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851.
This study examines the adoption of a travel behaviour modification programme to encourage sustainable mobility and public bus usage. Students from four schools in Penang Island were recruited and divided into two groups: Group 1 (without incentives) and Group 2 (with incentives). In the experiment, after having a motivation session about sustainable transport, the respondents were asked to design their travel patterns for seven days. The next session gathered data about their actual travel and asked for feedback regarding the programme. The results demonstrate that incentives encouraged respondents to follow their plans for travel behaviour and public bus usage. The results highlight that their commitment to follow their travel plans were influenced by ethnicity, distance from home to school, travel time, and household income. The study offers some discussion regarding the implications of the results for strengthening sustainable mobility and encouraging public bus use among adolescents. 相似文献
852.
The increasing popularity of global positioning systems (GPSs) has prompted transportation researchers to develop methods that can automatically extract and classify episodes from GPS data. This paper presents a transferable and efficient method of extracting and classifying activity episodes from GPS data, without additional information. The proposed method, developed using Python®, introduces the use of the multinomial logit (MNL) model in classifying extracted episodes into different types: stop, car, walk, bus, and other (travel) episodes. The proposed method is demonstrated using a GPS dataset from the Space-Time Activity Research project in Halifax, Canada. The GPS data consisted of 5127 person-days (about 47 million points). With input requirements directly derived from GPS data and the efficiency provided by the MNL model, the proposed method looks promising as a transferable and efficient method of extracting activity and travel episodes from GPS data. 相似文献
853.
Saint Martin Island is the only coral island and one of the well-known tourist spots in Bangladesh. Because of its geographic location, electricity cannot be su... 相似文献
854.
Hybridation of generation propagation models and SPH model to study severe sea states in Galician Coast 总被引:1,自引:0,他引:1
A.J.C. Crespo M. Gmez-Gesteira P. Carracedo R.A. Dalrymple 《Journal of Marine Systems》2008,72(1-4):135
The Atlantic and Cantabrian coasts of the Iberian Peninsula suffer the periodic passage of storms which give rise to severe sea states. Standard generation- propagation models (WAM, WAVEWATCH, SWAN) are commonly used for operational oceanography purposes with satisfactory results both in the open ocean and in near shore areas but they do not provide information about the possibility of flooding in coastal areas. A 2D HV version of SPH (Smoothed Particle Hydrodynamics) model is considered to propagate the signal provided by generation- propagation models to the coast and to analyze the nature of coastal structures overtopping as a tool to create maps of risk. SPH is shown to provide valuable information about overtopping (maximum water height and water velocity) under the stormy conditions suffered by the Galician coast on February 17, 2006. 相似文献
855.
M Wardman P.W Bonsall J.D Shires 《Transportation Research Part C: Emerging Technologies》1997,5(6):262
This paper uses a Stated Preference approach to undertake a detailed assessment of the effect on drivers’ route choice of information provided by variable message signs (VMS). Although drivers’ response to VMS information will vary according to the availability of alternative routes and the extent to which they are close substitutes, our findings show that route choice can be strongly influenced by the provision of information about traffic conditions ahead. This has important implications for the use of VMS systems as part of comprehensive traffic management and control systems. The principal findings are that the impact of VMS information depends on: the content of the message, such as the cause of delay and its extent; local circumstances, such as relative journey times in normal conditions; and drivers’ characteristics, such as their age, sex and previous network knowledge. The impact of qualitative indicators, visible queues and delays were examined. It was found that not only is delay time more highly valued than normal travel time, which is to be expected, but that drivers become more sensitive to delay time as delay times increased across the range presented. 相似文献
856.
Modeling the interaction between the built environment and travel behavior is of much interest to transportation planning
professionals due to the desire to curb vehicular travel demand through modifications to built environment attributes. However,
such models need to take into account self-selection effects in residential location choice, wherein households choose to
reside in neighborhoods and built environments that are conducive to their lifestyle preferences and attitudes. This phenomenon,
well-recognized in the literature, calls for the specification and estimation of joint models of multi-dimensional land use
and travel choice processes. However, the estimation of such model systems that explicitly account for the presence of unobserved
factors that jointly impact multiple choice dimensions is extremely complex and computationally intensive. This paper presents
a joint GEV-based logit regression model of residential location choice, vehicle count by type choice, and vehicle usage (vehicle
miles of travel) using a copula-based framework that facilitates the estimation of joint equations systems with error dependence
structures within a simple and flexible closed-form analytic framework. The model system is estimated on a sample derived
from the 2000 San Francisco Bay Area Household Travel Survey. Estimation results show that there is significant dependency
among the choice dimensions and that self-selection effects cannot be ignored when modeling land use-travel behavior interactions. 相似文献
857.
M. William Sermons Natalya Seredich 《Transportation Research Part D: Transport and Environment》2001,6(6):417-428
In this paper, a joint multinomial logit (MNL) model of residential location and vehicle availability choice is formulated and estimated using a sample of households from the San Francisco, CA area Metropolitan Transportation Commission's 1990 household travel survey. Subsequently, models of travel intensity (number of daily household trips and vehicle-miles traveled) are estimated as a function of household characteristics and of attributes derived from the joint residential location and auto availability choice model (number of vehicles, percent land developed). A policy test shows that reducing the cost of locating in the densest areas of the metropolitan area is likely to have only marginal impact on vehicle availability and household trip making. 相似文献
858.
Using the schedule‐based approach, in which scheduled timetables are used to describe the movement of vehicles, a dynamic transit assignment model is formulated. Passengers are assumed to travel on a path with minimum generalized cost that consists of four components: in‐vehicle time; waiting time; walking time; and a time penalty for each line change. A specially developed branch and bound algorithm is used to generate the time‐dependent minimum path. The assignment procedure is conducted over a period in which both passenger demand and train headway are varying. This paper presents an overview of the research that has been carried out by the authors to develop the schedule‐based transit assignment model, and offers perspectives for future research. 相似文献
859.
The development and initial validation results of a micro-simulator for the generation of daily activity-travel patterns are
presented in this paper. The simulator assumes a sequential history and time-of-day dependent structure. Its components are
developed based on a decomposition of a daily activity-travel pattern into components to which certain aspects of observed
activity-travel behavior correspond, thus establishing a link between mathematical models and observational data. Each of
the model components is relatively simple and is estimated using commonly adopted estimation methods and existing data sets.
A computer code has been developed and daily travel patterns have been generated by Monte Carlo simulation. Study results
show that individuals' daily travel patterns can be synthesized in a practical manner by micro-simulation. Results of validation
analyses suggest that properly representing rigidities in daily schedules is important in simulating daily travel patterns.
This revised version was published online in June 2006 with corrections to the Cover Date. 相似文献
860.
Khandker M. Nurul Habib Catherine Morency 《Transportation Research Part A: Policy and Practice》2012,46(2):241-254
This paper presents an econometric model for the behaviour of carsharing users. The econometric model is developed to jointly forecast membership duration, the decision to become an active member in a particular month, and the frequency of monthly usage of active members. The model is estimated using the membership directory and monthly transaction data of a carsharing program, ‘Communauto Inc.’, based in Montréal, Canada. The model shows a high degree of fit to the observed dataset and provides many behavioural details of carsharing users. The results are instructive to carsharing planners in devising efficient policies. 相似文献