Intrazonal or interzonal? Improving intrazonal travel forecast in a four-step travel demand model

Refining trip starting and ending locations when estimating travel-demand at large urban scale

“…Despite integrating a large number of purposes (11 purposes in our case), much than in the classical application of FSM (McNally, M.G., 2007, Wang et al, 2013, Apronti and Ksaibati, 2018, Park et al, 2019, our framework could still be improved by refining some purpose processing. As we rely on buildings to determine purposes, outside green areas do not appear as potential locations for trips' terminations.…”

“…However, as associating a purpose to each person's trips is a cumbersome task, and as activities chains are challenging to represent (because of the statistical under-representation of many purposes in the public surveys), studies often factor the data into a limited number of significant purposes. Thus, if Ghadiri et al (2019) used five Home-Based purposes (Work, Education, Recreation, Shopping, and Personal business) when estimating travel demand for the city of Khoy, Iran, usually, these purposes are reduced to Home-Based to Work, Home-Based to Other, and Non-Home Based, with only a few variations Kockelman, 2000, 2002;McNally, M.G., 2007, Wang et al, 2013, Apronti and Ksaibati, 2018, Park et al, 2019.…”

“…Another aspect of FSM lies in using TAZs for travel demand estimation (Barton-Aschman Associates et al, 1997;McNally, M.G., 2007;Martínez et al, 2009Martínez et al, , 2010Jeon et al, 2012;Park et al, 2019). In FSM, TAZs are often reduced to a centroid, used as an injection point for vehicles (Horowitz, 2001;Qian and Zhang, 2012;Hagen-Zanker and Jin, 2015).…”

“…Their study, based on the comparison between different TAZ sizes, showed that misrepresentation of intrazonal trips significantly impacts network speed, volume, and congestion levels. Park et al, (2019), highlight that "Intrazonal trips are a minor consideration in the four-step travel demand modeling process, despite the fact that they typically amount to 10% or more of all trips in household travel surveys." In a recent study, Martínez et al (2009) also estimated the level of intrazonal trips.…”

Analysing the Effects of Land Use on the Choice of Intra-Zonal Trip Destinations – A Comparison Between Weekday and Weekend Travel

“…Traditionally, TAZ was used as a unit of analysis for aggregate data studies [e.g. 31,32,46,47]. These studies may provide practical insights for travel demand forecasting [46,47], but they have been consistently found to be less useful for explaining travel behaviour than individual-level analyses such as this particular study [46,48].…”