routes (higher popularity of scenic roads in GPS data), and the different lengths of individual trips during weekdays and weekends.
期刊介绍:
Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.