Understanding Electric Bicycle Users’ Mode Choice Preference under Uncertainty: A Case Study of Shanghai

The electric bicycle is considered as an environmentally friendly mode, the market share of which is growing fast worldwide. Even in metropolitan areas which have a well-developed public transportation system, the usage of electric bicycles continues to grow. Compared with bicycles, the power transferred from the battery enables users to ride faster and have long-distance trips. However, research on electric bicycle travel behavior is inadequate. This paper proposes a cumulative prospect theory (CPT) framework to describe electric bicycle users’ mode choice behavior. Different from the long-standing use of utility theory, CPT considers travelers’ inconsistent risk attitudes. Six socioeconomic characteristics are chosen to discriminate conservative and adventurous electric bicycle users. Then, a CPT model is established which includes two parts: travel time and travel cost. We calculate the comprehensive cumulative prospect value (CPV) for four transportation modes (electric bicycle, bus, subway and private car) to predict electric bicycle users’ mode choice preference under different travel distance ranges. The model is further validated via survey data.

Utilization of Electric Vehicles for Vehicle-to-Grid Services: Progress and Perspectives

With every passing second, we witness the effect of the global environmental impact of fossil fuels and carbon emissions, to which nations across the globe respond by coming up with ambitious goals to become carbon-free and energy-efficient. At the same time, electric vehicles (EVs) are developed as a possible solution to reach this ambitious goal of making a cleaner environment and facilitating smarter transportation modes. This excellent idea of shifting towards an entirely EV-based mobility industry and economy results in a range of issues that need to be addressed. The issues range from ramping up the electricity generation for the projected increase in consumption to developing an infrastructure that is large enough to support the higher demand for electricity that arises due to the market penetration of EVs. Vehicle to grid (V2G) is a concept that is largely in a testing phase in the current scenario. However, it appears to offer a solution to the issues created by a mobility sector that the constantly growing EV fleet will dominate. Furthermore, the integration of EVs with the grid seems to offer various cost-wise and environment-wise benefits while assisting the grid by tapping into the idle energy of parked EVs during peak hours. This review aims to present some of the possible ancillary service potentials of such a system while also discussing the potential challenges, impacts, and future market penetration capabilities of V2G technology.

Analisis Pemilihan Moda Transportasi Mahasiswa Universitas Jember Menuju Kampus

The use of private transportation modes to the Tegal Boto campus, Jember University has increased. The increase in the volume of private vehicles will cause congestion if it is not regulated properly. Therefore, an analysis related to the selection of student transportation modes is needed to determine the tendency of students to choose transportation modes. The results of this study will be used as a first step in the improvement of transportation facilities in the area around the Tegal Boto campus, Universitas Jember. Analysis of the factors that influence students in choosing the mode of transportation will be carried out in this study. In addition, the priority of choosing the mode of transportation used by students to the Tegal Boto campus, Jember University will also be known. Research data will be obtained from questionnaires and documents from the University of Jember. The data will be analyzed using the Analytical Hierarchy Process (AHP). The results of the AHP analysis show that the factors that dominate the choice of student transportation modes to the Tegal Boto campus, Jember University are the time factor (33%). Meanwhile, the student's priority modes of transportation are motorbikes (32.7%). The choice of motorcycle mode has the largest percentage due to it is based on consideration of the time factor. Students need transportation modes that have high flexibility such as motorbikes so that the time needed to reach campus is shorter.

Integration of Different Mobility Behaviors and Intermodal Trips in MATSim

MATSim is an open-source simulation framework for mesoscopic traffic simulations that has gained popularity in recent years. In this paper, we present a MATSim model for the city of Vienna, with a particular emphasis on the intermodal routing framework used to create agent trips, and the development of a utility function to specify different agents’ mode preferences. To create agent activity chains, we use mobility diaries from the national transportation survey in Austria and disaggregate the available geospatial information to best fit the reported travel times. The novelty of the intermodal framework is the ability to create trips that do not consist of only one mode of transportation, but to also include bicycle, car, and demand-responsive transport (e.g., cab, car sharing) trips in combination with public transportation. To represent the different mobility behaviors of agents, we divide the population into groups and assign them different utility functions for transportation modes according to their socio-demographic characteristics. After presenting the validation of the model, we discuss ways to improve the model.

Influence of Trust on Customer Engagement and Intention to Reuse Ferry Transportation Modes Lembar – Padangbai

This study wants to examine buying intention factors that are influenced by trust variables and customer engagement. The study aims to find out the influence of trust on the intention of reusing the mode of transportation of the Lembar-Padangbai crossing. As well as seeing the indirect influence of trust on the intention of reusing through customer engagement on the mode of transportation crossing Lembar-Padangbai. This research was conducted on the Lembar-Padangbai crossing mode in 2021 with a population of 223,264,600 passengers. The sample number of 100 people using the formula Slovin and purposive sampling techniques. Data collection methods use questionnaires and data analysis tools using SEM analysis with the Help of the SMART-PLS Program. The results showed that trusts have a significant direct effect on reusing intentions, and customer engagement can affect the influence of trust on the intention of reusing. The contribution of the trust's direct influence on the intention of reusing is 70.5%, while the contribution of trust influence through customer engagement to the intention of reusing is 34.9%. Advice to the company to maintain the level of trust and customer engagement to increase customer intentions to reuse ferry services mode Lembar-Padangbai.

Air Quality and Active Transportation Modes: A Spatiotemporal Concurrence Analysis in Guadalajara, Mexico

The protection of pedestrians, cyclists, and public transportation passengers from environmental pollution is a global concern. This study fills the gap in the existing knowledge of temporal exposure to air pollution in Latin American metropolises. The paper proposes a methodology addressing the relationship between two objects of study, i.e., the users of active modes of transport and air quality. This new methodology assesses the spatiotemporal concurrence of both objects with statistical analysis of large open-access databases, to promote healthy and sustainable urban mobility. The application of the empirical methodology estimated the number of users of active transportation modes exposed to poor air quality episodes in the Guadalajara metropolitan area (Mexico) in 2019. The study considered two pollutants, ozone (O3) and particulate matter (PM10), and two active modes, cycling and bus rapid transit (BRT). Spatiotemporal analyses were carried out with geographic information systems, as well as with numeric computing platforms. First, big data were used to count the number of users for each mode within the area of influence of the air quality monitoring stations. Second, the number of air pollution episodes was obtained using the air quality index proposed by the Environmental Protection Agency (USA) on an hourly basis. Third, the spatiotemporal concurrence between air quality episodes and active mode users was calculated. In particular, the air quality monitoring data from the Jalisco Atmospheric Monitoring System were compared to users of the public bicycle share system, known as MiBici, and of a bus rapid transit line, known as Mi Macro Calzada. The results showed that the number of cyclists and BRT passengers exposed to poor air quality episodes was considerable in absolute terms, that is, 208,660 users, while it was marginal when compared to the total number of users exposed to better air quality categories in the study area, who represented only 10%. To apply the results at the metropolitan scale, the spatial distribution of the air quality monitoring system should be improved, as well as the availability of data on pedestrians and conventional bus passengers.

Impacts of Digital Transformation on Mobility and Transportation Sector

It is indeed a fact that the digital transformation has been changed rapidly in the last few years, and the appearance of the COVID-19 pandemic played a significant role in accelerating the wheel toward intelligent and digital transformation in all sectors; some countries have been recovered quickly from the pandemic and managed to eliminate most of the obstacles while others still struggling. The public transport sector PT during COVID-19 pandemic was affected directly, which is an inevitable result that disrupted the system. This paper will investigate through an online questionnaire survey the effect of the COVID-19 pandemic and the digital transformation on transportation modes and activities by evaluating the current situation and assessing future transportation sustainability and whether it will continue to recover appropriately. The research will identify user's awareness, attitude, and behavior toward PT before and during COVID-19, as the trend has been in favor of private vehicles and avoidance of PT, therefore increasing confidence in PT requires decisive action from governments, policymakers, and planners to keep pace with the intelligent transformation. Keywords; COVID19, transportation, sustainability, digital transformation, transportation modes, and activities.

Changes in Transportation During the COVID-19 Pandemic: Results From a Survey of Middle-Aged and Older Floridians

The pandemic’s numerous effects on everyday life include reductions in driving and changes in the use of other transportation modes, like getting rides from family and friends, walking, and biking. Aside from broad patterns, however, little is known about these changes, including how they affected different groups of the population and how they felt about them. Our study addresses these issues using data collected from an online survey of over 4,000 Floridians aged 50 or older, conducted between December 2020 and April 2021 and funded by the Florida Department of Transportation to support its aging road user program, Safe Mobility for Life. Changes in driving and in rides from family and friends were more striking than those in other transportation modes. Nearly 30 percent of respondents decreased their driving during the pandemic, while 20 percent got fewer rides from family and 25 percent got fewer rides from friends. In contrast, only 11 percent decreased their walking, and the same percentage increased it. Less common were changes in biking, with percent 7 decreasing and only 4 percent increasing it. Multivariate analyses revealed that these changes were influenced by gender, race, age, socioeconomic status, and health. Further insight was gained from analysis of an open-ended item, revealing positive and negative assessments of the changes. Positive assessments centered on feeling satisfied with working at home, spending more time outdoors, having more free time, and saving money. Negative assessments centered on social isolation, dissatisfaction with government responses to the pandemic, and reduced transportation options.