@article{ref1,
title="Identifying and understanding long-distance travel demand by combining official transport statistics and survey data",
journal="Transportation research procedia",
year="2024",
author="Schulz, Angelika and Magdolen, Miriam and Chlond, Bastian and Kuhnimhof, Tobias and Köhler, Katja",
volume="76",
number="",
pages="458-469",
abstract="While much is known about everyday travel of the German population, long-distance travel is still underreported. The main data source, the national travel survey &quot;Mobility in Germany (MiD)&quot;, cannot simply be used to describe the demand: complex extrapolations and complementary data are necessary to obtain a consistent picture. The presented approach of 'data fusion' integrates different data sources to provide the overall long-distance travel demand. The result reveals that almost half of the total transport performance of the residential population in Germany (46 % of passenger kilometers) is accounted for by trips of at least 100 km (one-way distance).<p /> <p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2023.12.068",
url="http://dx.doi.org/10.1016/j.trpro.2023.12.068"
}