The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips
By N. Limtanakool, Martin Dijst, Tim Schwanen. 2006
421 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/87dc757aea5fdee4fcab4e995fabbeb7cd1caa4a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Joachim Scheiner
- Christian Holz-Rau
- Marco Helbich
- Julian Hagenauer
- Selima Sultana
- Patricia L. Mokhtarian
- Frank Witlox
- Veronique Van Acker
In Transportation
- Christian Holz-Rau
- Joachim Scheiner
- Marco Helbich
- Julian Hagenauer
- Joe Weber
- Selima Sultana
- Patricia L. Mokhtarian
- Frank Witlox
Citations in the corpus
- Journey-to-Work Patterns in the Age of Sprawl: Evidence from Two Midsize Southern Metropolitan Areas* (2007, background): “A large body of theoretical and empirical research (eg, Handy 1996 ; Sultana 2005a ; Limtanakool, Dijst, and Schwanen 2006 ) has shown that a number of variables (eg, race, income, mode of transportation, location, population and household density, employment density, home-ownership, and time lea”
- Gendered travel mode choice: a focus on car deficient households (2012, background): “Limtanakool et al. (2006) find higher modal shares of train use and less car use among women than men for trips longer than 50 km, the differences being more pronounced for commuting than for business or leisure trips.”
- A comparative study of machine learning classifiers for modeling travel mode choice (2017, result): “Considering that address density is a proxy348 for population density, these results correspond to Limtanakool et al. (2006), who determined that high349 population density is associated with an increased use of public transport.350 Finally, the results also indicate that temperature and proportion…”