Abstract
Estimation of the Intrazonal Travel Time of Different Modes for the Home-Based School Trips Using Regression Model
Highlights
Sometimes, data related to the features of travel distribution patterns and street network are not accessible to explicate the trips in cities
The results show that the population density of the traffic analysis zones (TAZ) has the highest effect on the intrazonal travel time of walking mode
The number of links in the network has the highest influence on the intrazonal travel time of the public transport, and this factor for all trip modes together is the population of the TAZ
Summary
Data related to the features of travel distribution patterns and street network are not accessible to explicate the trips in cities. Kordi et al (2012) by scattering the origins and destinations of the flows within their zones developed a new approach to estimate the average trip distance This method gave a better model fit with smaller errors. In a study by Plaza and Silva (2015), it is found that the average intrazonal trip distance has the high correlation with area and perimeter of the zone. None of these studies focuses on the particular factor for each mode. Finding the related factor related to the intrazonal travel time when all trip modes including walking, public transport, private vehicle, and subscription bus are considered
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