The Experts below are selected from a list of 40560 Experts worldwide ranked by ideXlab platform
Kevin J Krizek - One of the best experts on this subject based on the ideXlab platform.
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pretest posttest strategy for researching neighborhood scale urban form and Travel Behavior
Transportation Research Record, 2000Co-Authors: Kevin J KrizekAbstract:Communities are increasingly looking to land use planning strategies based on a less auto-dependent urban form to reduce the need for Travel, especially drive-alone Travel. In recent years, several studies have attempted to test the impact urban form has on Travel Behavior to determine if such designs are warranted. The results of these studies are mixed because of several shortcomings. Some shortcomings can be attributed to data availability; others are a product of the techniques used to characterize urban form or Travel. Still other shortcomings are embedded in the strategies employed, using cross-sectional Travel data and correlating Travel outcomes with urban form. The line of research is being extended, aimed at isolating the influence of urban form on Travel Behavior; a new research strategy is presented using longitudinal Travel data in concert with detailed measures of Travel Behavior and urban form. Data sources from the Puget Sound are described and a research strategy is presented that permits...
Mario Cools - One of the best experts on this subject based on the ideXlab platform.
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the dual role of weather forecasts on changes in activity Travel Behavior
Journal of Transport Geography, 2013Co-Authors: Mario Cools, Lieve CreemersAbstract:A deeper understanding of how human activity-Travel Behavior is affected by various weather conditions is essential for both policy makers and traffic managers. To unravel the ambiguity in findings reported in the literature, the main objective of this paper is to obtain an accurate assessment of how weather forecasts trigger changes in Flemish activity-Travel Behavior. To this end, data were collected by means of a stated adaptation experiment, which was administered both on the Internet and via traditional paper-and-pencil questionnaires. To address the main research question of this paper, two statistical techniques were adopted. The first technique is the computation of Pearson chi-square independence tests. The second approach is the estimation of a GEE-MNL-model. The results from both techniques underscore the dual role of weather forecasts on changes in activity-Travel Behavior. On the one hand, the results clearly illustrate the significant effect of forecasted weather; the likelihood of changes in activity-Travel Behavior significantly depends on the weather forecasted. On the other hand, different methods of acquiring weather information (exposure, media source, or perceived reliability) do not impact the probability of Behavioral adaptations. This duality may be partially attributable to the discrepancy that exists between weather forecasts and true traffic and roadway conditions. Therefore, the implementation of a road weather information system that is directly linked to the weather forecasts is recommended.
Petter Naess - One of the best experts on this subject based on the ideXlab platform.
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urban form and Travel Behavior experience from a nordic context
Journal of Transport and Land Use, 2012Co-Authors: Petter NaessAbstract:This article surveys the results of research carried out in the Nordic countries on the influence of various aspects of urban form and settlement patterns on Travel Behavior and discusses these results in the view of studies carried out in other European, American, Australian, and Asian countries. There is overwhelming evidence that urban spatial structures matter to Travel Behavior. However, whereas much of the research in America and parts of Europe has focused on the influences of local neighborhood characteristics on Travel, the Nordic research shows effects on Travel Behavior mainly from urban form characteristics at a higher geographical scale: the overall population density within continuous urban areas and the locations of residences and workplaces relative to the city-level or metropolitan center structure.
Lieve Creemers - One of the best experts on this subject based on the ideXlab platform.
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the dual role of weather forecasts on changes in activity Travel Behavior
Journal of Transport Geography, 2013Co-Authors: Mario Cools, Lieve CreemersAbstract:A deeper understanding of how human activity-Travel Behavior is affected by various weather conditions is essential for both policy makers and traffic managers. To unravel the ambiguity in findings reported in the literature, the main objective of this paper is to obtain an accurate assessment of how weather forecasts trigger changes in Flemish activity-Travel Behavior. To this end, data were collected by means of a stated adaptation experiment, which was administered both on the Internet and via traditional paper-and-pencil questionnaires. To address the main research question of this paper, two statistical techniques were adopted. The first technique is the computation of Pearson chi-square independence tests. The second approach is the estimation of a GEE-MNL-model. The results from both techniques underscore the dual role of weather forecasts on changes in activity-Travel Behavior. On the one hand, the results clearly illustrate the significant effect of forecasted weather; the likelihood of changes in activity-Travel Behavior significantly depends on the weather forecasted. On the other hand, different methods of acquiring weather information (exposure, media source, or perceived reliability) do not impact the probability of Behavioral adaptations. This duality may be partially attributable to the discrepancy that exists between weather forecasts and true traffic and roadway conditions. Therefore, the implementation of a road weather information system that is directly linked to the weather forecasts is recommended.
Junyi Zhang - One of the best experts on this subject based on the ideXlab platform.
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Life-oriented Travel Behavior research: An overview
Transportation Research Part A: Policy and Practice, 2017Co-Authors: Junyi Zhang, Veronique Van AckerAbstract:Abstract This special issue argues the importance of a paradigm shift from traditional approaches to the life-oriented approach for a better understanding of Travel Behavior and for better supporting cross-sectoral transport policymaking. The life-oriented approach focuses on the interdependencies between life choices, and for Travel Behavior analysis, it not only considers Travel Behavior as the results from various life choices, but also the reverse relationship of Travel Behavior influencing life choices. Here, first, we introduce the life-oriented approach in general, and then apply it to Travel Behavior research. Second, we summarize the findings from ten papers included in this special issue. These ten papers deal with topics such as commuting, ‘peak car’ phenomenon, Travel mode choice, residential biography, holiday Travel Behavior, and happiness. Evidence is presented mainly from developed countries, but with an exception from China. Each paper presents unique and innovative efforts. Finally, we discuss several important future research challenges.
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The interrelationship between Travel Behavior and life choices in adapting to flood disasters
Natural Hazards, 2016Co-Authors: Junyi Zhang, A. B. M. Sertajur RahmanAbstract:Disasters resulting from climate change are shown to be important determinants of people’s life choice decisions. In the literature, Travel Behavior choice and life choices are usually addressed separately under disasters such as flood and cyclone. However, Travel Behavior may be interdependent with other life choices, jointly shaping people’s adaptation decisions. To this end, the paper advances the literature by exploring the interrelationship between changes in Travel Behavior and job and residential location under flood disasters, while separating coastal and inland observations. For this purpose, a stated preference survey was conducted in 14 cities of Bangladesh in early 2013. An analysis approach based on structural equation modeling was developed to investigate the correlations between Travel Behavior change and job and residential location changes. Model estimation results suggest that flood impacts have significant influences on inland people’s life choices, while coastal people’s life choices are mainly affected by flood adaptation responses and attitudes. Significant correlations between Travel Behavior change and job and residential location changes are found for both observations. Moreover, both coastal and inland people tend not to change residential locations if changes in job location and Travel Behavior are made. Inland people may not change Travel Behavior if their job and/or residential locations are changed, but coastal people’s job and residential location changes are associated with changes in Travel Behavior. Travel Behavior change is found to have more of an effect on residential location change than job location change in both regions. These findings conclude that the two-way relationship between Travel Behavior and life choices should be taken into account in future analyses, and thus adaptation policies to climate change disasters could be better linked with people’s Behavioral responses.
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The Life-oriented Approach and Travel Behavior Research
2015Co-Authors: Junyi ZhangAbstract:This is an abstract of the discussion paper for the Workshop "Life-oriented Approach for Transportation Studies". The life-oriented approach argues that people’s life choices in various domains (e.g., residence, neighborhood, health, education, work, family life, leisure and recreation, finance, and Travel Behavior) are interdependent. For Travel Behavior, it further argues that Travel may not only result from various life decisions, but also affect them, to which people’s quality of life is largely attributable. In other words, Travel is not just a burden, but it is also an indispensable action in life. Understanding of life choices should not be constrained by the boundary of any single discipline. Behaviorally, the ignorance of and inability to understand Travel Behavior from the life choices perspective may lead to a biased estimation of Travel demand and Behavioral changes in response to transport policy. From the transport policy viewpoint, this ignorance and inability may lead to a failure of consensus building. Interdependencies between life choices support cross-sectoral policy decisions. This paper presents some empirical evidence about cross-domain interdependencies and discusses research challenges.
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Uncertainty in Travel Behavior
Sustainable Transport Studies in Asia, 2013Co-Authors: Makoto Chikaraishi, Akimasa Fujiwara, Junyi ZhangAbstract:This chapter gives an overview of uncertainty in Travel Behavior and its implications for transportation planning. We first address the issue of observation of Travel Behavior, which provides a foundation for analysis. We then focus on variations of Travel Behavior that contain information on uncertainties in terms of imperfect model fit to data. After that, changes in Travel Behavior are addressed, with regard to information on uncertainties in the degree to which the future will resemble the past. Based on the overview of Behavioral observation, variations and changes, we discuss the avenues for future research on management of uncertainties from two viewpoints, one emphasizing the improvement of Travel Behavior analysis and the other the improvement of other components of the transportation planning process. From the former viewpoint, we show the importance of conducting uncertainty analysis to embed improved Travel Behavior analysis methods in the planning process in an appropriate manner. From the latter viewpoint, we underscore the importance of learning from accumulated experience in diverse countries/cities and learning from experience, particularly in developing countries.
