scholarly journals Shifting to Shared Wheels: Factors Affecting Dockless Bike-Sharing Choice for Short and Long Trips

2020 ◽  
Vol 12 (19) ◽  
pp. 8205 ◽  
Author(s):  
Ioannis Politis ◽  
Ioannis Fyrogenis ◽  
Efthymis Papadopoulos ◽  
Anastasia Nikolaidou ◽  
Eleni Verani
Keyword(s):  
Stated Preference ◽  
Vehicle Ownership ◽  
Factors Affecting ◽  
Demographic Groups ◽  
Trip Purpose ◽  
Shared Mobility ◽  
Attractive Option ◽  
Bike Sharing ◽  
Mode Of Transport ◽  
Willingness To Use

In this paper, we explore users’ intentions to use bike-sharing systems (BSS) compared to traditional competitive transport modes—private car, bus and walking. Fueled by the increasingly rampant growth of shared economy and Information and Communication Technology (ICT), shared mobility is gaining increasing traction. The numbers of shared mobility schemes are rapidly growing worldwide and are accompanied by changes in the traditional vehicle ownership model. In order to pinpoint the factors that strongly affect the willingness to use BSS, a stated preference survey among car and bus users as well as pedestrians was designed and conducted. Binary logit models of the choice between the currently preferred transportation modes and BSSs were developed, for short and long-duration trips, respectively. The results highlight a distinctive set of factors and patterns affecting the willingness to adopt bike-sharing: choice is most sensitive to travel time and cost of the competitive travel options. In general, users are more willing to make the switch to a BSS, especially for short trip durations, when their typical mode of transport becomes more expensive. Bike-sharing also seems to be a more attractive option for certain user socio-demographic groups per mode and trip duration (age, education level, employment status, household income). Trip characteristics such as trip purpose and frequency were also found to affect the willingness to choose BSS. In general, BSS seem to mainly attract bus users and pedestrians, while car users may use BSS more sparingly, mainly for commuting purposes.

scholarly journals Post-COVID-19 travel behaviour patterns: impact on the willingness to pay of users of public transport and shared mobility services in Spain

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Samir Awad-Núñez ◽  
Raky Julio ◽  
Juan Gomez ◽  
Borja Moya-Gómez ◽  
Julián Sastre González
Keyword(s):  
Willingness To Pay ◽  
Public Transport ◽  
Nationwide Survey ◽  
Travel Behaviour ◽  
Revealed Preferences ◽  
Trip Purpose ◽  
Willingness To Adopt ◽  
Shared Mobility ◽  
Considerable Impact ◽  
Willingness To Use

Abstract Background The COVID-19 crisis has meant a significant change in the lifestyle of millions of people worldwide. With a lockdown that lasted almost three months and an impulse to new normality, transport demand has suffered a considerable impact in the Spanish case. It is mandatory to explore the effect of the pandemic on changes in travel behaviour in post-COVID-19 times. Methodology A nationwide survey was carried out during the lockdown in Spring 2020 to overview the recent changes. The survey collected both stated preferences (socio-demographic characteristics and mobility-related attributes), and revealed preferences (individuals’ habits, especially in the frequency of the trips according to the trip purpose, and opinions regarding the willingness and acceptability of these changes, and which actors would have to drive them, and how) of individuals. This paper aims to study and understand the willingness to adopt a set of measures to improve the safety conditions of public transport and shared mobility services against possible contagion from COVID-19 and the willingness to pay for them. Results The results obtained show that some measures, such as the increase of supply and vehicle disinfection, result in a greater willingness to use public transport in post-COVID-19 times. Similarly, the provision of covers for handlebars and steering wheels also significantly increases individuals’ willingness to use sharing services. However, respondents expect that these measures and improvements would be implemented but maintaining the same pre-COVID-19 prices. The results of this research might help operators deploy strategies to adopt their services and retain users.

scholarly journals Analysis of the Use and Perception of Shared Mobility: A Case Study in Western Australia

2021 ◽  
Vol 13 (16) ◽  
pp. 8766
Author(s):  
Craig Standing ◽  
Ferry Jie ◽  
Thi Le ◽  
Susan Standing ◽  
Sharon Biermann
Keyword(s):  
Western Australia ◽  
Sharing Economy ◽  
Transport Sector ◽  
Age Group ◽  
Factors Affecting ◽  
Number Of Children ◽  
Younger Age ◽  
Shared Mobility ◽  
Bike Sharing

The sharing economy has acquired a lot of media attention in recent years, and it has had a significant impact on the transport sector. This paper investigates the existing impact and potential of various forms of shared mobility, concentrating on the case study of Wanneroo, Western Australia. We adopted bibliometric analysis and visualization tools based on nearly 700 papers collected from the Scopus database to identify research clusters on shared mobility. Based on the clusters identified, we undertook a further content analysis to clarify the factors affecting the potential of different shared mobility modes. A specially designed questionnaire was applied for Wanneroo’s residents to explore their use of shared mobility, their future behaviour intentions, and their perspectives on the advantages and challenges of adoption. The empirical findings indicate that the majority of respondents who had used shared mobility options in the last 12 months belong to the low-mean-age group. The younger age group of participants also showed positive views on shared mobility and would consider using it in the future. Household size in terms of number of children did not make any impact on shared mobility options. Preference for shared mobility services is not related to income level. Bike sharing was less commonly used than the other forms of shared mobility.

scholarly journals Readiness of Indian Consumers Towards the Adoption of Shared Mobility

2019 ◽  
Vol 8 (11) ◽  
pp. 1782-1787
Keyword(s):  
Online Survey ◽  
Future Research ◽  
Metropolitan Cities ◽  
Study Results ◽  
Shared Mobility ◽  
Indian Consumers ◽  
Potential Benefits ◽  
Readiness To Adopt ◽  
Mode Of Transport ◽  
Willingness To Use

Public perceptions on shared mobility has substantially altered human mindsets in current times, gaining widespread popularity, particularly in the context of emerging economies struggling with increasing population density and shrinking infrastructure resources. The purpose of this study is to examine Indian consumers’ readiness towards the adoption of such shared mobility services in metropolitan cities. An online survey questionnaire was implemented to understand consumers’ readiness to adopt, commuting habits, perceived benefits, and challenges while consuming these services. A total of n=257 usable responses received from randomly selected consumers from 5 metro cities in India were critically analyzed for statistical significances. Findings suggest that in terms of readiness to adopt the consumers are showing a willingness to use shared mode of transport, major perceived key benefits are “cost”, “convenience” and “environmentally less polluting” while prominent challenges are “quality of service” and “customer satisfaction” when consumers engage with shared mobility services. Our study results will benefit public/private transport operators, policymakers, government agencies, and shared mobility consumers towards adoption, management, harnessing, and optimizing the potential benefits achieved through shared mobility strategies. The researchers propose an empirical exploration of consumers’ readiness to include multiple perception variables encompassing users from wider geographical contexts for gaining deeper insights into shared mobility adoption patterns as future research directions

How Much of Which Mode? Using Revealed Preference Data to Design Mobility As a Service Plans

2020 ◽  
Vol 2674 (7) ◽  
pp. 494-503 ◽  
Author(s):  
Daniel J. Reck ◽  
Kay W. Axhausen
Keyword(s):  
Public Transportation ◽  
Modular Design ◽  
Stated Preference ◽  
Revealed Preference ◽  
Central Question ◽  
Preference Data ◽  
Stated Preference Data ◽  
Shared Mobility ◽  
Bike Sharing ◽  
Season Tickets

Mobility as a service (MaaS) seeks to integrate emerging shared mobility modes with existing public transportation (PT). Decisive to its uptake will be attractive subscription plans that cater for heterogeneous mobility needs. Research on willingness to pay for such plans has commenced, yet remains divided on a central question: how much to include of which mode, and how? Complementing previous research building on stated preference data, in this study revealed preference data is used to analyze the viability of different subscription plan components (PT, car-sharing, bike-sharing, taxi), modes of inclusion (budgets in minutes and season tickets) and subscription cycles (weekly, monthly). PT season tickets are found to be viable for 83% of all respondents. Interestingly, the viability of minute budgets of car- and bike-sharing depends on subscription cycle length. Using a monthly subscription cycle, car-/bike-sharing appears viable to include in a bundle for 35%/31% of all respondents, respectively. Using a weekly subscription cycle, these figures drop to 1.4%/0.4%, respectively, as weekly variation in demand is much higher than monthly variation. In contrast to many current MaaS pilots, taxi use remains too infrequent to include as recurring credit in MaaS plans. Rather, pay-as-you-go is the economically more sensible option for consumers. This research therefore challenges the idea of all-inclusive mobility flat rates and suggests a more modular design.

scholarly journals Attraction of Bus Rapid Transit (BRT) for Car and Bike Owners

2020 ◽  
Vol 9 (1) ◽  
pp. 1-21
Author(s):  
Malik Muneeb Abid ◽  
Altaf Ayaz ◽  
Nabeel Nawaz ◽  
Muhammad Iqbal ◽  
Hongtai Yang ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Choice Model ◽  
Stated Preference ◽  
Multinomial Logistic Regression ◽  
Major Effect ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Vehicle Ownership ◽  
Trip Purpose ◽  
Residence Location

Abstract This study aims to find the potential of Bus Rapid Transit (BRT) to attract the vehicle owners from their personal vehicles i.e., motorcars and motorcycles. Stated preference survey (questionnaires) and interviews were conducted at BRT (Metro Bus) Stations for the prediction of the individuals shifting from their private vehicles to BRT. Questions were designed critically as per the requirements of the research related to numerous aspects of BRT use i.e., vehicle ownership of the travelers, driving license holder, demographic characteristics, choice to use BRT if the fare increases, trip purpose and their prior mode of transportation for the same trip. A total of 374 responses, as per the population of the study area (Islamabad-Rawalpindi, Pakistan), were collected. The Multinomial Logistic Regression (MNL) model has been employed for four categories of vehicle ownerships i.e., “Car owners using BRT”, “Bike owners using BRT”, “Both Car and Bike owners using BRT” and the last one which has been taken as reference category is “BRT users with no vehicle ownership”. The analysis indicated that BRT has attracted considerably private vehicle users specially the bike owners. Some socio-economic factors like income and residence location (accessibility) additionally have a major effect on the selection of BRT. In addition, it has been observed that fare increase can alter the mode choice of the BRT users and they will again prefer their own vehicles. The Travel choice model developed in the study can be very useful for policy makers and transport planners to enhance the BRT service and attraction, to mitigate traffic congestion and car ownership.

scholarly journals Application of Mathematical and Computational Methods to Identify Women’s Priorities in Transport

2021 ◽  
Vol 13 (5) ◽  
pp. 2845
Author(s):  
Sara Poveda-Reyes ◽  
Ashwani Kumar Malviya ◽  
Elena García-Jiménez ◽  
Gemma Dolores Molero ◽  
Maria Chiara Leva ◽  
...  
Keyword(s):  
Transport System ◽  
Autonomous Vehicles ◽  
Transport Sector ◽  
Sustainable Society ◽  
Analytic Hierarchy ◽  
Family Responsibilities ◽  
Factors Affecting ◽  
Participation Of Women ◽  
Bike Sharing ◽  
Safe Transport

It is well established that the transport sector is not an equalitarian sector. To develop a sustainable society, a more equalitarian and safe transport system for both users and transport sector employees is needed. This work prioritizes the needs and barriers previously identified as relevant among transport system users and employees for four different transport scenarios (railways, autonomous vehicles (AVs), bicycle-sharing services (BSSs), and employment). The aim of this paper is to prioritize the factors affecting women in these four transport scenarios with the help of a survey followed by the application of mathematical and computational algorithms based on the analytic hierarchy process (AHP) methodology. The identification of factors with higher influence in the fair participation of women in the transport sector will help transport planners, bike-sharing system owners, decision-makers, transport companies, and regulatory professionals to develop measures that could plausibly increase the proportion of women as users of BSSs, users of rail public transport, and AVs, as well as employees in the transport sector for a sustainable society. The results indicated that safety and security were the most challenging factors for railways. Weather, topography, and family responsibilities were shown to have a high influence on the use of BSSs. In the case of autonomous vehicles, the simultaneity and trust in the technology are the main opportunities to influence the acceptance of such vehicles. Finally, for transport employment, caring and parenting responsibilities were the factors that had the largest effect. Some differences in priorities were found for different profiles of women.

scholarly journals Bicycle Speed Modelling Considering Cyclist Characteristics, Vehicle Type and Track Attributes

2021 ◽  
Vol 12 (1) ◽  
pp. 43
Author(s):  
Xingchen Yan ◽  
Xiaofei Ye ◽  
Jun Chen ◽  
Tao Wang ◽  
Zhen Yang ◽  
...  
Keyword(s):  
Information Criterion ◽  
Lateral Position ◽  
Extreme Value ◽  
Optimal Number ◽  
Generalized Extreme Value ◽  
Vehicle Type ◽  
Lane Width ◽  
Bike Sharing ◽  
Mode Of Transport ◽  
Best Fit

Cycling is an increasingly popular mode of transport as part of the response to air pollution, urban congestion, and public health issues. The emergence of bike sharing programs and electric bicycles have also brought about notable changes in cycling characteristics, especially cycling speed. In order to provide a better basis for bicycle-related traffic simulations and theoretical derivations, the study aimed to seek the best distribution for bicycle riding speed considering cyclist characteristics, vehicle type, and track attributes. K-means clustering was performed on speed subcategories while selecting the optimal number of clustering using L method. Then, 15 common models were fitted to the grouped speed data and Kolmogorov–Smirnov test, Akaike information criterion, and Bayesian information criterion were applied to determine the best-fit distribution. The following results were acquired: (1) bicycle speed sub-clusters generated by the combinations of bicycle type, bicycle lateral position, gender, age, and lane width were grouped into three clusters; (2) Among the common distribution, generalized extreme value, gamma and lognormal were the top three models to fit the three clusters of speed dataset; and (3) integrating stability and overall performance, the generalized extreme value was the best-fit distribution of bicycle speed.

scholarly journals Factors Affecting Transport Sector CO2 Emissions in Eastern European Countries: An LMDI Decomposition Analysis

2021 ◽  
Vol 5 (1) ◽  
pp. 25
Author(s):  
Souhir Abbes
Keyword(s):  
Co2 Emissions ◽  
Decomposition Analysis ◽  
European Countries ◽  
Transport Systems ◽  
Transport Sector ◽  
Eastern European ◽  
Factors Affecting ◽  
Mode Of Transport ◽  
Eastern European Countries ◽  
Carbon Dioxide Co2

In this paper, we use the Logarithmic Mean Divisia Index (LMDI) to apply decomposition analysis on Carbon Dioxide (CO2) emissions from transport systems in seven Eastern European countries over the period between 2005 and 2015. The results show that “economic activity” is the main factor responsible for CO2 emissions in all the countries in our sample. The second factor causing increase in CO2 emissions is the “fuel mix” by type and mode of transport. Modal share and energy intensity affect the growth of CO2 emissions but in a less significant way. Finally, only the “population” and “emission coefficient” variables slowed the growth of these emissions in all the countries, except for Slovenia, where the population variable was found to be responsible for the increase in CO2 emissions. These results not only contribute to advancing the existing literature but also provide important policy recommendations.

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