Effects of Traffic Congestion on Vehicle Miles Traveled

2018 ◽  
Vol 2672 (47) ◽  
pp. 92-102 ◽  
Author(s):  
Reza Sardari ◽  
Shima Hamidi ◽  
Raha Pouladi
Keyword(s):  
Travel Behavior ◽  
Traffic Congestion ◽  
Structural Equation ◽  
National Level ◽  
Network Connectivity ◽  
Transportation Systems ◽  
Equation Modeling ◽  
Population Mobility ◽  
Vehicle Miles Traveled ◽  
Land Use Patterns

The effects of traffic congestion on travel behavior are complex and multidimensional because they are related to various factors such as density, land use patterns, network connectivity, and individual preferences. Traffic congestion is a phenomenon that not only affects transportation systems but also influences commuters’ quality of life and population mobility. The present research aims to analyze the effects of traffic congestion on individuals’ travel behaviors, addressing both direct and indirect effects of congestion on vehicle miles traveled (VMT) per driver by implementing structural equation modeling (SEM) techniques. In addition to the causal analysis between traffic congestion and VMT, this study examined the complex relationship between an individual’s socioeconomic characteristics, the built environment, congestion, and VMT. Measuring local congestion at a national level is also a key contribution of this research. This study used the same methodology as the Texas A&M Transportation Institute to compute a road congestion index and quantify local congestion for 93,769 drivers within 337 metropolitan areas. Our findings suggest that congestion is the main driver of VMT reduction. The findings also confirm that residents in compact development regions have lower daily VMTs because of the proximity of origins and destinations in denser areas with higher job–population balances. Therefore, rather than expanding highway networks, public transit investment might address traffic congestion more efficiently—not only by providing residents with more equitable and sustainable means of transportation, but also by encouraging people to reside in more compact and location-efficient areas.

scholarly journals Analysis of the Travel Intent for Park and Ride Based on Perception

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Huanmei Qin ◽  
Hongzhi Guan ◽  
Guang Zhang
Keyword(s):  
Influencing Factors ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Structural Equation ◽  
Service Level ◽  
Equation Modeling ◽  
Direct And Indirect Effects ◽  
Park And Ride ◽  
Passive Behavior ◽  
The Relationship

As a multimodal travel behavior, park and ride includes several trip modes such as car, walking, bus, or railway. And people’s choice of park and ride is influenced by many factors. This paper, based on the park and ride behavior survey in Beijing, will analyze the relationship between the perception of the influencing factors and the behavior intent for park and ride by using structural equation modeling. The conclusions suggest that the park and ride choice for travelers is a passive behavior which means giving up driving the car is mainly caused by the serious traffic congestion. Furthermore, improving the service level of the park and ride facilities and the comfort for riding bus or railway will increase the utilization of park and ride facilities. The perceptions of the influencing factors have both direct and indirect effects on the travel intent for park and ride by the interaction among the influencing factors.

scholarly journals The impacts of mediating the work environment on the mode choice in work trips

2021 ◽  
Vol 11 (1) ◽  
pp. 592-605
Author(s):  
Melchior Bria ◽  
Ludfi Djakfar ◽  
Achmad Wicaksono
Keyword(s):  
Work Environment ◽  
Public Transportation ◽  
Travel Behavior ◽  
Structural Equation ◽  
Mode Choice ◽  
Equation Modeling ◽  
Rapid Transit ◽  
Long Time ◽  
Socio Economic Variables ◽  
The Relationship

Abstract The impacts of work characteristics on travel mode choice behavior has been studied for a long time, focusing on the work type, income, duration, and working time. However, there are no comprehensive studies on the influence of travel behavior. Therefore, this study examines the influence of work environment as a mediator of socio-economic variables, trip characteristics, transportation infrastructure and services, the environment and choice of transportation mode on work trips. The mode of transportation consists of three variables, including public transportation (bus rapid transit and mass rapid transit), private vehicles (cars and motorbikes), and online transportation (online taxis and motorbike taxis online). Multivariate analysis using the partial least squares-structural equation modeling method was used to explain the relationship between variables in the model. According to the results, the mediating impact of work environment is significant on transportation choices only for environmental variables. The mediating mode choice effect is negative for public transportation and complimentary for private vehicles and online transportation. Other variables directly affect mode choice, including the influence of work environment.

scholarly journals Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

2021 ◽  
Author(s):  
Zhongqi Wang ◽  
Qi Han ◽  
Bauke de Vries ◽  
Li Dai
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Operations Management ◽  
Latent Variable ◽  
Structural Equation ◽  
Equation Modeling ◽  
Rail Transit ◽  
Land Use Patterns ◽  
Transit Services ◽  
The Relationship

AbstractThe identification of the relationship between land use and transport lays the foundation for integrated land use and transport planning and management. This work aims to investigate how rail transit is linked to land use. The research on the relationship between land use and rail-based transport is dominated by the impacts of rail projects on land use, without an in-depth understanding of the reverse. However, it is important to note that issues of operation management rather than new constructions deserve greater attention for regions with established rail networks. Given that there is a correspondence between land use patterns and spatial distribution of heavy railway transit (HRT) services at such regions, the study area (i.e., the Netherlands) is partitioned by the Voronoi diagram of HRT stations and the causal relationship between land use and HRT services is examined by structural equation modeling (SEM). The case study of Helmond (a Dutch city) shows the potential of the SEM model for discussing the rail station selection problem in a multiple transit station region (MTSR). Furthermore, in this study, the node place model is adapted with the derivatives of the SEM model (i.e., the latent variable scores for rail service levels and land use characteristics), which are assigned as node and place indexes respectively, to analyze and differentiate the integration of land use and HRT services at the regional level. The answer to whether and how land use affects rail transit services from this study strengthens the scientific basis for rail transit operations management. The SEM model and the modified node place model are complementary to be used as analytical and decision-making tools for rail transit-oriented regional development.

scholarly journals The Psychology of Sharing: Multigroup Analysis among Users and Non-Users of Carsharing

2021 ◽  
Vol 13 (12) ◽  
pp. 6842
Author(s):  
Érika Martins Silva Ramos ◽  
Cecilia Jakobsson Bergstad
Keyword(s):  
Travel Behavior ◽  
Psychological Factors ◽  
Structural Equation ◽  
Subjective Norms ◽  
Equation Modeling ◽  
Intention To Use ◽  
Negative Effects ◽  
Confirmatory Factor ◽  
Negative Effect ◽  
Multigroup Confirmatory Factor Analysis

The present study investigates the determinants of intention to use carsharing services by an integrated model of psychological predictors of travel behavior. The model proposed is tested by multigroup confirmatory factor analysis (MGCFA) in structural equation modeling (SEM) with further discussion about analysis of invariance and its relevance for comparisons between groups. The sample was classified into four groups: Italian users, Italian non-users, Swedish users, and Swedish non-users of carsharing. The users were respondents who have used or are currently using carsharing, while non-users reported never using the carsharing services. The analysis of data from 6072 respondents revealed that control was the main predictor of intention to use carsharing; driving habits had stronger negative effects for users of carsharing than for non-users; subjective norms positively predicted the intention to use carsharing among all groups; trust was a predictor of intention only for the Italian groups; and climate morality had a small negative effect on the Swedish groups only. The outcomes of this investigation will increase the knowledge about the use of carsharing and help to identify the behavioral and psychological factors that primarily influence people’s intention to use it.

scholarly journals Examination of Self-efficacy Beliefs of on performance (An empirical study on National level Players of team sports in Sri Lanka)

2019 ◽  
Vol 7 (12) ◽  
Author(s):  
Perera HPN ◽  
Jusoh M ◽  
Azam SMF ◽  
Sudasinghe SRSN
Keyword(s):  
Sri Lanka ◽  
Self Efficacy ◽  
Structural Equation ◽  
National Level ◽  
Team Sports ◽  
Equation Modeling ◽  
Research Model ◽  
Efficacy Belief ◽  
Perceived Performance ◽  
The Impact

The main goal of this study was identify the impact of Self-Efficacy on the performance of team sports players in Sri Lanka. Mainly it was focused to measure self-efficacy belief of team players and the experimental variable of the study was perceived performance. The study utilized a likert scale questionnaire which had been adopted from literature to obtain data for the study. The research model was tested using 308 subjects comprised of national level team players. Data were analyzed using SPSS and structural equation modeling with AMOS. Self-efficacy has proven to have a noticeable impact on subjective performance of the players. The recommendations included the strategies which can be utilized to enhance the self-efficacy belief of the players.

scholarly journals Identification of Prior Factors Influencing the Mode Choice of Short Distance Travel

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ming Li ◽  
Guohua Song ◽  
Ying Cheng ◽  
Lei Yu
Keyword(s):  
Traffic Congestion ◽  
Household Income ◽  
Short Distance ◽  
Structural Equation ◽  
Mode Choice ◽  
Equation Modeling ◽  
Residential Areas ◽  
Factors Influencing ◽  
Willingness To Change ◽  
Distance Travel

Short distance trips are defined as any trips shorter than or equal to 5 kilometers, which have been found to be a big contributor to the traffic congestion problem. This paper is intended to analyze factors that influence the mode choice of short distance travels in order to help reduce short distance trips by cars. A survey is conducted at two typical kinds of residential areas, one with a high proportion of short distance car trips and another one with a low proportion. Then, by applying the structural equation modeling, it is found that the age, the household income, and the vehicle ownerships have a significant effect on the mode choice of short distance travels. Besides, among residents of the same type (same age, household income, and vehicle ownerships) in surveyed areas, those in the area with a better green-mode travel environment account for a higher proportion choosing the green mode than those in other areas. Based on this result, it is concluded that a better green-mode travel environment leads to a higher proportion of green-mode travels. In the end, the paper shows residents’ stated willingness to change travel modes from cars to the green mode.

scholarly journals Exploring the Influence of Attitudes to Walking and Cycling on Commute Mode Choice Using a Hybrid Choice Model

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Chuan Ding ◽  
Yu Chen ◽  
Jinxiao Duan ◽  
Yingrong Lu ◽  
Jianxun Cui
Keyword(s):  
Travel Behavior ◽  
Traffic Congestion ◽  
Structural Equation ◽  
Choice Model ◽  
Mode Choice ◽  
Influential Factors ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
The Impact ◽  
Hybrid Choice Model

Transport-related problems, such as automobile dependence, traffic congestion, and greenhouse emissions, lead to a great burden on the environment. In developing countries like China, in order to improve the air quality, promoting sustainable travel modes to reduce the automobile usage is gradually recognized as an emerging national concern. Though there are many studies related to the physically active modes (e.g., walking and cycling), the research on the influence of attitudes to active modes on travel behavior is limited, especially in China. To fill up this gap, this paper focuses on examining the impact of attitudes to walking and cycling on commute mode choice. Using the survey data collected in China cities, an integrated discrete choice model and the structural equation model are proposed. By applying the hybrid choice model, not only the role of the latent attitude played in travel mode choice, but also the indirect effects of social factors on travel mode choice are obtained. The comparison indicates that the hybrid choice model outperforms the traditional model. This study is expected to provide a better understanding for urban planners on the influential factors of green travel modes.

scholarly journals Factors That Influence Older Canadians’ Preferences for using Autonomous Vehicle Technology: A Structural Equation Analysis

2019 ◽  
Vol 2673 (1) ◽  
pp. 469-480 ◽  
Author(s):  
Hany M. Hassan ◽  
Mark R. Ferguson ◽  
Saiedeh Razavi ◽  
Brenda Vrkljan
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Urban Areas ◽  
Autonomous Vehicles ◽  
Structural Equation ◽  
Well Being ◽  
Transportation Systems ◽  
Equation Modeling ◽  
Willingness To Use

Accessible and safe mobility is critical for those aged 65 years and older to maintain their health, quality of life, and well-being. Being able to move beyond one’s home and participate in activities in older adulthood requires consideration of both transportation needs and preferences. This paper aims to address a gap in evidence with respect to understanding factors that can affect older adults’ perceptions and willingness to use autonomous vehicles. In addition, it examines how these factors compare with those of younger adults to better understand the potential implications of this technology on mobility and quality of life. Using responses of those aged 65+ to a national survey of Canadians, structural equation modeling (SEM) was used to identify and quantify factors significantly associated with older adults’ willingness to use autonomous vehicles. The SEM results suggest that factors such as using other modes of transit (e.g., sharing rides as passenger, bicycle, public transit, commuter rail, ride and car sharing) as well as distance traveled by automobile, income, gender (being male), and living in urban areas, were all positively associated with older adults’ perceptions of using autonomous driving features. The findings also suggest that older Canadians are more concerned about autonomous vehicles than younger Canadians. This study provides valuable insights into factors that can affect the preferences of Canadians when it comes to autonomous technology in their automobiles. Such results can inform the way in which transportation systems are designed to ensure the needs of users are considered across both age and ability.

scholarly journals Service Quality and Service Gap of Autonomous Driving Group Rapid Transit System

2020 ◽  
Vol 12 (22) ◽  
pp. 9412
Author(s):  
Wei-Hsi Hung ◽  
Yao-Tang Hsu
Keyword(s):  
Public Transportation ◽  
Structural Equation ◽  
Service Providers ◽  
Transportation Systems ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Rapid Transit ◽  
Experiential Marketing ◽  
Transit System ◽  
Continuous Usage Intention

Recently, the trend of public transportation has evolved from traditional vehicles to intelligent transportation systems. Among many innovative systems, the development of group rapid transit (GRT) has become increasingly important. This study aims to explore the key acceptance factors for users to adopt GRT through three dimensions: technology, sharing, and experiential marketing (TSE). First, this study identifies variables under each construct of the TSE model through a literature review and interviews with experts, so as to understand what factors of the model impact users’ usage intention and continuous usage intention. Subsequently, through a questionnaire survey, the theoretical model is verified. The participants of the survey were users of GRT, and a total of 306 valid questionnaires were collected. Through structural equation modeling (SEM) analysis, the results indicate that technology does not significantly impact usage intention, as users may not fully understand GRT’s future developments; technology only affects continuous usage intention. Sharing also only influences continuous usage intention. These results show that the adoption of GRT may be gradual and long-term rather than short-term. Finally, experiential marketing has a significant impact on both usage intention and continuous usage intention. This implies that users’ experiences are vital in promoting innovative services, hence service providers should seek to not only improve the service but also enhance users’ trust in and support for the service.

Technology transfer and its impact on innovation and firm performance: empirical evidence from Turkish export companies

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Omer Cinar ◽  
Serkan Altuntas ◽  
Mehmet Asif Alan
Keyword(s):  
Technology Transfer ◽  
Firm Performance ◽  
Structural Equation ◽  
National Level ◽  
Theoretical Framework ◽  
Decision Makers ◽  
Equation Modeling ◽  
Content Type ◽  
Positive Effects ◽  
The Relationship

Purpose The purpose of this study is to determine the relationships between technology transfer, innovation and firm performance. Design/methodology/approach The relationship between technology transfer, innovation and firm performance is examined by using data obtained from 252 Turkish export firms, which are among the top 1,000 firms in terms of export volume in Turkey. To examine these relationships, a theoretical framework is empirically tested using structural equation modeling and tested via an empirical study of Turkish export companies. Findings The results of this study can benefit policymakers in government at the national level and company decision-makers at the firm level. Furthermore, an understanding of the relationship between technology transfer, innovation and firm performance may help firms to make correct technology transfer decisions and focus on the correct type of innovation to increase firm performance in practice. The findings indicate the positive effects of technology transfer on innovation and firm performance. In addition, innovation mediates the relationship between technology transfer and firm performance in Turkish export companies. This study suggests that decision-makers should transfer the right technology because well-realized technology transfers lead to the improvement of corporate innovation capacities and improvement of firm performances for export companies. Originality/value There is no study that fully examined the relationship between technology transfer, innovation and firm performance. The proposed literature-based theoretical framework in this study is novel for Turkish export companies.

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