How Does Ride-Hailing Influence Individual Mode Choice? An Examination Using Longitudinal Trip Data from the Seattle Region

2021 ◽  
pp. 036119812110556
Author(s):  
Yiyuan Wang ◽  
Anne Vernez Moudon ◽  
Qing Shen
Keyword(s):  
Travel Behavior ◽  
Public Transit ◽  
Transportation Network ◽  
Mode Choice ◽  
Large Population ◽  
Past Research ◽  
Substitution Effects ◽  
Cross Sectional ◽  
Individual Mode ◽  
Walking And Biking

This study investigates the impacts of ride-hailing, which we define as mobility services consisting of both conventional taxis and app-based services offered by transportation network companies, on individual mode choice. We examine whether ride-hailing substitutes for or complements travel by driving, public transit, or walking and biking. The study overcomes some of the limitations of convenience samples or cross-sectional surveys used in past research by employing a longitudinal dataset of individual travel behavior and socio-demographic information. The data include three waves of travel log data collected between 2012 and 2018 in transit-rich areas of the Seattle region. We conducted individual-level panel data modeling, estimating independently pooled models and fixed-effect models of average daily trip count and duration for each mode, while controlling for various factors that affect travel behavior. The results provide evidence of substitution effects of ride-hailing on driving. We found that cross-sectionally, participants who used more ride-hailing tended to drive less, and that longitudinally, an increase in ride-hailing usage was associated with fewer driving trips. No significant associations were found between ride-hailing and public transit usage or walking and biking. Based on detailed travel data of a large population in a major U.S. metropolitan area, the study highlights the value of collecting and analyzing longitudinal data to understand the impacts of new mobility services.

scholarly journals Evolution dynamic of the expressway toll-free policy impact on the mode choice in a bimodal transportation network during holidays

2017 ◽  
Vol 9 (7) ◽  
pp. 168781401771108 ◽  
Author(s):  
Xiao-Mei Lin ◽  
Chun-Fu Shao ◽  
Jian-Pei Qian ◽  
Ying-Da Zhang
Keyword(s):  
Travel Behavior ◽  
Choice Behavior ◽  
Evolutionary Dynamics ◽  
Transportation Network ◽  
Mode Choice ◽  
Evolutionary Model ◽  
Travel Distance ◽  
Limited Attention ◽  
Mode Split ◽  
Implementation Effect

The implementation of expressway toll-free policy during holidays in China has caused serious congestion and frequent accidents on expressways. Many studies have explored the policy’s macroscopic outcome and its countermeasures for policy managers, while limited attention has been paid to the influence mechanism of the policy on the individuals’ travel behavior, especially the mode choice behavior. More insight into the dynamic effects of individuals reacting to policy measure is needed. This study aims at analyzing the adaption progress of the individual’s mode choice behavior and estimating the time-varying influence of the traffic policy on the mode split. With assumptions travelers’ adapting behavior conform to the inertia and myopia principles, a Logit dynamic evolutionary model for mode choice is proposed. A unique globally stable equilibrium state for the model is derived with the strict mathematical analysis. As an application, the influence of the expressway toll-free policy on mode split is evaluated. The travel cost structure, the sensitivity of the travel distance and traffic supply, and the evolutionary dynamics of the mode split are analyzed in scenarios with and without the expressway toll-free policy. The result indicates that travel distance and network’s total supply amount remarkably affect the implementation effect of the policy.

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Discrete Choice ◽  
Travel Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Land Use Regulation ◽  
Policy Action ◽  
Development Goals ◽  
The Impact

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

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 E-bike user groups and substitution effects: evidence from longitudinal travel data in the Netherlands

2021 ◽  
Author(s):  
Mathijs de Haas ◽  
Maarten Kroesen ◽  
Caspar Chorus ◽  
Sascha Hoogendoorn-Lanser ◽  
Serge Hoogendoorn
Keyword(s):  
The Netherlands ◽  
Longitudinal Data ◽  
Latent Class ◽  
Good Alternative ◽  
Substitution Effects ◽  
Or Education ◽  
Cross Sectional ◽  
User Groups ◽  
Using Data ◽  
Mode Of Transport

AbstractIn recent years, the e-bike has become increasingly popular in many European countries. With higher speeds and less effort needed, the e-bike is a promising mode of transport to many, and it is considered a good alternative for certain car trips by policy-makers and planners. A major limitation of many studies that investigate such substitution effects of the e-bike, is their reliance on cross-sectional data which do not allow an assessment of within-person travel mode changes. As a consequence, there is currently no consensus about the e-bike’s potential to replace car trips. Furthermore, there has been little research focusing on heterogeneity among e-bike users. In this respect, it is likely that different groups exist that use the e-bike for different reasons (e.g. leisure vs commute travel), something which will also influence possible substitution patterns. This paper contributes to the literature in two ways: (1) it presents a statistical analysis to assess the extent to which e-bike trips are substituting trips by other travel modes based on longitudinal data; (2) it reveals different user groups among the e-bike population. A Random Intercept Cross-Lagged Panel Model is estimated using five waves of data from the Netherlands Mobility Panel. Furthermore, a Latent Class Analysis is performed using data from the Dutch national travel survey. Results show that, when using longitudinal data, the substitution effects between e-bike and the competing travel modes of car and public transport are not as significant as reported in earlier research. In general, e-bike trips only significantly reduce conventional bicycle trips in the Netherlands, which can be regarded an unwanted effect from a policy-viewpoint. For commuting, the e-bike also substitutes car trips. Furthermore, results show that there are five different user groups with their own distinct behaviour patterns and socio-demographic characteristics. They also show that groups that use the e-bike primarily for commuting or education are growing at a much higher rate than groups that mainly use the e-bike for leisure and shopping purposes.

scholarly journals Examining the Effects of the Sacramento Dockless E-Bike Share on Bicycling and Driving

2021 ◽  
Vol 13 (1) ◽  
pp. 368
Author(s):  
Dillon T. Fitch ◽  
Hossain Mohiuddin ◽  
Susan L. Handy
Keyword(s):  
Travel Behavior ◽  
Regression Models ◽  
Population Level ◽  
Panel Survey ◽  
Multilevel Regression ◽  
Combine Data ◽  
Cross Sectional ◽  
Individual Level ◽  
Before And After ◽  
Bike Share

One way cities are looking to promote bicycling is by providing publicly or privately operated bike-share services, which enable individuals to rent bicycles for one-way trips. Although many studies have examined the use of bike-share services, little is known about how these services influence individual-level travel behavior more generally. In this study, we examine the behavior of users and non-users of a dockless, electric-assisted bike-share service in the Sacramento region of California. This service, operated by Jump until suspended due to the coronavirus pandemic, was one of the largest of its kind in the U.S., and spanned three California cities: Sacramento, West Sacramento, and Davis. We combine data from a repeat cross-sectional before-and-after survey of residents and a longitudinal panel survey of bike-share users with the goal of examining how the service influenced individual-level bicycling and driving. Results from multilevel regression models suggest that the effect of bike-share on average bicycling and driving at the population level is likely small. However, our results indicate that people who have used-bike share are likely to have increased their bicycling because of bike-share.

Partnerships with Technology-Enabled Mobility Companies

2017 ◽  
Vol 2649 (1) ◽  
pp. 106-112 ◽  
Author(s):  
Marla Westervelt ◽  
Joshua Schank ◽  
Emma Huang
Keyword(s):  
Service Delivery ◽  
Public Transit ◽  
Transportation Network ◽  
Public Agencies ◽  
On Demand ◽  
Transportation Network Companies

The rise and the proliferation of the on-demand economy are creating a new mobility marketplace. This research explored how these new options could be synergistic with public transit models and detailed the experiences of two transit operators that entered into service delivery partnerships with a transportation network company and a micro-transit operator. Based on a series of interviews and the experiences of these two public agencies, this research provides a set of key takeaways and recommendations for transit operators exploring the potential of partnering with new mobility services such as transportation network companies (e.g., Uber or Lyft) and microtransit (e.g., Bridj or Via).

scholarly journals Multimorbidity as an important issue among women: results of a gender difference investigation in a large population-based cross-sectional study in West Asia

BMJ Open ◽  
2017 ◽  
Vol 7 (5) ◽  
pp. e013548 ◽  
Author(s):  
Masoomeh Alimohammadian ◽  
Azam Majidi ◽  
Mehdi Yaseri ◽  
Batoul Ahmadi ◽  
Farhad Islami ◽  
...  
Keyword(s):  
Gender Difference ◽  
Large Population ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

519 Restless Legs and Periodic Limb Movements in 86 patients with Multiple Sclerosis

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A205-A205
Author(s):  
Davide Sparasci ◽  
Raffaele Ferri ◽  
Anna Castelnovo ◽  
Claudio Gobbi ◽  
Chiara Zecca ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Diagnostic Criteria ◽  
Large Population ◽  
Female Gender ◽  
Clinical Findings ◽  
Periodic Limb Movements ◽  
Limb Movements ◽  
Cross Sectional ◽  
Restless Legs ◽  
Maintenance Of Wakefulness Test

Abstract Introduction The aim of this study was to assess the prevalence of restless legs syndrome (RLS), periodic limb movements during sleep (PLMS) and their overlap in a large population of patients with multiple sclerosis (MS), and to compare clinical and paraclinical findings between patients with and without RLS/PLMS. Methods In this cross–sectional, observational, instrumental study, eighty-six patients (M/F: 27/59; mean age 48.0 ± 10.8 years) with a diagnosis of MS underwent a structured telephone interview assessing the five standard diagnostic criteria for RLS. Seventy-six participants underwent Video-polysomnography and Maintenance of Wakefulness Test (MWT). Instrumental and clinical findings were subsequently statistically compared to investigate their association with RLS and PLMS index (PLMSI). Results RLS and PLMS (PLMSI ≥15/h) prevalence in patients with MS was of 31.4% and 31.6% respectively. Among patients with RLS, 37.5% had a PLMSI ≥15/h. In the group with PLMS, 37.5% met all diagnostic criteria for RLS. No differences were found between patients with and without RLS (F = 0.99, p = 0.45), and between patients with and without a PLMSI ≥15/hour (F = 0.32 p = 0.94) on the pool of clinical and instrumental variables. Conclusion RLS is highly prevalent and severe in patients with MS. The prevalence of PLMS is comparable to the general population. The low percentage of patients with RLS having a high PLMSI, together with the absence of correlation between RLS and female gender and older age, support the existence of a distinct symptomatic form of RLS in MS. Support (if any):

Finding Brands and Not Losing Your Religion? Exploring the Relationship Between Brand Engagement in Self-Concept and Religious Commitment

2021 ◽  
Vol 18 (3) ◽  
pp. 201-217
Author(s):  
Wiktor Razmus ◽  
Beata Zarzycka
Keyword(s):  
Religious Commitment ◽  
Past Research ◽  
Cross Sectional Study ◽  
Self Concept ◽  
Sectional Study ◽  
Grandiose Narcissism ◽  
Cross Sectional ◽  
Brand Engagement ◽  
The Relationship

Past research links a decrease in religiosity with the development of marketing and, in particular, with the growing role of brands in consumers’ lives. Building on James's (1920) theory of the self, we propose that focusing on brands as a strategy for self-expression (brand engagement in self-concept; BESC) does not exclude religious commitment and may even be related with higher levels of religious commitment. We also suggest that this relationship is moderated by grandiose narcissism. The hypotheses were tested on a sample of 306 individuals in a cross-sectional study. The findings provide evidence that BESC is positively related to religious commitment and the higher an individual’s narcissism is, the stronger the positive relationship between BESC and religious commitment. These findings suggest that using brands as a strategy for self-expression is not a substitute for religious commitment.

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