Titheridge, H;
Liu, C-P;
(2016)
Applying a Multilevel MNL Model to Analyse the Land Use Influence on Mode Choice Behaviour in Taiwan.
In:
Proceedings of the 95th TRB Annual Meeting.
TRB: Washington DC, USA.
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Abstract
This study introduced a multilevel MNL model to explore the unobserved spatial heterogeneity 3 and the impact of land use and public transport provision at district and city/county levels on 4 mode choice between car, motorbike and public transport in Taiwan. The study found that the 5 unobserved spatial heterogeneity does exert significant effects on mode choice behaviour. In 6 addition, by comparing the results from a single-level MNL model and the multilevel MNL 7 model, it was shown that the multilevel MNL model has a better fit but also provides evidence 8 that neglecting the spatial autocorrelation and spatial heterogeneity could create misleading 9 results. This study also found that, in Taiwan, higher population density at the district and 10 city/county levels is associated with a higher probability of choosing public transport over the 11 car and motorbike. However, more diversified land uses and more grid-like street patterns are 12 associated with a higher probability of motorbike use. These results may contribute to planning 13 motorbike management strategies, amongst others, for Southeast Asian countries.
Type: | Proceedings paper |
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Title: | Applying a Multilevel MNL Model to Analyse the Land Use Influence on Mode Choice Behaviour in Taiwan |
Event: | Transportation Research Board (TRB) 95th Annual Meeting, 10-14 January 2016, Washington DC |
Location: | Washington DC, USA |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.trb.org/Main/Blurbs/173817.aspx |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | land use, multilevel modelling, MNL model, spatial heterogeneity, spatial 17 dependency, mode choice behaviour |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10039128 |
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