Understanding preferences for mobility-on-demand services through a context-aware survey and non-compensatory strategy

The potential lack of realism in stated-preference surveys is particularly acute in contexts where disaggregate real-world data is challenging to obtain. Mobility-on-Demand (MOD) services present one such context. The MOD context is unique due to factors such as service reliability (difference in stated vs. actual travel and waiting time) and...

An instance-based learning approach for evaluating the perception of ride-hailing waiting time variability

Understanding user's perception of service variability is essential to discern their overall perception of any type of (transport) service. We study the perception of waiting time variability for ride-hailing services. We carried out a stated preference survey in August 2021, yielding 936 valid responses. The respondents were faced with...

An epsilon-constraint-based exact multi-objective optimization approach for the ship schedule recovery problem in liner shipping

Time management is crucial for liner shipping services. A variety of unexpected events can disrupt liner shipping schedules. A real-time port capacity analysis and rescheduling the original ship operations would be necessary to counteract the negative effects of such disruptions. Different ship schedule recovery options can be adopted in...

Special issue on “Reliability and resilience of emerging mobility systems”, an editorial note

This Editorial Note accompanies the special issue devoted to the development of new concepts, theories and methods that address reliability and resilience related to the planning, dynamic operation, and level of service of novel mobility systems. This special issue on ‘Reliability and Resilience of Emerging Mobility Systems’ consists of seven...

At-stop control measures in public transport: Literature review and research agenda

In this literature review, we systematically review studies on public transit control with a specific focus on at-stop measures. In our synthesis of the relevant literature, we consider three perspectives: (1) the mathematical models of the proposed methodologies; (2) their complexity; (3) their applicability in real-time operations and their...

Designing bus rapid transit systems: Lessons on service reliability and operations

Cities worldwide are looking for expanding the capacity of their public transport system while considering budget limitations. Bus Rapid Transit (BRT) systems are increasingly considered as alternatives for designing a mass public transport in mid-size cities in developed countries. While operations have been recognized as an important...

Automatic bottleneck detection using AVL data: A case study in Amsterdam

In daily practice, public transport authorities and operators are constantly searching for improvements in public transport operations. To this end, it is necessary to identify inefficiencies and bottlenecks in the current public transport services. In this paper, we propose a method to automatically detect bottlenecks in the public transport...

Value of Reliability for the Waiting Stage, In-vehicle Stage and Transfer Stage of Demand Responsive Transport (DRT) Services

On-demand modes are playing an ever-increasing role in urban transportation. In<br/>particular, Demand Responsive Transit (DRT) (shared on-demand modes such as<br/>shared ride-hailing and microtransit) can complement scheduled public transport<br/>thanks to their collective nature. These services offer flexible and convenient<br/>mobility: they...

Improving railway passengers experience: Two perspectives

This paper describes two perspectives to improve the passenger experience. The passenger satisfaction pyramid is introduced, consisting of the base of the pyramid (dissatisfiers) focusing on time well saved and the top of the pyramid (satisfiers) aiming at time well spent. The challenge in planning and design of public transport services is to...

Data driven enhancement of public transport planning and operations: Service reliability improvements and ridership predictions

Automatic Vehicle Location (AVL) and smartcard data are of great value in planning, design and operations of public transport. We developed a transport demand model, which utilizes smartcard data for overall and what-if analyses, by converting these data into passengers per line and OD-matrixes and allowing network changes on top of a base...

Incorporating enhanced service reliability of public transport in cost-benefit analyses

In this paper, we demonstrate how to calculate the passenger impacts of service unreliability. We show that passengers are affected by longer waiting times and the distribution of travel times. We present a framework to calculate these effects and to express them in monetary values. In the Netherlands and many other countries, service...

Evaluating the Impacts and Benefits of Public Transport Design and Operational Measures

Design and operational measures are designed and implemented to improve public transport performance and level-of-service. In the case of urban bus systems, priority, operational and control measures are aimed to elevate bus services to buses with high level of service (BHLS). Even though there is an explosive growth in design and operational...

Data driven improvements in public transport: The Dutch example

Due to reduced budgets, higher political expectations and increasing competition between operators, there is growing pressure on public transport companies and authorities to improve their operational efficiency. It is thus of utter importance for them to be able to identify inefficiencies, bottlenecks and potentials in their public transport...

Optimizing public transport planning and operations using automatic vehicle location data: The Dutch example

There is a growing pressure on urban public transport companies and authorities to improve efficiency, stemming from reduced budgets, political expectations and competition between operators. In order to find inefficiencies, bottlenecks and potentials in the public transport service, it is useful to learn from recorded operational data. We first...

Quantifying benefits of enhanced service reliability in public transport

Service reliability improvement by enhanced network and timetable planning

The impact of scheduling on service reliability: Trip-time determination and holding points in long-headway services

This paper presents research on optimizing service reliability of longheadway services in urban public transport. Setting the driving time, and thus the departure time at stops, is an important decision when optimizing reliability in urban public transport. The choice of the percentile out of historical data determines the probability of being...