Mode choice analysis with imprecise location information |
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Authors: | Toshiyuki Yamamoto Ryosuke Komori |
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Institution: | (1) Department of Civil Engineering, Nagoya University, C1-3(651) Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan;(2) Tohoku Defense Bureau, Ministry of Defense, No. 3 Sendai Joint Government Bldg., 1-3-15 Gorin, Miyagino-ku, Sendai 983-0842, Japan |
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Abstract: | Several large-scale person trip surveys include the information of the origin and destination of the trip only at the TAZ
(traffic analysis zone) level, so the accuracy of location information is not enough to examine the effect of access and egress
conditions on mode choice. Two approaches are applied in this study to complement the imprecise information; one for access
to public transit from home, and the other for egress from public transit to destination. Home-based trip data with the destinations
as university, governmental office, and hospitals are used in this study. About the information of the egress, the precise
location of the destination are identified within TAZ from GIS database using the purpose of the trip and the type of the
destination reported by the respondent, and the distance from the nearest train station and bus stop are calculated. About
the access to the public transit form home, the distance from home to the public transit is treated as a probabilistic variable
in estimating the mode choice model in this study. The model has the same structure as the latent class model. Census data
which contain the population distribution within TAZ at city block level is used for the distribution of origin. The results
of empirical analysis show that the proposed model has a better log-likelihood at convergence than those with TAZ centroids
as the ends of the trip. The results suggest that the proposed model has the same effect as obtaining the precise location
information, and that it enables to better represent mode choice behavior than using TAZ centroid. The results also suggest
that imprecise location information provides smaller coefficient estimates for the effect of access and egress conditions,
resulting the underestimate on the elasticity of the access and egress conditions for promoting public transit. |
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