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

Abstract

Among the studies on the land use – travel relationship, few investigated it regarding weekend travel and destination choice. This study accordingly evaluates how the land use - destination choice relationship differs between weekdays and weekends using two multinomial logistic regression models in which the destination is classified into three types: microzone inside, microzone outside - macrozone inside, and macrozone outside. Major findings are that the choice of automobile alternatives for travel and their ownership are associated with the choice of the microzone inside while employment and income contribute to external trips. Among land use variables, nighttime population density turns out to be the only land use variable that consistently increases internal trips in all cases, regardless of the zone size and weekday - weekend difference, whereas daytime population density does not become significant in any case. Also, land use entropy and street connectivity are found to discourage a trip that moves from the microzone to the macrozone and transit system variables to facilitate a trip that goes beyond the microzone. Particularly, between two types of transit system variables, the choice of the microzone is likely to be associated with low bus stop density on weekdays and low metro station density on weekends.

Travel mode choice as a representation of travel utility: A multilevel approach reflecting the hierarchical structure of trip, individual, and neighborhood characteristics

“…Seoul citizens were more likely to choose cars for weekend travels. It seemed to be related to the importance of punctuality for commute travels during weekdays (Bhat & Srinvasan, 2005; Gim, 2020). The trip duration tended to affect the perception of trips and influences the travel mode choice (Humagain & Singleton, 2021; Ye et al, 2020); however, in this study, the effects of trip duration was not observed because of expressed travel utility that may affect travel satisfaction was controlled.…”

“…Most studies regard trip characteristics (e.g., Gim, 2020; Humagain & Singleton, 2021; Milakis et al, 2015), socio‐economic characteristics (e.g., Ferrer et al, 2018; Ha et al, 2020; Limtanakool et al, 2006), and built environment (e.g., Handy et al, 2002; Khan et al, 2014; Ye & Titheridge, 2017) as control variables to investigate the relationship between travel utility and travel mode choice. Although these variables constitute different hierarchical levels and different scales, most studies consider them as the same hierarchical level and analyze them.…”

A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant

“…In Hanoi, Vietnam, Nguyen et al [31] used a logit model for destination choice and an ordered probit model for trip generation with socio-demographic, mobility and accessibility and built environment factors. Gim [32] used multinomial logistic regression models to analyze the relationship between land use and destination choice separately for weekday and weekend travel with land use variables, trip characteristics and individual and household socio-demographics. However, these studies focused on personal trips and trip purpose, which could not be addressed in this study.…”