In this paper, time choice models to and from work are developed using panel data collected during a three-year period after the introduction of a flextime system in a company. Interesting facts ...revealed: (1) the habitual effect of arrival time to work continues after the new system is implemented, but decreases over time, (2) household structure does not have a great effect on arrival and departure times to and from work, and (3) interdependence between the two times to and from work are significant. In light of these conditions, it is believed that the times to and from work are decided simultaneously, hence a simultaneous choice model is formulated and estimated based on the same data. The interdependence between these two times is significantly confirmed in the model.
In the analysis of choice behavior problem, uncertainty can be divided into two different types: randomness and vagueness. Random utility model and fuzzy inference model have been widely used to ...consider the randomness and the vagueness, respectively. Despite the necessity of simultaneously considering both uncertainties in choice behavior analysis, few literatures have tried to combine the two types of choice behavior models. Therefore, the aim of this paper is to suggest a model combining the randomness and the vagueness in the context of driver’s route choice behavior under traffic information. To estimate the combined model, a sequential method is suggested as follows: First, a latent class multinomial logit model (LCML) is developed to consider the randomness of route choice behaviors and to analyze the heterogeneity among drivers. Second, a fuzzy inference model is developed to consider the vagueness. Finally, the combined model is established by combining the estimation results of the LCML and the fuzzy inference models. The empirical results in this paper show that the combined model can contribute to enhance the explanatory power of the LCML model by effectively incorporating the randomness and the vagueness uncertainty in the choice behavior model.
This paper aims to develop a GIS-aid planning system for public transportation in depopulated rural areas. The proposed system consists of travel demand forecasting system that evaluates the ...profitability of transportation planning alternatives, and evaluation system for non-monetary indices (i. e., Quality of Life, Customer Satisfaction and Equality). Travel frequency is estimated by using a discrete-continuous model, which is based on a non-compensatory utility function to represent conjunctive choice strategies. QOL and CS indices are calculated using an ordered probit model. Empirical analysis indicates that the proposed system is useful to evaluate the effects of improving levels of public transportation services and can consequently contdbute to develop public transportation plans efficiently.
Analysis of Seamless Transit Services in Rural Areas MORIYAMA, Masayuki; FUJIWARA, Akimasa; ZHANG, Junyi ...
Doboku keikakugaku kenkyuu, rombunshuu/Doboku keikakugaku kenkyū, ronbunshū,
2005, Letnik:
22
Journal Article
Odprti dostop
This paper attempts to clarify better combinations of a new local bus system (i. e., DRT: Demand Responsive Transport) and existing regional buses at a bus terminal in order to provide convenient ...transfers between them in depopulated rural areas, where local buses are more frequent than regional ones. Especially, the paper focuses on how the elderly people's preferences of bus use are influenced by terminal environments, waiting time at the terminal and other level-of-service factors. For that purpose, bus use two SP models of bus use are developed to analyze the influences of seamless transfers at the terminal on the preferences of using both local and regional bus services. Furthermore, the required facilities and services when waiting at the terminal are also investigated, using the Covariance Structure Analysis method, from the perspective of improving the convenience and amenity
This paper investigates various policies improving transport and everyday services for the aged in depopulated communities. A questionnaire survey is carried out for all citizens in a community where ...the aged ratio is 56.8%. A QOL indicator is proposed to evaluate transportation and the other everyday services for elderly people in the depopulated area. A cause and effect relationship among each policy is obtained by application of co-variance structure analysis. Moreover, a tradeoff between transportation service and other everyday services is analyzed using conjoint analysis.
This paper attempts to clarify the role of uncertainty by building a scheduling behavior model for air business trips. The two variables used to express the uncertainty are “subjective probability ...for flight delays”, and “safety margin” at both the airport and destination. The mixed logit model was used, which can incorporate both heterogeniety among individuals as well as hogeniety among choices. The following findings were obtained from the results of model.: 1. subjective probabilities concerning flight delays and safety margin can express individual recognition of delays, 2. mixed logit model is effective in explaining air travel scheduling behavior.
This paper aims to evaluate traffic calming roads which have been completed since 1983 in Hiroshima through the public attitude survey and to obtain necessary information for their zonal development. ...Consequently, the roads are favored by the majority of surrounding residents, but they do not always desire the new roads cross to their houses. The reason seems to be that they are not well aware of current traffic situation of their neighborhood roads. The problem is how to make them understand the significance of traffic calming for further development of new roads.
This paper focuses on boarding records of prepaid card system that is introducedin public transport in many Japanese cities. Applicability of the data to urban transportation planning is examined in ...several aspects. As a result of these analyses, it is suggested that the data of prepaid card system have applicability for urban transportation planning. As an example of the application of the data, it is shown that the demand elasticity to the service level of public transportation is different between frequent user group and less frequent ones.
We argue that context dependence (CD) affects the temporal change of SP data. To reflect this, we propose a new mode choice (r-RP/SP) model based on relative utility function, which consists of the ...term of alternative similarity and the term of other context-dependent factors like previous choice results. Throughout an empirical analysis, it is confirmed that, (1) the way of using relative utility to incorporate the influence of the CD is effective, (2) the parameters of relative importance (RI) are variant temporally and affected by the CD, (3) as the number of explanatory variables increases, the parameters of RI fluctuate largely among individuals and over time.
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