This study empirically investigates the development of travel demand from 1986 to 2016 at 5-year intervals in the Greater Toronto-Hamilton Area (GTHA), by applying random effects models to a traffic analysis zone (TAZ) level panel dataset. Vehicle kilometres travelled (VKT) and passenger kilometres travelled (PKT) are computed based on actual demand, congestion and equilibrium distances, using road and multi-modal transit networks. The findings show that VKT and PKT have grown in absolute and per trip terms. While average potential travel times by transit have decreased, auto travel times have increased. The majority of travel demand variations between the GTHA TAZs can be explained by population density, transit access, household income, share of households with zero cars and the population share of seniors. Travel demand determinants have been fairly stable over time, but vary significantly across space by degrees of urbanity, especially for VKT. The results emphasize the importance of developing area-specific land-use and transportation policies within a metropolitan region.
|Titel||23rd International Conference of Hong Kong Society for Transportation Studies (HKSTS)|
|Status||Niet gepubliceerd - 8 dec 2018|
|Evenement||23rd International Conference of Hong Kong Society for Transportation Studies (HKSTS) - The Hong Kong Polytechnic University, Hong Kong, Hongkong|
Duur: 8 dec 2018 → 10 dec 2018
|Congres||23rd International Conference of Hong Kong Society for Transportation Studies (HKSTS)|
|Periode||8/12/18 → 10/12/18|