Two new papers on para-transit in Asian cities
Two papers on para-transit in Asian cities (We newly call it “LAMAT – Locally Adopted and Modified Advancecd Transport”) have been published in Journal of EASTS (Eastern Asia Society for Transportation Studies):
- By Hong Tan VAN, Daisuke FUKUDA
- Journal of the Eastern Asia Society for Transportation Studies, Volume 12 (2017) 2284-2298, Released: April 25, 2018
- doi={https://doi.org/10.11175/easts.12.2284}
- https://www.jstage.jst.go.jp/article/easts/12/0/12_2284/_article/-char/en
- This paper discusses the determinants of the intention to shift to a new high-quality Locally Adapted, Modified, and Advanced Transport (LAMAT) bus service in Ho Chi Minh City using a stated preference (SP) survey. Mixed logit models (MXL) are used to estimate the mode choice between motorcycles (MCs) and LAMAT in the SP choices. The use of a panel-MXL is shown to significantly improve the estimation results compared with the standard multinomial logit model. Accordingly, heterogeneity in the LAMAT choice is largely explained by citizens’ unobserved characteristics, whereas their preference for time and money might be homogenous. Additionally, four mode-specific factors, i.e., provision of information, air conditioning, seat availability (LAMAT), and the risk of traffic accidents (MCs) are found to be significant determinants of the intention to use the LAMAT bus service.
- By Daisuke FUKUDA, Hana KOBAYASHI, Wataru NAKANISHI, Yoshiki SUGA, Kerkritt SRIROONGVIKRAI, Kasem CHOOCHARUKUL
- Journal of the Eastern Asia Society for Transportation Studies, Volume 12 (2017) 2151-2169, Released: April 25, 2018
- DOI https://doi.org/10.11175/easts.12.2151
- https://www.jstage.jst.go.jp/article/easts/12/0/12_2151/_article/-char/en
- The objective of this study is to investigate the applicability of Wi-Fi monitoring technology to the estimation of the boarding and alighting locations of paratransit passengers via a small-scale field test that was conducted in Krabi City, Thailand. From the results, we determined that: (1) with use of appropriate data cleaning procedures, many of the noisy data could be eliminated to a reasonable degree; (2) it would be reasonable to ignore Wi-Fi data for which the moving distances are too short, and regard them as outliers or irrelevant records; (3) when the proposed matching methods are used with the ground truth data, suitable numbers of the Wi-Fi data are well matched.
