scholarly journals Research on Travel Behavior with Car Sharing under Smart City Conditions

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhimin Tao ◽  
Quan Nie ◽  
Weibin Zhang
Keyword(s):  
Influencing Factors ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Logit Model ◽  
Mixed Logit ◽  
Sustainable Transportation ◽  
Utilization Rate ◽  
Car Sharing ◽  
Reduce Emissions ◽  
Save Energy

As a sustainable transportation system, car-sharing schemes have been attracting increasing attention. A large amount of research and practice has proved that the application and promotion of car sharing can help reduce the number of private cars purchased, increase the utilization rate of automobiles, effectively alleviate traffic congestion, save energy, and reduce emissions. Therefore, research on car sharing is imperative. The logit model is widely used in studies on car sharing and is an effective tool for analyzing traffic problems. This study first introduces the status of research into car sharing and analyzes the potential users and market prospects for shared cars. The study then provides the results from a questionnaire survey in Nanjing, China, to obtain sample data. Finally, a mixed logit model is established to analyze the influencing factors of car-sharing selection behavior. The results show that factors such as an individual’s housing situation and income significantly affect car-sharing decisions and that respondents who choose to use shared cars are relatively similar to commuters. The main contribution of this study is to use empirical analysis to determine the key influencing factors of car-sharing behavior in China and to provide practical insights for commercial practitioners and traffic planners.

scholarly journals Understanding Better the Influential Factors of Commuters’ Multi-Day Travel Behavior: Evidence from Shanghai, China

2020 ◽  
Vol 12 (1) ◽  
pp. 376 ◽  
Author(s):  
Xiaoning Liu ◽  
Linjie Gao ◽  
Anning Ni ◽  
Nan Ye
Keyword(s):  
Public Transport ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Logit Model ◽  
Mode Choice ◽  
Transportation Systems ◽  
Sustainable Transportation ◽  
Travel Mode ◽  
Transportation Modes ◽  
Main Factors

Alleviating traffic congestion and developing sustainable transportation systems in a city can be assisted by promoting environmentally friendly transportation modes such as walking, cycling, and public transport. Strategies for promoting these desirable transportation modes can be identified based on a sound understanding of how commuters choose travel modes. In this study, multi-day commuting travel mode data was used to explore factors that influenced commute mode choice. A multinomial logit model and a binary logit model were proposed to study commuter travel behavior. The results showed the following. (1) Age, gender, and marriage indirectly influence the commute mode choice; (2) The cost of travel mode has little effect on commute mode choice; (3) The probability of commute mode change mainly influences the car mode choice; (4) The number of transfer times and the distance to the nearest public transport stations are main factors that restrict commuters from choosing public transport; (5) The number of bicycles in the family and commute distance are main factors that restrict commuters from choosing cycling for commuting. Based on these findings, several potential measures are demonstrated to policymakers and transportation planners to alleviate traffic congestion and develop sustainable transportation systems.

Analyzing Bus Passengers’ Satisfaction in Dhaka using Discrete Choice Models

2019 ◽  
Vol 2673 (2) ◽  
pp. 758-768 ◽  
Author(s):  
Mohammed Quddus ◽  
Farzana Rahman ◽  
Fredrik Monsuur ◽  
Juan de Ona ◽  
Marcus Enoch
Keyword(s):  
Service Quality ◽  
Influencing Factors ◽  
Transport System ◽  
Discrete Choice ◽  
Logit Model ◽  
Mixed Logit ◽  
Multinomial Logit ◽  
Discrete Choice Models ◽  
Bus Service ◽  
Bus Transport

The bus transport system in Dhaka is unsafe, unreliable, inefficient and struggles to cope with the day-to-day mobility of its massive population. Consequently, measuring the performance of bus service quality (SQ) from the customers’ perspective is fundamental in planning a sustainable bus transport system for Dhaka, and in developing the associated policies and regulations. Although there are some studies addressing the performance of the public transport systems in Bangladesh, little research considers how service quality attributes affect passengers’ satisfaction. The purpose of this paper is to examine a relationship between bus service quality and its influencing factors in Dhaka. Using a customer satisfaction survey with a sample size of 955, discrete choice models (e.g., multinomial logit and mixed logit) have been developed. The results indicate that the inhabitants, as expected, are dissatisfied with their bus services (less than 10% rated service quality as “excellent/good”) and service attributes such as comfort level and driver skills were found to be the most important contributors toward the “poor” and “very poor” perceptions of service quality. Other influencing factors are punctuality, safety, entry and exit processes, waiting times, and vehicle condition. One surprising finding was that the multinomial logit model provides better goodness-of-fit for the sample data relative to the mixed logit model implying that bus users in Dhaka may represent a homogeneous group as they do have access to other modes. Findings from this study can be utilized to develop policies and regulations to improve bus transport in Dhaka.

Box-Cox Mixed Logit Model for Travel Behavior Analysis

2010 ◽  
Author(s):  
Alfonso Orro ◽  
Margarita Novales ◽  
Francisco G. Benitez ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
...  
Keyword(s):  
Behavior Analysis ◽  
Travel Behavior ◽  
Logit Model ◽  
Mixed Logit ◽  
Mixed Logit Model

scholarly journals Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan

2019 ◽  
Vol 11 (3) ◽  
pp. 808 ◽  
Author(s):  
Irfan Ullah ◽  
Kai Liu ◽  
Tran Vanduy
Keyword(s):  
Traffic Congestion ◽  
Logit Model ◽  
Urban Areas ◽  
Stated Preference ◽  
Ghg Emissions ◽  
Multinomial Logit Model ◽  
Demographic Characteristics ◽  
Car Ownership ◽  
Nested Logit ◽  
Car Sharing

In recent years, car sharing has emerged as a novel alternative to private car ownership in urban areas worldwide. Potential benefits of this system include improved mobility and reduced congestion, vehicle ownership, parking issues, and greenhouse gas (GHG) emissions. This study aimed to investigate travelers’ acceptance of car sharing systems through a stated preference survey in the city of Peshawar, Pakistan. The questionnaires were distributed online via a Google form. Questions were designed from numerous aspects of car sharing systems, such as awareness of car sharing systems, attributes related to travel modes in the choice set, and demographic characteristics. A total of 453 valid responses were received. The Multinomial and Nested Logit models were employed for evaluation and analysis of survey responses. Demographic characteristics including gender, job, and income were found to be significant. Service attributes including travel time, travel cost, registration fees, and capital cost, were also significant. The multinomial logit model based on both car-owners and non-car-owners fit a little better than the nested logit model. Our findings in the present study could be beneficial for transport planners and policy makers to timely implement car sharing systems in cities in order to mitigate increased car ownership and traffic congestion.

scholarly journals Transportation Network Companies: Drivers’ Perceptions of Ride-Sharing Regarding Climate Change and Extreme Weather

Climate ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 131
Author(s):  
Sandra Olivia Brugger ◽  
Theresa Watts
Keyword(s):  
Climate Change ◽  
Traffic Congestion ◽  
Transportation Network ◽  
Extreme Weather ◽  
Sustainable Transportation ◽  
Extreme Weather Events ◽  
Weather Events ◽  
Transportation Sector ◽  
Reduce Emissions ◽  
Transportation Network Companies

The transportation sector is a major factor contributing to climate change. Transportation Network Companies (TNC) may become part of solutions to reduce emissions and their drivers play an important role in doing so. This study aims to understand TNC driver’s perceptions of climate change, to understand how climate change and extreme weather affects their business and how they see their role in contributing to or mitigating climate change. We conducted an in-person survey of TNC drivers in Nevada, USA, and analyzed the derived information with descriptive statistics and content analysis. Among the 75 TNC drivers, almost half believe climate change is happening and is caused by human activities. We found TNC drivers and their business are affected by extreme weather events. Currently the drivers do not see their role in mitigating climate change and lack the awareness of green initiatives already in place by TNCs’. We conclude that TNCs could increase their climate change responsibility by providing driver incentives for cars with reduced emissions or by geographically expanding customer incentives for using sustainable TNC options such as car-pooling. By doing so, TNC may play a role in reducing global greenhouse gas emissions and traffic congestion; thus, contributing to improved sustainable transportation practices.

scholarly journals Carsharing-facilitating neighbourhood choice: a mixed logit model

2020 ◽  
Author(s):  
Juan Wang ◽  
Gamze Z. Dane ◽  
Harry J. P. Timmermans
Keyword(s):  
Logit Model ◽  
Urban Areas ◽  
Mixed Logit ◽  
Implementation Strategies ◽  
Sustainable Transportation ◽  
Household Composition ◽  
Mixed Logit Model ◽  
Housing Type ◽  
Housing Costs ◽  
Private Car

Abstract Carsharing-facilitating neighbourhood is an emerging concept in urban development that combines carsharing, sustainable transportation-residential planning, and attractive housing to reduce private car use and improve neighbourhood quality. To investigate residents’ preferences for such neighbourhoods, a stated choice experiment was designed that systematically varied attributes of carsharing-facilitating neighbourhoods to elicit their utility for people with a particular socio-demographic profile. The survey was conducted among residents who currently live in densely populated urban areas in The Netherlands. In total, 610 valid responses were obtained for analysis. To derive the utility of carsharing-facilitating neighbourhoods of a particular profile, a mixed logit model was estimated. Results indicate that the utility of a carsharing-facilitating neighbourhood primarily depends on carsharing cost, required carsharing booking time, green space density, housing costs, housing type, housing size and housing building year. Besides, the utility varies with socio-demographic characteristics, such as age, household composition, net monthly income, work status and education level. The estimated results can help policymakers and real estate developers understand the contribution of particular factors to the utility of carsharing-facilitating neighbourhoods, and determine target groups to develop implementation strategies.

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.

Parking lot allocation model considering conversion between dynamic and static traffic

2021 ◽  
pp. 1-11
Author(s):  
Zhouhu Xie ◽  
Xianyu Wu ◽  
Jingxue Guo ◽  
Zhenxi Zhan
Keyword(s):  
Travel Time ◽  
Traffic Congestion ◽  
Sustainable Transportation ◽  
Distribution Model ◽  
Utilization Rate ◽  
Dynamic Traffic ◽  
Allocation Model ◽  
Parking Lots ◽  
The Road ◽  
Parking Lot

Nowadays, parking spaces are scarce resources in urban cities. Travelers often spend too much time looking for available parking spaces, which increases travel time of travelers and results in additional traffic congestion. With the innovation and application of intelligent parking technology, parking spaces can be booked in the system in advance through mobile phone, which will greatly reduce the time for drivers to cruise and search for parking spaces. Targeted at the serious waste of parking resources, traffic congestion caused by too intensive parking demand in time and space, a parking allocation model considering the ability of dynamic and static traffic conversion is established with the goal of minimizing the total travel time of the travelers. Based on the dynamic traffic distribution model, considering the constraints of capacity of the road link, parking lot entrance and the number of the parking spaces in parking lot, the dynamic and static traffic is combined by considering the parking lot connection section as a conversion link to be added into the traffic network. And the solution method based on particle swarm optimization is proposed. Experimental results on a case (Beijing Chaoyang Joy City and surrounding parking lots) show that our parking allocation model works satisfactorily by effectively reducing the travel time of travelers and increase customer arrivals in shopping centers. From the point of view of traffic managers, the model can make the parking occupancy of all parking lots more balanced, which indicates that the model can help to better coordinate the available parking resources. In summary, the model proposed in this paper can not only divert the flow beyond the capacity of the road facilities at the connection of the parking lot, but also balance the utilization rate of the surrounding parking resources and reduce the dynamic traffic pressure, it is a proper way to develop the sustainable transportation.

Sign in / Sign up

Export Citation Format

Share Document