Nonwork Travel Behavior Changes during Temporary Freeway Closure

Author(s):  
Meiping Yun ◽  
David van Herick ◽  
Patricia L. Mokhtarian
Author(s):  
Ronald Koo ◽  
Youngbin Yim

How traffic information is obtained and how it affects travel behavior when a major freeway is congested are presented and discussed. Immediately following a major highway incident south of San Francisco that caused congestion, a telephone survey was conducted of commuters who use the affected corridor of the highway. The behavior of commuters before and during their commute at the time of the incident was determined, including obtaining traffic information and how the information influenced changes in route, mode of travel, and departure time. The results of the survey suggest that traveler behavior is largely unaffected by individual incidents of congestion. Furthermore, although a fair proportion of commuters do obtain traffic information, they do not often modify their travel behavior in response. This study is one of several that collectively will provide insight into how travel behavior changes over time and allow the authors to assess the impact of TravInfo Traveler Advisory Telephone System in the San Francisco Bay Area.


2020 ◽  
Vol 12 (15) ◽  
pp. 6201
Author(s):  
Jichao Geng ◽  
Ruyin Long ◽  
Li Yang ◽  
Junqi Zhu ◽  
Getnet Engeda Birhane

This study aims at presenting an experimental evaluation of the different effects of environmental and health information on encouraging car owners to travel on foot and by bicycle. Health information consists of a high and a low target setting. One hundred and forty-six participants in Hefei city reported their travel behaviors in terms of mode, time, and trip before and after the experiment. Their cognitive and emotional processes with regard to the protection motivation theory (PMT) that determine their potential travel behavior changes in response to information intervention are also identified. Three experimental groups and one control group based on a between-group design are adopted and the methodology of paired sample chi-squared tests and stepwise linear regressions are used. The results show that environmental information alone fails to encourage car owners’ non-motorized travel. When health information is added, information intervention can effectively encourage a time increase in walking and cycling as well as a time and trip decrease in car use in the short term. But the long-term effect is not significant after a year and a half. Moreover, there are no significant differences between the high and the low target settings in health information for encouraging non-motorized travel. In terms of PMT constructs, severity has a significant relationship with the change of time or trip on foot and by bicycle. Vulnerability emerges as a non-effective predictor. Reward, self-efficacy, response efficacy, and response cost are more remarkable in predicting the change of time or trip by car. This study recommends that (1) health information with a target setting is superior to environmental information, (2) reduction strategy is potentially superior to transfer strategy to control car usage, (3) policymakers should design intervention strategies relevant to the coping appraisal rather than to the threat appraisal.


Author(s):  
Sisinnio Concas ◽  
Sean J. Barbeau ◽  
Philip L. Winters ◽  
Nevine Labib Georggi

Carsharing programs help reduce car use and increase reliance on congestion-reducing modes, including transit, bicycling, and walking. The basic pricing model, a flat hourly rate, creates an opportunity to study variable pricing as a strategy to increase demand for carsharing, while influencing travel behavior modally, spatially, and temporally. This chatper discusses the use of a GPS-enabled mobile phone application to collect travel behavior data while changes to the hourly rental rates were administered to an experimental group of carsharing users. To assess shifts in peak-hour travel in response to variable pricing, nonparametric methods are used to estimate rental start-time probability density functions. Findings show that using pricing to influence when carsharing members take trips can serve to redirect demand to capacity travel times on the road system.


2021 ◽  
Author(s):  
Muhammad Zudhy Irawan ◽  
Prawira Fajarindra Belgiawan ◽  
Tri Basuki Joewono ◽  
Faza Fawzan Bastarianto ◽  
Muhamad Rizki ◽  
...  

2013 ◽  
Vol 87 ◽  
pp. 31-43 ◽  
Author(s):  
Italo Meloni ◽  
Benedetta Sanjust ◽  
Eleonora Sottile ◽  
Elisabetta Cherchi

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Ioannis Politis ◽  
Georgios Georgiadis ◽  
Anastasia Nikolaidou ◽  
Aristomenis Kopsacheilis ◽  
Ioannis Fyrogenis ◽  
...  

Abstract Background COVID-19 pandemic is a challenge that the world had never encountered in the last 100 years. In order to mitigate its negative effects, governments worldwide took action by prohibiting at first certain activities and in some cases by a countrywide lockdown. Greece was among the countries that were struck by the pandemic. Governmental authorities took action in limiting the spread of the pandemic through a series of countermeasures, which built up to a countrywide lockdown that lasted 42 days. Methodology This research aims at identifying the effect of certain socioeconomic factors on the travel behaviour of Greek citizens and at investigating whether any social groups were comparatively less privileged or suffered more from the lockdown. To this end, a dynamic online questionnaire survey on mobility characteristics was designed and distributed to Greek citizens during the lockdown period, which resulted in 1,259 valid responses. Collected data were analysed through descriptive and inferential statistical tests, in order to identify mobility patterns and correlations with certain socioeconomic characteristics. Additionally, a Generalised Linear Model (GLM) was developed in order to examine the potential influence of socioeconomic characteristics to trip frequency before and during the lockdown period. Results Outcomes indicate a decisive decrease in trip frequencies due to the lockdown. Furthermore, the model’s results indicate significant correlations between gender, income and trip frequencies during the lockdown, something that is not evident in the pre-pandemic era.


2016 ◽  
Vol 22 (3) ◽  
pp. 275-293
Author(s):  
Anne E. Brown ◽  
Brian D. Taylor ◽  
Martin Wachs

One of the most heavily traveled freeways in the United States closed for construction over weekends in 2011 and 2012. Some public officials publicized the closures by appealing to civic pride whereas others threatened nightmarish delays they dubbed “Carmageddon.” In 2011, contrary to many media predictions, traffic flowed freely at volumes far below normal levels. Our analysis finds that travelers did not switch routes, modes, or trip timing, but instead forewent thousands of trips. Travel behavior changes were far more modest and mixed during the second closure in 2012. Although the lack of traffic problems surprised many public officials, we find traveler responses to both events congruent with past research. Traveler responses to the first event were more dramatic but short-lived, while more modest but durable responses to the second event suggest that travelers learned from, and were perhaps jaded by, the histrionics surrounding the first closure.


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