6th Conference of the Eastern-Asia-Society-for-Transportation-Studies, Bangkok, Tayland, 21 - 24 Eylül 2005, cilt.5, ss.2463-2469
Using person-trip survey data collected in eleven developing cities throughout the world, a comparative study is conducted in a comparative manner by elucidating the neighborhood characteristics compiled from the person trip data sets. To do so, data mining strategy is adopted to identify three different neighborhood types, namely, compact, trans it-oriented and suburban neighborhoods. To all of the cities, we apply a generic choice model to reveal the underlying factors of modal uses. The study is concluded with a discussion on the inferences as estimation results.