This paper reviews the emerging big data literature applied to urban transportation issues from the perspective of economic research. It provides a typology of big data sources relevant to transportation analyses and describes how these data can be used to measure mobility, associated...

Die seit der Einführung der Lkw-Maut geführte Mautstatistik wird als Konjunkturindikator diskutiert. Die Daten müssten für eine Konjunkturprognose gute Dienste leisten, weil sie kurzfristig zu ermitteln sind und einen offensichtlichen Zusammenhang mit der Konjunktur haben. Der Vergleich mit...

Many governments have banned strikes in public transportation. Whether this can be justified depends on whether strikes endanger public safety or health. We use time-series and cross-sectional variation in powerful registry data to quantify the effects of public transit strikes on urban...

Purpose: The main goal of this study is to exact an optimal forecasting method by answering the research question: which is the best model for capturing short-term seasonal components of passenger traffic in Greek coastal shipping? Design/methodology/approach: There are not a lot of scientific...

Inspired by the question of identifying the start time τ of financial bubbles, we address the calibration of time series in which the inception of the latest regime of interest is unknown. By taking into account the tendency of a given model to overfit data, we introduce the Lagrange...