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11.
Transferring trip rates to areas without local survey data is a common practice which is typically performed in an ad hoc fashion using household-based cross-classification tables. This paper applies a rule-based decision tree method to develop individual-level trip generation models for eight different trip purposes as defined in the US National Household Travel Survey in addition to daily vehicle miles traveled. For each trip purpose, the models are obtained by finding the best fitted statistical distribution to each of the final decision tree clusters while considering the correlation between the trip rates for other trip purposes. The rule-based models are sensitive to changes in demographics. The performance of the models is then tested and validated in a transferability application to the Phoenix Metropolitan Region. These models can be employed in a disaggregate microsimulation framework to generate trips with different purposes at the individual or household level. 相似文献
12.
Taha Hossein Rashidi Joshua Auld Abolfazl Mohammadian 《Transportation Research Part A: Policy and Practice》2012,46(7):1097-1107
Residential location search has become an important topic to both practitioners and researchers as more detailed and disaggregate land-use and transportation demand models are developed which require information on individual household location decisions. The housing search process starts with an alternative formation and screening stage. At this level households evaluate all potential alternatives based on their lifestyle, preferences, and utilities to form a manageable choice set with a limited number of plausible alternatives. Then the final residential location is selected among these alternatives. This two-stage decision making process can be used for both aggregate zone-level selection as well as searching disaggregate parcel or building-based housing markets for potential dwellings. In this paper a zonal level household housing search model is developed. Initially, a household specific choice set is drawn from the entire possible alternatives in the area based on the average household work distance to each alternative. Following the choice set formation step, a discrete choice model is utilized for modeling the final residential zone selection of the household. A hazard-based model is used for the choice set formation module while the final choice selection is modeled using a multinomial logit formulation with a deterministic sample correction factor. The approach presented in the paper provides a remedy for the large choice set problem typically faced in housing search models. 相似文献
13.
This paper presents a system of hierarchical rule-based models of trip generation and modal split. Travel attributes, like
trip counts for different transportation modes and commute distance, are among the modeled variables. The proposed framework
could be considered as an alternative for several modules of the traditional travel demand modeling approach, while providing
travel attributes at the highly disaggregate level that can be also used in activity-based micro-simulation modeling systems.
Nonetheless, the modeling framework of this study is not considered as a substitute for activity-based models. The explanatory
variables set ranges from socio-economic and demographic attributes of the household to the built environment characteristics
of the household residential location. Another important contribution of the study is a framework in which travel attributes
are modeled in conjunction with each other and the interdependencies among them are postulated through a hierarchical system
of models. All the models are developed using rule-based decision tree method. Moreover, the models developed in this study
present a useful improvement in increasing the practicality and accuracy of the rule-based travel data simulation models. 相似文献
14.
This paper introduces a vehicle transaction timing model which is conditional on household residential and job relocation
timings. Further, the household residential location and members’ job relocation timing decisions are jointly estimated. Some
researchers have modeled the household vehicle ownership decision jointly with other household decisions like vehicle type
choice or VMT; however, these models were basically static and changes in household taste over time has been ignored in nearly
all of these models. The proposed model is a dynamic joint model in which the effects of land-use, economy and disaggregate
travel activity attributes on the major household decisions; residential location and members’ job relocation timing decisions
for wife and husband of the household, are estimated. Each of these models is estimated using both the Weibull and log-logistic
baseline hazard functions to assess the usefulness of a non-monotonic rather than monotonic baseline hazard function. The
last three waves of the Puget Sound Panel Survey data and land-use, transportation, and built environment variables from the
Seattle Metropolitan Area are used in this study as these waves include useful explanatory variables like household tenure
that were not included in the previous waves. 相似文献