Estimating Value of Travel Time Savings by Using Large-Scale Household Survey Data from Japan

Abstract

Expressways provide road users with reduced travel time and safer driving conditions for a toll. The toll charge has been one of the most important issues in expressway planning. The user's willingness to pay for saving travel time by using an expressway service is one of the most important factors in examining toll charges for expressways. A large Japanese database was used to empirically estimate road users' value of travel time savings (VTTS). The results showed that the estimated VTTS of business travel was nearly equal to or a little lower than the average wage rate in Japan, whereas the estimated VTTS of home-to-workplace and private travels was lower than the estimated VTTS of business travel. VTTS increased with the trip length. The estimated VTTS from 07:00 to 09:59 was higher than during other periods. The estimated VTTS of individuals in their 20s and in their 60s was lower than that of individuals in other age groups. The estimated VTTS of men was a little higher than that of women. The estimated VTTS per vehicle when a person was driving alone was higher than the estimated VTTS per vehicle when a driver has passengers. The estimated VTTS of production and transport workers was lower than the estimated VTTS of people in other jobs. A toll charge should reflect the VTTS of road users, so policy implications for the charge were examined.

Intermodal Connection of High-Speed Rail with Interregional Bus Services in Japan

“…The values of estimated in-vehicle travel time and connection time are 115.4 and 120.6 JPY/min, respectively. Past empirical studies also showed a similar value for travel time, for example, Kato et al (19) showed that the value of travel time for business travelers was 125 JPY/ min, which is estimated from the Interregional Travel Survey 2005; Kato and Onoda (20) showed that the value of travel time was 165.9 JPY/min, which is estimated from the Interregional Travel Survey 2000. This reveals that most of the O-D pairs have longer travel times for rail +bus than for other travel modes, while many O-D pairs have cheaper travel costs for rail-+bus than for other travel modes.…”

Travel preferences of multimodal transport systems in emerging markets: The case of Beijing

“…Access and egress time. It is commonly found that access and egress times by walking are weighed more negatively than IVT in the main stage of a trip (Kato et al, 2011;Arentze and Molin, 2013;Wardman et al, 2016). As seen in Fig.…”

“…VOT for IVT of car is the most studied aspect in travel behavior research. The average VOT across trip purposes in Japan (Kato et al, 2011(Kato et al, ) (data of 2005, the Netherland (Arentze and Molin, 2013) (data of 2012), UK (Department for Transport of UK, 2014) (data of 2010 to 2012), and USA (USDOT, 2015) (data of 2015) are roughly 0.22, 0.19, 0.37, and 0.26 in USD/minute, respectively. In China, the number of studies reporting VOT of car travel is still limited but increasing.…”

Análise do comportamento individual relativo a viagens encadeadas através de variáveis socioeconômicas, participação em atividades e características agregadas das alternativas modais

“…A variável de análise (variável dependente), em geral, é representada pelos padrões de atividades/viagens definidos através de um processo individual de escolha. (ANTONIOU et al, 2007;GOSSEN, 2004;FORINASH;KOPPELMAN, 1993;KATO et al, 2011;MCCAFFERTY;HALL, 1982;MISHRA et al, 2013;PAULSSEN et al, 2014;TIMMERMANS et al, 2002;WANG et al, 2017;YE X et al, 2017) e mais especificamente no estudo de viagens encadeadas (LEE et al, 2017;RUAN et al, 2012;BUEHLER e HAMRE, 2015;LEE et al, 2007) Conforme descrito anteriormente, os modelos Logit são os mais comumente usados para modelar escolhas discretas de viagens baseadas em atividades. Com relação ao modelo Logit Multinomial, há importantes premissas que o caracterizam, como a independência dos termos aleatórios das utilidades, a homogeneidade de resposta entre indivíduos e a homogeneidade da variância dos erros (BHAT; KOPPELMAN, 1999).…”