摘要 :
Household travel surveys from three regions of Florida (Jacksonville, Tampa, and Miami areas) were examined to understand patterns in travel behavior. Tours were constructed and characterized in terms of purpose, travel party comp...
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Household travel surveys from three regions of Florida (Jacksonville, Tampa, and Miami areas) were examined to understand patterns in travel behavior. Tours were constructed and characterized in terms of purpose, travel party composition, complexity, and flexibility. The empirical findings underscore the need for travel-demand models that incorporate trip-chaining and intra-household interactions. A framework for modeling tour generation was also developed. This comprises a suite of four models applied sequentially. These models were estimated for each of the three regions (a total of 12 multinomial logit models in all). This study also examined the transferability of tour-generation models among three metropolitan regions in Florida. Naive transfer methods are examined to assess the performance of the transferred models (from two other regions) to that of the locally-estimated model. Transferability is evaluated using multiple measures such as aggregate- and disaggregate predictive ability and the aggregate elasticities to specific socio-economic factors. Overall, while it might be acceptable to use a similar modeling framework, caution must be exercised in borrowing parameters from one area for use in another region. The current study can be significantly extended using the recent Florida add-on samples to the NHTS to guide the efforts to build a standardized activity-based modeling system for Florida.
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This report provides a comprehensive review of previous research on childrens activity engagement and travel by focusing on the dimensions characterizing childrens activity-travel patterns and the factors affecting these dimension...
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This report provides a comprehensive review of previous research on childrens activity engagement and travel by focusing on the dimensions characterizing childrens activity-travel patterns and the factors affecting these dimensions. In addition, an empirical analysis is undertaken of the post-school out-ofhome activity-location engagement patterns of children aged 5 to 17 years. Specifically, this research effort utilizes a multinomial logit model to analyze childrens post-school location patterns, and employs a multiple discrete-continuous extreme value (MDCEV) model to study the propensity of children to participate in, and allocate time to, multiple activity episode purpose-location types during the afterschool period. Finally, the paper identifies the need and opportunities for further research in the field of childrens travel behavior analysis.
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If the anecdotal evidence is to be believed, Americans are driving more than ever - and not just for commute trips. Americans don't seem entirely happy about this trend, at least some of this increase in driving appears to be a ma...
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If the anecdotal evidence is to be believed, Americans are driving more than ever - and not just for commute trips. Americans don't seem entirely happy about this trend, at least some of this increase in driving appears to be a matter of choice rather than necessity. Either way, the trend has important social, economic, and environmental implications. An understanding of the forces behind this trend might lead to policy responses that reduce how much households drive - or at least how much they have to drive. This report presents a preliminary effort to understand the apparent increase in nonwork vehicle-miles-traveled (VMT) at the household level. The first step was to review available data on travel trends to confirm that non-work VMT is in fact increasing. While available data sources provide convincing evidence of this trend, they are far from conclusive. The second step was to explore factors associated with households themselves - the demand side - and with the choices available to households - the supply side. This exploration included an assessment of the trend in each factor and the development of hypotheses about its effect on non-work travel. The final step in this preliminary study was to summarize the findings from existing models of non-work travel behavior on what variables significantly impact non-work travel and in what direction. The report concludes with a discussion of what questions remain and what research approaches may prove fruitful in answering them.
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In the Norwegian Travel Survey 2009, about 29 000 people from 13 years have been interviewed. The survey provides information on travel frequency, trip purposes and travel mode, and on how travel behaviour varies with age, gender,...
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In the Norwegian Travel Survey 2009, about 29 000 people from 13 years have been interviewed. The survey provides information on travel frequency, trip purposes and travel mode, and on how travel behaviour varies with age, gender, income, place of residence etc. In 2009 the average citizen made 3.3 trips per day. Most trips are short, 42 per cent being shorter than three kilometres. The car is used on 63 per cent of the daily trips, either as driver, 52 per cent, or as a passenger, 11 per cent. 4 per cent are made by bicycle and 22 per cent on foot, while 10 per cent are carried out by public transport. During a month, 53 per cent of the population makes one or more long distance journeys (trips of 100 km or longer one-way and trips abroad). Within Norway 68 per cent of these trips are made by car, while 15 per cent are made by plane. Sammendrag:
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This study aimed to produce a detailed analysis of travel behavior over time for both the Minneapolis-St. Paul region as a whole and for specific areas within this region. This analysis would include an evaluation of the effects o...
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This study aimed to produce a detailed analysis of travel behavior over time for both the Minneapolis-St. Paul region as a whole and for specific areas within this region. This analysis would include an evaluation of the effects of previous infrastructure investments and land use changes, and would provide details about travel behavior changes by mode: auto, transit, walking and biking. These insights would be used to inform transportation engineers, planners, economists, analysts and decision-makers about the effects of future infrastructure and other changes on travel networks.
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Using detailed travel surveys (the Travel Behavior Inventory) conducted by the Metropolitan Council of the Minneapolis/Saint Paul (Twin Cities) Region in Minnesota for 1990, 2000-2001, and 2010-2011, this report conducts an anal...
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Using detailed travel surveys (the Travel Behavior Inventory) conducted by the Metropolitan Council of the Minneapolis/Saint Paul (Twin Cities) Region in Minnesota for 1990, 2000-2001, and 2010-2011, this report conducts an analysis of changes in travel behavior over time. Specifically looking at changes in travel duration, time, use, and accessibility; telecommuting and its relationship with travel and residential choices; transit service quality and transit use; effects of age and cohort; and changes in walking and bicycling.
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Partial Contents: Modeling Timing and Duration of Activities and Trips in Response to Road-Pricing Policies, Numerical Analysis of Effect of Sampling of Alternatives in Discrete Choice Models, Merlin: Microsimulation System for Pr...
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Partial Contents: Modeling Timing and Duration of Activities and Trips in Response to Road-Pricing Policies, Numerical Analysis of Effect of Sampling of Alternatives in Discrete Choice Models, Merlin: Microsimulation System for Predicting Leisure Activity-Travel Patterns, Modeling Impact of Emerging Uncertain Time-Dependent Aggregate Activity-Travel Patterns on Individual Activity Participation and Timing Decisions, Daily Stop-Making Model for Workers, Hybrid Discrete Choice Departure-Time and Duration Model for Scheduling Travel Tours, Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns.
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The report describes the extent and structure of long distance journeys (100 km or more) within Norway and journeys between Norway and abroad. The results show that 42 percent of the population aged 13 and above undertake at least...
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The report describes the extent and structure of long distance journeys (100 km or more) within Norway and journeys between Norway and abroad. The results show that 42 percent of the population aged 13 and above undertake at least one long distance journey within Norway each month. The corresponding proportion for foreign journeys is 11 percent. About three-quarters of all long distance journeys are for private purposes. The car remains that means of transport chosen by the majority but the plane has captured a large market share of journeys exceeding 300 km since the last travel survey in 1992.
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摘要 :
;Partial Contents: Alternative Measure of Household Structure and Stage in Life Cycle for Transport Modeling; Order Effects in Stated-Choice Experiments: Study of Transport Mode Choice Decisions; Applying Branch-and-Bound Techniqu...
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;Partial Contents: Alternative Measure of Household Structure and Stage in Life Cycle for Transport Modeling; Order Effects in Stated-Choice Experiments: Study of Transport Mode Choice Decisions; Applying Branch-and-Bound Technique to Route Choice Set Generation; Modeling Stated and Revealed Route Choice: Consideration of Consistency, Diversion, and Attitudinal Variables; Users of Transport Modes and Multimodal Travel Behavior: Steps Toward Understanding Travelers' Options and Choices; Estimation of Trip Generation in Mexico City, Mexico, with Spatial Effects and Urban Densities; Working Retirement: Travel Trends of the Aging Workforce; Impact of Life-Course Events on Car Ownership.
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