TY  - JOUR
PY  - 2024//
TI  - Identifying and understanding long-distance travel demand by combining official transport statistics and survey data
JO  - Transportation research procedia
A1  - Schulz, Angelika
A1  - Magdolen, Miriam
A1  - Chlond, Bastian
A1  - Kuhnimhof, Tobias
A1  - Köhler, Katja
SP  - 458
EP  - 469
VL  - 76
IS  - 
N2  - 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 "Mobility in Germany (MiD)", 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>
LA  - en
SN  - 2352-1465
UR  - http://dx.doi.org/10.1016/j.trpro.2023.12.068
ID  - ref1
ER  -