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121.
Effect of attitudes, habit and affective appraisal on mode choice: an application to university workers 总被引:1,自引:0,他引:1
Traditionally, car use and modal choice, in general, have been studied under the random utility framework, assuming that individuals
choose a particular mode based on their own socio-economic characteristics and the attributes describing the available options.
This approach has originated useful models which have been able to explain modal split. However, at the same time, it has
received critics because of its poor characterization of human behaviour and the weakness of its assumptions. Research has
suggested that socio-psychological factors could help to understand better the choice process. In this paper, attitudinal
theory and its link to human behaviour were used to select attitudes, habit and affective appraisals as explanatory variables.
They were measured using ad-hoc instruments, which were combined with a revealed preference questionnaire, in order to obtain
information about the traveller and the chosen mode. This instrument was applied to a sample extracted from staff members
of the University of Concepcion, Chile. Analyses of attitudinal variables showed that car use habit was positively correlated
to attitude and positive emotions towards car, implying that breaking the vicious circle of car use through persuasive techniques
might be difficult. Estimation of discrete choice models showed that attitudinal variables presented a significant contribution
to modal utility, and helped to improve both fitness and statistical significance. Results showed that choice can be influenced
by factors related to attitudes and affective appraisal, and that their study is necessary in order to achieve an effective
car use reduction.
相似文献
Alejandro TudelaEmail: |
122.
This paper presents a comprehensive econometric modelling framework for daily activity program generation. It is for day-specific
activity program generations of a week-long time span. Activity types considered are 15 generic categories of non-skeletal
and flexible activities. Under the daily time budget and non-negativity of participation rate constraints, the models predict
optimal sets of frequencies of the activities under consideration (given the average duration of each activity type). The
daily time budget considers at-home basic needs and night sleep activities together as a composite activity. The concept of
composite activity ensures the dynamics and continuity of time allocation and activity/travel behaviour by encapsulating altogether
the activity types that are not of our direct interest in travel demand modelling. Workers’ total working hours (skeletal
activity and not a part of the non-skeletal activity time budget) are considered as a variable in the models to accommodate
the scheduling effects inside the generation model of non-skeletal activities. Incorporation of previous day’s total executed
activities as variables introduces day-to-day dynamics into the activity program generation models. The possibility of zero
frequency of any specific activity under consideration is ensured by the Kuhn-Tucker optimality conditions used for formulating
the model structure. Models use the concept of random utility maximization approach to derive activity program set. Estimations
of the empirical models are done using the 2002–2003 CHASE survey data set collected in Toronto.
相似文献
Eric J. MillerEmail: |
123.
This paper analyzes transportation mode choice for short home-based trips using a 1999 activity survey from the Puget Sound
region of Washington State, U.S.A. Short trips are defined as those within the 95th percentile walking distance in the data,
here 1.40 miles (2.25 km). The mean walking distance was 0.4 miles (0.6 km). The mode distribution was automobile (75%), walk
(23%), bicycle (1%), and bus (1%). Walk and bicycle are found less likely as the individual’s age increases. People are more
likely to drive if they can or are accustomed to. People in multi-person families are less likely to walk or use bus, especially
families with children. An environment that attracts people’s interest and provides activity opportunities encourages people
to walk on short trips. Influencing people’s choice of transport mode on short trips should be an important part of efforts
encouraging the use of non-automobile alternatives.
相似文献
Gudmundur F. UlfarssonEmail: |
124.
以个体出行模式作为研究对象,利用出行的 GPS 数据,建立用于个体出行模式识别的 BP神经网络计算模型。并实测了公交和出租2种个体出行模式的识别效果,结果验证了建立的 BP神经网络的有效性和实用性,为出行模式的选择预测提供了新的思路。 相似文献
125.
Travel time variability (i.e., random variations in travel time) leads to a travel time distribution for a repeated trip from a fixed origin to destination (e.g., from home to work). To represent travel time variability, a series of possible travel times per alternative (departure time, route or mode) are often used in stated choice experiments. In the traditional models, the probabilities associated with different travel scenarios (e.g., arriving early, on time and late) shown in the experiments are directly used as weights. However, evidence from psychology suggests that the shown probabilities may be transformed (underweighted or overweighted) by respondents. To account for this transformation of probabilities, this study incorporates perceptual conditioning through a non-linear probability weighting function into a utility maximisation framework, within which the empirical estimate of the value of expected travel time savings is estimated. The key advantage of this framework is that the estimated willingness to pay value can be directly linked to the source of utility (i.e., the probability distribution of travel time), while taking into account the perceptual transformation of probabilities. 相似文献
126.
为了实现大型海洋工程装备在船舶或浮体等运动物表面的稳定、连续、快速行走运动,对船用蠕动式连续拖曳行走装置进行了研究。介绍了在模拟尺蠖蠕动基础上增加了交替拖曳功能的行走装置运动原理,并设计了相应的机械结构及液压驱动系统。对行走装置进行了运动分析,建立了以被拖体运动速度最大为目标,以液压系统流量限制为约束条件的优化数学模型,对行走装置垂向及横向运动时间进行了优化。最后通过某海底管线铺设装备上配置的行走装置样机试验,验证了其运动性能以及各环节运动时间对被拖体运动速度的影响情况。 相似文献
127.
Abstract Motorcycle activity in Asian economies is a significant contributor to carbon dioxide (CO2) emissions, both when moving and when idling at traffic lights. This paper investigates Taiwanese motorcyclists’ behavior of turning off the idling engine while stopping at traffic lights based on the theory of planned behavior (TPB), which recognizes that the achievement of voluntary change behavior can be identified by knowing an individual's attitudes (or behavioral intentions [BIs]) in the context of social norms (SN). A structural equation model system is used to identify candidate causal links between attitudes, SN, BI and behavior related to the idling stop behavior of motorcyclists. A partial least squares (PLS) model is built to correct the covariance matrix, given the relatively small sample size. Results suggest that attitudes, SN and perceived behavioral control, are significant determinants of idling stop BI at red lights. 相似文献
128.
This contribution presents theoretical considerations concerning the connections between life situation, lifestyle, choice
of residential location and travel behaviour, as well as empirical results of structural equation models. The analyses are
based on data resulting from a survey in seven study areas in the region of Cologne. The results indicate that lifestyles
influence mode choice, although slightly, even when life situation is controlled for. The influence of life situation on mode
choice exceeds the influence of lifestyle. The influence that lifestyle, and in part also life situation, has on mode choice
is primarily mediated by specific location attitudes and location decisions that influence mode choice, respectively. Here
objective spatial conditions as well as subjective location attitudes are important.
相似文献
Joachim ScheinerEmail: |
129.
Singapore motorisation restraint and its implications on travel behaviour and urban sustainability 总被引:1,自引:0,他引:1
Piotr S. Olszewski 《Transportation》2007,34(3):319-335
The example of Singapore shows that rapid urban and economic growth does not have to bring traffic congestion and pollution.
Singapore has chosen to restrain car traffic demand due to its limited land supply. Transport policy based on balanced development
of road and transit infrastructure and restraint of traffic has been consistently implemented for the past 30 years. Combined
with land use planning, it resulted in a modern transport system, which is free from major congestion and provides users with
different travel alternatives. As the economic growth caused a substantial increase in demand for cars, several pricing policies
were introduced with the aim of restraining car ownership and usage. Growth of the vehicle population is now controlled and
potentially congested roads are subject to road pricing. These measures help to keep the roads free from major congestion,
maintain car share of work trips below 25% and keep the transport energy usage low. Although Singapore conditions are in many
aspects unique, its travel demand experience can provide useful lessons for other rapidly growing cities in Asia.
相似文献
Piotr S. OlszewskiEmail: |
130.
Modeling residential sorting effects to understand the impact of the built environment on commute mode choice 总被引:5,自引:2,他引:3
Abdul Rawoof Pinjari Ram M. Pendyala Chandra R. Bhat Paul A. Waddell 《Transportation》2007,34(5):557-573
This paper presents an examination of the significance of residential sorting or self selection effects in understanding the
impacts of the built environment on travel choices. Land use and transportation system attributes are often treated as exogenous
variables in models of travel behavior. Such models ignore the potential self selection processes that may be at play wherein
households and individuals choose to locate in areas or built environments that are consistent with their lifestyle and transportation
preferences, attitudes, and values. In this paper, a simultaneous model of residential location choice and commute mode choice
that accounts for both observed and unobserved taste variations that may contribute to residential self selection is estimated
on a survey sample extracted from the 2000 San Francisco Bay Area household travel survey. Model results show that both observed
and unobserved residential self selection effects do exist; however, even after accounting for these effects, it is found
that built environment attributes can indeed significantly impact commute mode choice behavior. The paper concludes with a
discussion of the implications of the model findings for policy planning.
相似文献
Paul A. WaddellEmail: |