• Title, Summary, Keyword: Mode Choice Model

Search Result 137, Processing Time 0.14 seconds

Application and Evaluation of An Attitudinal Model for Travel Mode Choice Behavior Analysis (교통수단 선택행태 분석을 위한 태도모형의 적용 및 평가)

  • 신동호
    • Journal of Korean Society of Transportation
    • /
    • v.11 no.2
    • /
    • pp.5-26
    • /
    • 1993
  • In order to analyze travel mode choice behavior, behavioral models including logit model, based on revealed preference theory, have been using easily measurable variables such as individual socioeconomic characteristics and physical attributes of travel modes. But some recent attitudinal models of travel choice behavior have implied that the negligence of individual psychological variables and individual choice constraints in travel mode choice might preclude better prediction of individual travel mode choice behavior. In this context, this study was attempted to reconstruct an attitudinal model(AM), especially focused on the decision rules in travel mode choice decision making process, consistent with the conceptual framework relating individual attitude and choice constraints to choice behavior. And to evaluate the strengths of the AM to other comparative models(logit, linear-additive, conjunctive, lexicographic model) in predicting travel mode choice bebavior, an empirical study of the mode choice in work-trip to CBD in Seoul was performed. According to the results the percent of correct prediction(PCP) derived from the AM was higher than those derived from comparative models by at least 7 to 20% in predicting travel mode choice. But each model produced a different prediction accuracy depending on market segmentation by travel modal users, individual socioeconomic characteristics, transportation system characteristics, and satisfaction levels. The finding that different groups divided by a certain criterion employ different decision rules supports the necessity of developing a choice model such as the AM combining compensatory and noncompensatory decision rules, and suggests that a proposed transportation system management plan or policy may have different effects on each group.

  • PDF

The Characteristics of Mode Choice Model by Stated Preference Data (선호의식데이타에 의한 교통수단선택 모델의 특성)

  • 이진우
    • Journal of Korean Society of Transportation
    • /
    • v.13 no.4
    • /
    • pp.31-45
    • /
    • 1995
  • In recent year, especially in the mode choice analysis, it has been perceived that the importance of individual performance data using stated preference(SP) experiments as well as revealed preference data . Since SP experiments present respondent with various hypothetical alternatives, which are produced by a combination of a number of different attribute levels, and ask them to indicate a preference, it is possible to analyze travel behavior under a situation of potential environment change such as proposed alternative mode of transportation. The basic problems, however, remains that SP are not consistent with the actual travel behaviors and the research reports for stability of mode choice model using SP data has not been sufficient. Under this background, this study is to examine the characteristics of mode choice model using the SP data by the following items. $\circled1$ Analysis of factors affecting the mode choice behavior by the variance analysis of orthogonal-arrays-table $\circled2$ The reliability of SP data by transfer intention data $\circled3$ The stability of SP responses obtained from repetitive question by the comparison of model coefficient specified by each repetitive data. $\circled4$ The stability of ranking data in mode choice model For the analysis, we assumed subway operations in the Gwang-Ju , and set up a choice-set of hypothetical options based on Experimental Design Method.

  • PDF

Modeling of the Route Choice Behavior (노선선택행태의 모형화)

  • 이인원;차재혁
    • Journal of Korean Society of Transportation
    • /
    • v.7 no.1
    • /
    • pp.35-42
    • /
    • 1989
  • The multinomial logit model has been applied for various choice problems. Among others, the joint destination mode choice, the mode choice and the route choice are the three major modeling topics for korean transportation planners. This paper examines with real world data (the Olympic road and its competing two major arterials) the usefulness of a Logit route choice model. Quites surpisingly, it is found that the multinomial route choice behavioral model calibrated for this study based on (0,1) individula data base can not provide a good estimate for O-D trips less than 6㎞. 400data points and 3case studies might not be sufficient for a sound conclusion. It is, however, believed from a series of similar studies conducted by the authors that the route choice behavior is more sensitive (more demand elastic with respect to travel time changes) than the mode choice and the shorter trip, the more sensitive. The travel time parameters for destination choice models are usually smalle than the travel time parameters for mode choice models and these parameters (for mode choice models) turn our smaller than the travel time parameters for route choice models from this study. Table 2 in this paper shows parameter changes for three different markets and Table 3 shows the modeling errors when the estimated individual probabilities are aggregated into a route level.

  • PDF

A Performance Comparison of the Partial Linearization Algorithm for the Multi-Mode Variable Demand Traffic Assignment Problem (다수단 가변수요 통행배정문제를 위한 부분선형화 알고리즘의 성능비교)

  • Park, Taehyung;Lee, Sangkeon
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.39 no.4
    • /
    • pp.253-259
    • /
    • 2013
  • Investment scenarios in the transportation network design problem usually contain installation or expansion of multi-mode transportation links. When one applies the mode choice analysis and traffic assignment sequentially for each investment scenario, it is possible that the travel impedance used in the mode choice analysis is different from the user equilibrium cost of the traffic assignment step. Therefore, to estimate the travel impedance and mode choice accurately, one needs to develop a combined model for the mode choice and traffic assignment. In this paper, we derive the inverse demand and the excess demand functions for the multi-mode multinomial logit mode choice function and develop a combined model for the multi-mode variable demand traffic assignment problem. Using data from the regional O/D and network data provided by the KTDB, we compared the performance of the partial linearization algorithm with the Frank-Wolfe algorithm applied to the excess demand model and with the sequential heuristic procedures.

Integrated Trip Distribution/Mode Choice Model and Sensitivity Analysis (통행분포/수단선택 통합모형 및 민감도분석)

  • Im, Yong-Taek
    • Journal of Korean Society of Transportation
    • /
    • v.29 no.2
    • /
    • pp.81-89
    • /
    • 2011
  • Trip distribution is the second step of the conventional travel demand estimation process, which connects trips between origin and destination, while transport mode choice is the third step of the process, which chooses transport mode among several modes serving for each origin-destination pair. Although these two steps have closely connected, they have been estimated independently each other in the estimation procedure. This paper presents an integrated model combining trip distribution and transport mode choice, and also presents its solution algorithm. The model integrates gravity model adopted for the trip distribution process with logit model employed for the mode choice process. The model would be expected to cope with the inconsistency issue existing in the conventional travel demand estimation procedure. This paper also presents an equilibrium condition, sensitivity of the model, and compares them with those of existing models.

A Combined Model of Trip Distribution, Mode Choice and Traffic Assignment (교통분포, 수단선택 및 교통할당의 결합모형)

  • Park, Tae-Hyung
    • IE interfaces
    • /
    • v.15 no.4
    • /
    • pp.474-482
    • /
    • 2002
  • In this paper, we propose a parametric optimization approach to simultaneously determining trip distribution, mode choice, and user-equilibrium assignment. In our model, mode choice decisions are based on a binomial logit model and passenger and cargo demands are divided into appropriate mode according to the user equilibrium minimum travel time. Underlying network consists of road and rail networks combined and mode choice available is auto, bus, truck, passenger rail, and cargo rail. We provide an equivalent convex optimization problem formulation and efficient algorithm for solving this problem. The proposed algorithm was applied to a large scale network examples derived from the National Intermodal Transportation Plan (2000-2019).

Combined RP/SP Model with Latent Variables (잠재변수를 이용한 RP/SP 결합모형에 관한 연구)

  • Kim, Jin-Hui;Jeong, Jin-Hyeok;Son, Gi-Min
    • Journal of Korean Society of Transportation
    • /
    • v.28 no.4
    • /
    • pp.119-128
    • /
    • 2010
  • Mode choice behavior is associated with travelers' latent behavior that is an unobservable preference to travel behavior or mode characteristics. This paper specifically addresses the problem of unobservable factors, that is latent behavior, in mode choice models. Consideration of latent behavior in mode choice models reduces the errors that come from unobservable factors. In this study, the authors defined the latent variables that mean a quantitative latent behavior factors, and developed the combined RP/SP model with latent variables using the mode choice behavior survey data. The data has traveler's revealed preference of existent modes along the Han River and stated preference of new water transit on the Han River. Also, The data has travelers' latent behavior. Latent variables were defined by factor analysis using the latent behaviour data. In conclusion, it is significant that the relationship between traveler's latent behavior and mode choice behavior. In addition, the goodness-of-fit of the mode choice models with latent variables are better than the model without latent variables.

Estimating Probability of Mode Choice at Regional Level by Considering Spatial Association of Departure Place (출발지 공간 연관성을 고려한 지역별 수단선택확률 추정 연구)

  • Eom, Jin-Ki;Park, Man-Sik;Heo, Tae-Young
    • Journal of the Korean Society for Railway
    • /
    • v.12 no.5
    • /
    • pp.656-662
    • /
    • 2009
  • In general, the analysis of travelers' mode choice behavior is accomplished by developing the utility functions which reflect individual's preference of mode choice according to their demographic and travel characteristics. In this paper, we propose a methodology that takes the spatial effects of individuals' departure locations into account in the mode choice model. The statistical models considered here are spatial logistic regression model and conditional autoregressive model taking a spatial association parameter into account. We employed the Bayesian approach in order to obtain more reliable parameter estimates. The proposed methodology allows us to estimate mode shares by departure places even though the survey does not cover all areas.

Application of Random Regret Minimization Model in the Context of Intercity Travel Mode Choice (지역간 수단선택에 있어서 확률적 후회 최소화 모형의 적용 연구)

  • Jin, Woo-Jeong;Lee, Jang-Ho
    • Journal of the Korean Society for Railway
    • /
    • v.19 no.1
    • /
    • pp.87-96
    • /
    • 2016
  • The multinomial logit model, based on random utility maximization (RUM) theory, has been the predominant model used in travel mode choice contexts. In this paper, the travel mode choice model based on random regret minimization (RRM) theory is proposed as an alternative to the RUM model, and the applicability of the RRM model is examined. The presented model is applied to the case of inter-city travel mode choice in Korea. The empirical results show that the RUM model and RRM model have parameters that are consistent with the intuition. The goodness of fit statistics in the RRM model improved compared with the results of the RUM model. Consequently, these results show the possibility of using the RRM model in the context of travel mode choice.

A Study on a Potential Modal Shift of Workers Commuting to Old Industrial Complexes (노후산업단지 출근 통행 모형 분석을 통한 수단 전이 잠재성에 관한 연구)

  • Ko, Jakyung;Lee, Yuhwa;Ryu, Jieun
    • International Journal of Highway Engineering
    • /
    • v.20 no.6
    • /
    • pp.211-220
    • /
    • 2018
  • PURPOSES : The purpose of this study is to examine public transport service indexes to deal with traffic congestion problems that occur in old industrial complexes during peak hours in an attempt to shift personal car-oriented transportation to public transit-oriented transportation. METHODS : We developed several models to evaluate the effect of public transport service indexes on worke's mode choice using two primary parameters: overall bus service frequency in old industrial complexes and accessibility to bus stops. Ten old industrial complexes were selected to conduct the survey of workers'commuting patterns. From the survey, personal and travel time attributes were collected and used to estimate a binary logistic model with public transport service parameters. RESULTS : As a result, the mode choice model including the overall bus service frequency variable, better explains than other models indicating providing more frequent bus services to workers in the old industrial complexes can attract them to shift their travel mode to bus transit from personal car. Results can be applied to corresponding city's bus transit service policy decisions. CONCLUSIONS :In this study, it was possible to estimate the variation of mode choice ratio according to the change of the public transport index, and the mode choice variation by each individual industrial complex can be expected to examine in the further study.