A model that anticipates the passenger flow on trains will help passengers to avoid overcrowded trains in their journey planning. Such a model will also help rail industry to understand the current use of train capacity and plan the distribution of rolling stock, personnel and facilities. However, the existing studies only developed the models for forecasting the passenger flow in stations, which cannot

Fare evasion is currently a significant concern for public transport systems worldwide. Evasion causes huge economic losses to operators and cities, but also negatively influences the system’s security perceptions. Despite its importance, there are few efforts to understand which observable and non-observable factors motivate individuals to evade fares in a public transport system. Most studies dealing

Freight transportation network is an essential backbone for supporting the industrial activities and economic developments of the nation and global trade. In this paper, we extend the network-based measures recently developed by Xu et al. (2018) for assessing freight transportation network redundancy – an important component in making freight transportation networks more robust and resilient against

An agent-based, multichannel simulation of a downtown area reveals the impacts of both time-shifting traffic demand with congestion pricing, and supplying extra capacity by banning left turns. The downtown street network was idealized, and loosely resembles central Los Angeles. On the demand-side, prices were set based on time-of-day and distance traveled. On the supply side, left-turn maneuvers were

Activity resource allocation or dispersion (e.g., employment, education), transport network improvement, and property development, affect the urban community in different ways. To illuminate their intricate relations, we study the perspectives of three groups of stakeholders: i) households with heterogeneous members seeking a common residence to optimize their proximity to activity resources; ii) transport

Vehicle automation is expected to reduce the cost of shared demand-responsive transport (DRT) services. In this context, questions regarding the conditions under which fixed-route public transport can be replaced with shared on-demand services have emerged. The expected increase in competitiveness between fixed-route and on-demand services requires the development of frameworks that enable the analysis

Dynamic traffic demand has been a longstanding challenge for the conventional transit system design and operation. The recent development of autonomous vehicles (AVs) makes it increasingly realistic to develop the next generation of transportation systems with the potential to improve operational performance and flexibility. In this study, we propose an innovative transit system with autonomous modular

The purpose of this article is to provide a case for advancing methods in Arctic shipping towards a more complete approach. A methods assessment was used to identify core concepts in Arctic shipping and to develop a modelling approach that integrates together policy, alternative fuels, emissions and microeconomic theory - enabling the exploration of financial and implicit damage costs, opportunities

The transportation and mobility landscape has changed at exponential rates in recent years. This is particularly evident in the spread and use of micromobility, primarily via e-scooters, in the United States. It is widely agreed that municipalities need to regulate the deployment of this new form of mobility to capture some of the benefits that these devices provide but also mitigate the impact and

Most routing decisions assume that routing costs are modelled as a weighted sum of total distance and time traveled by delivery vehicles. However, this assumption does not apply for logistics operations in cities with significant road grades. We study an extension to the VRP model that plans vehicle routes considering the combined impact of detailed road grade information and vehicle load-weight in

Public transit offers older adults an important alternative travel mode for accessing social activity destinations. Given the growing size and socioeconomic diversity of the older population, transportation planners should consider how current urban transit systems can better meet their needs. In this study, we examine the time-varying accessibility to senior centers by public transit in each census

A major uncertainty in the diffusion of autonomous vehicles is the split between ownership and automated mobility services. We calculate total cost of ownership and use (TCOU) to compare four alternatives: private manually driven vehicles, private automated vehicles, automated on-demand exclusive use mobility services (ridesourcing) and automated on-demand pooled mobility services (ridesplitting),

The purpose of this study is to define a holistic and effective architectural approach for implementing a safe and profitable pilot UAM airport shuttling system, which is extensible to the best available data at a given time. The proposition of this research is to leverage a system of autonomous UAVs capable of vertical takeoff and landing (VTOL) to transport passengers and cargo between airports and

The research presented in this paper analyzed two data sets Revealed Preference (RP) and Stated Preference (SP), obtained with a new travel diary and mode choice survey. This survey, called Mobility Jakarta, combined both RP and SP parts and was conducted in the Greater Jakarta region. This is the first survey that collected responses from a substantial sample of the whole metropolitan area population

Ride-hailing services are increasingly consolidating their role in the transport sector in low- and middle-income countries where there is limited investment in public transport. However, much is unknown about the determinants of ride-hailing service use and quality of the service. The present study investigates the direct and indirect influences of perceived quality of ride-hailing service including

Large mobility gaps exist between people with and without disabilities. People with special needs are heavily dependent upon public transportation for their essential needs. Autonomous vehicles (AVs) have the potential to increase mobility for these populations. However, they have been largely absent from AV perception research. To fill this gap, we analyzed their perceptions, willingness to use, and

This paper traces the plunge and rebound of the taxi market in Shenzhen, China through the COVID-19 lockdown. A four-week taxi GPS trajectory data set is collected in the first quarter of 2020, which covers the period of lockdown and phased reopening in the city. We conduct a spatiotemporal analysis of taxi demand using the data, and then select taxis that continued to operate through the analysis

The factors influencing trip departure time are taking more importance in urban planning practice since congestion is increasingly being addressed by travel demand management (TDM) strategies. In this paper we formulate and estimate a joint travel mode-departure time model for commuting trips using combined revealed preference (RP) and stated choice (SC) data. The RP data considered nine alternative

The emergence of demand responsive transport (DRT) services is restructuring mobility in the urban universe. They provide a high level of service and in many cases compete with public transportation modes. However, in less dense areas, where conventional public transit (CPT) services such as buses are inefficient and costly, DRT services could be an alternative that is both profitable and provides

The changes in public transport ridership can be quantified as fare elasticities that are useful inputs to inform planning and policymaking, particularly for Bus Rapid Transit (BRT) systems in developing city contexts. This research provides new evidence to the limited literature in the Global South about revealed preferences fare elasticity from disaggregated data and improves our knowledge of BRT

Cycling infrastructure development is an effective but expensive urban policy to encourage people to use bicycles. Although people usually prefer infrastructure with high cycling priority, authorities in some cities have focused policies on adapting part of current motor vehicle infrastructure to increase the length and coverage of bicycle infrastructure at the road level, which can help to lower infrastructure

In recent years, the topic of air quality has grown in prominence due to an improved understanding of the detrimental impacts of local air pollutants on human health and wellbeing. The introduction of Urban Vehicle Access Regulations such as Low Emission Zones represents one policy that is being actively considered in city governance to address this problem, whereby the access of highly polluting vehicles

With the rapid development of high-speed rail (HSR) systems in China, the evaluation of the accessibility of HSR has become an important issue, especially for daily accessibility, or daytime round-trip travel (one-way journeys taking within 4 h), as this form of travel has significantly redefined the concept of the business trips are. This paper presents an improved approach to measuring potential-based

Station-based bike-sharing systems provide users with inexpensive one-way bike rides. A major challenge for operators of BSSs lies in redistributing bikes so that users may take the bike rides they request. Existing research on tactical planning proposes optimization models for designing redistribution plans that a vehicle fleet implements on a daily basis. The purpose of this paper is to identify

This study explores a tourists’ preference for tour mode bundle, defined as a set of preferable travel modes for multiple trips in a tour, under Mobility-as-a-Service (MaaS). In the context of tourism, MaaS could improve transportation sustainability by providing integrated information about sustainable transportation modes. To develop a systematic understanding of tourists’ preference for tour mode

We use state-of-the art estimation approaches to obtain mode-specific values of travel time savings (VTTS) based on pooled RP/SP travel choice data of Zurich workers. Unlike the large majority of time valuation studies, we also have data on the respondents’ time-use and expenditure allocation, which enables us to estimate their value of leisure (VoL),i.e. the opportunity value of liberated time when

This paper investigates the effects of the built environment and weather on the demands for transportation network companies (TNC) in Toronto. The research is based on a historical dataset of Uber trips from September 2016 to September 2018 in Toronto. A wide range of built environments, sociodemographic, and weather data are generated at the dissemination area-level and fused with the monthly aggregated

The COVID-19 pandemic led to the adoption of many unprecedented measures to slow down the spread of the virus. Such measures have greatly impacted the entire transportation system and individuals’ travel behaviors. This paper evaluates the impacts of COVID-19 related policies, including the lockdown and the first lockdown ease on the usage of public bicycle share in London using interrupted time series

Applications and demand for airborne drone operations, including urban air mobility, are growing rapidly in regional and metropolitan areas. However, the expected traffic volumes in cities will make it impossible to operate drones in uncontrolled airspace. Despite the wealth of literature on pricing transport infrastructure usage showing that variable pricing is the optimal way for charging for road

This paper measures a) whether the reverse commute – a commute where a worker travels from a home location in the city to a workplace location in the suburbs – is characterized by a uniquely disparate socioeconomic and demographic space between home and workplace, and b) what role greater fragmentation between municipalities in a region might play in this theoretically inequitable circumstance. We

Ride-sourcing services are continuously gaining popularity among urban travelers. Due to their flexibility and responsiveness, transit agencies spot chances of collaborating with Transportation Network Companies (TNCs) in order to improve service quality, promote transit usage, and meanwhile lower their operational cost. In this paper, we studied an integrated transit system where ride-sourcing services

There have been various initiatives to consolidate freight deliveries. Researchers have been primarily concerned with assessing the impact upon freight carriers. This study addresses a subject that has received limited attention: Receiver-led delivery consolidation (RLC) policy. The study aims to characterise freight receivers’ preferences for a RLC service and delve more deeply into the most preferred

The emerging electric vehicle (EV) industry has received enormous support from global governments for its advantages in energy conservation and carbon emission reduction. This paper focuses on the development of the EV industry in China and empirically examines the impact of the government’s incentives on EV adoption in both the public and private domains using data from 61 cities spanning 2009–2018

The availability of advisory warnings via Vehicle-to-Vehicle and Vehicle-to-Infrastructure communication in the connected environments is expected to gradually increase over the next few years. Much of the research on advisory warning systems have examined driving behaviour in response to unexpected driving hazards; however, very little research has been conducted on common driving interactions such

Carsharing is considered an important alternative to the private car. Based on the studies in Europe and North America, it is agreed that carsharing can reduce private car ownership. However, due to the differences in the development stages and characteristics of cities and transportation, it is unknown whether carsharing can also decrease car ownership in China, which results in a gap in the evaluation

This study examines how a transportation policy enabling free subway travel for older adults affects their travel behavior. It improves upon previous research by identifying the causal effects of a fare-free transit policy for older adults on a wider range of travel behavior. Using a regression discontinuity research design, this study investigates how eligibility for fare-free subway rides (the age-65

A central feature of Mobility as a Service (MaaS) is the design of subscription plans, also known as mobility bundles. Despite the recognition of the importance of MaaS bundles compared to the Pay as you Go (PAYG) option, there is very little guidance in the literature on what a bundle that is attractive for users and financially viable for the operator might look like. With very few actual MaaS offers

Most of Flying Adhoc Networks (FANETs) applications consume GPS based location information for their services, which are also shared in real-time with other UAVs, ground control stations and centralized service operators. GPS spoofing is among the most popular attacks in FANETs that lead the Global Navigation Satellite System (GNSS) receivers to generate false navigation solutions. Several anti-spoofing

This paper derives a multiple discrete–continuous (MDC) choice model formulation with constraints that specify upper bounds on consumption. To do so, considering the conventional utility maximization problem of a consumer, the Karush-Kuhn-Tucker (KKT) conditions are laid out for the MDC model with a general set of linear constraints that include inequalities. Subsequently, we derive a model with constraints

To reduce the externalities associated with the excessive use of carbon-fueled private vehicles, transport authorities and operators have recently been promoting one-way electric car-sharing services (ECS). Several studies attempted to identify the user acceptance and profiles of various car-sharing services, but there is a lack of consistent evidence of the psychological drivers of user acceptance

Large-scale events bring tourists to host cities and increase the density of people circulating therein. Pokémon Go Safari Zone events have been hugely successful at attracting tourists to cities around the world. For example, in one five-day Pokémon event in Tainan, Taiwan in 2018, the daily log-in count was 250,000 per day on average, generating an estimated US$50 million in revenue for the city

Bike-sharing schemes (BSS) have now been implemented in many cities worldwide. Research has so far focused mainly on operating BSS, while closed BSS and comprehensive national overviews have attracted much less attention. This exploratory study is novel in that it compiles data from all of the station-based BSS ever implemented in Spain, allowing an in-depth evaluation of the evolution of the number

According to Baumol’s Cost Disease in some productive activities that are labor intensive and where labor saving technological change is low or absent, labor productivity tends to be stagnant. However, since these sectors compete for the same inputs, their wage bill increases according to the average productivity growth in the economy. As a consequence, production in stagnant sectors becomes more expensive

On-demand mobility services – autonomous as well as human-driven – promise to transform transportation and urban living. Yet, designing such services involves an array of challenges: from demand data acquisition and processing, to building a versatile simulation framework, to finally evaluating a variety of service configurations and making recommendations. This article illustrates the process of designing

In recent years, natural disasters happening over the world pose severe challenges to emergency evacuation systems, especially for highly-populated urban community areas. Underground spaces not systematically utilized yet provide a new development direction for the construction of emergency shelters. Emergency response for mitigating negative impacts of disasters calls for well-designed shelter system

Carpool lanes that are not filled to capacity can spell trouble, particularly when deployed on narrow freeways with only 3 lanes in each travel direction. Two alternative treatments for underused carpool lanes were evaluated with this in mind. Both can boost discharge flows by opening a portion of the carpool lane to all freeway traffic in the vicinity of a bottleneck. The simpler of the two alternatives

Unlike many third-party data sources, targeted marketing (TM) data constitute holistic datasets, with disaggregate variables – ranging from socioeconomic and demographic characteristics to attitudes, propensities, and behaviors – available for most individuals in the population. These qualities, along with ease of accessibility and relatively low acquisition costs, make TM data an attractive source

With unique datasets, this paper studies the distributional impact of high-speed rail (HSR) on industrial developments by examining the house price premium of industrial parks in two important core-periphery city pairs of China: Shanghai-Suzhou and Beijing-Langfang. We find that in core cities, the premium of service industrial parks (SIPs) has grown faster near HSR stations, while that of manufacturing

The usage of shared e-scooters, dockless e-bikes, and docked bicycles are correlated with weather conditions to examine the relative impact on each mode, specifically number of trips taken, their duration, and distance. Data is obtained from the City of Austin data portal. Rain, temperature and wind conditions are obtained from NOAA and a variety of analysis methods are applied, specifically Prais-Winsten

In comparing the costs between the Northern Sea Route (NSR) and the Suez Canal Route (SCR), the NSR icebreaking tariffs are critical. A balance question of pricing rises: to cut the tariffs to attract more ship operators to use the NSR, or to increase the tariffs to cover the cost of the icebreaker fleet? However, currently active NSR icebreaking tariffs are in ceiling level, and the practical icebreaking

Social optimization emerged as a strategy for the attainment of more efficient road traffic (i.e., minimal total or average travel time). In order to achieve efficiency benefits, collective action is needed. A major challenge is that not every individual benefits equally from social optimization. Thus, a corresponding technological implementation (i.e., a social optimizing traveler information system

The proven benefits of limited-stop services have captured the attention of researchers, especially during the last decade. However, to solve the limited-stop service design problem many existing works directly impose a capacity constraint to a total social cost objective function. This “naïve approach” implicitly assumes that passengers behave altruistically, basing their decisions on what is best

In times of accelerating urbanization and environmental pollution, mode choice decisions (MCD) are a critical parameter in a city’s appearance and its environmental impacts. Simultaneously, the emerging smartphone multimodal traveller information systems (SMTIS) simplifies the usage of multimodal trips and, therefore, enhance the options in MCD. Current MCD models, in addition to considering classic

Autonomous vehicles (AVs) are around the corner, and adopting this technology will create a revolution in our transportation system. Mass adoption of AVs might have both positive and negative impacts to travel demand and the transportation system. How we adopt, matters. Several studies show that private AVs might lead to more travel demand and dispersed urban patterns, but shared AVs might contribute

The feasibility of the Northern Sea Route is assessed for seasonal operations of oil product tankers using alternative fuel types. A speed optimisation model is used that minimises the required freight rate (RFR) of a Long Range 2 (LR2) tanker against alternative routes. A cost model is developed that incorporates real hourly speed data from tanker voyages between the 2011 and 2019 summer/autumn seasons

This study seeks to understand children’s road-crossing decision-making. A range of factors affect children’s judgments, including 1) traffic characteristics, 2) travel behaviour, 3) neuropsychological characteristics and 4) other relevant individual, parental and household factors. The critical factors associated with the road-crossing judgments of 906 participating children from four primary schools

This study aims to estimate passenger demand for Urban Air Mobility (UAM) and analyze the feasibility of operating the system in Northern California. UAM is a concept mode of transportation that is designed to bypass ground congestion for time-sensitive, price-inelastic travelers using autonomous, electric aircraft with Vertical Takeoff and Landing (VTOL) capabilities. This study focuses specifically

Children with disabilities in Ontario, Canada have their right to equal access to education protected by the 1990 Ontario Human Rights Code and the 1990 Education Act. These legislated rights require the delivery of stigma- and barrier-free education services to children with disabilities. However, the extent to which compliance is achieved by school boards and individual schools is questionable and