Niels van Oort
Inzicht in kosten van vertragingen
Menno Yap, PhD student in het TRANS-FORM project, vertelt over zijn onderzoek in het AD:
Urban Demand Responsive Transport in the Mobility as a Service ecosystem: its role and potential market share
Mobility as a Service (MaaS) is entering the transportation market. MaaS aims at the full
integration of the existing transportation services and it offers tailored mobility packages to
the user. In MaaS ecosystems, on-demand services play an important role as complement to
public transport due to their flexibility. However, to date, most attention has been placed on
individual on-demand services. This study focuses on Demand Responsive Transport (DRT):
collective on-demand services. Using an on-line survey, we analysed the characteristics of
the respondents who chose different modes of transport among their selected modes.
Results find a distinctive pattern in the willingness of users to use different modes, with
different levels in what could be considered as a multimodality ladder. The different rungs of
it would be: 1st car (if available), 2nd public transport, 3rd DRT and 4th taxi-like services.
This way, a person standing on the third rung would include car, public transport and DRT in
their consideration set, but not taxi. This finding suggests that, if implemented in the right
way, DRT services can attract a larger number of users than taxi-like services, especially in a
MaaS ecosystem where initial barriers to try this service can be lessened.
Find the paper presented by Maria Alonso Gonzalez at the Thredbo conference in Stockholm HERE
The wider benefits of high quality public transport for cities
The true value of public transport is often underestimated systematically while assessing transit impacts of proposed projects. During the planning and assessment of new or improved connections, infrastructure or services, often only the costs of operations, construction and the revenues with regard to fares and travel time savings are accounted for. This approach provides insights into the performance of public transport to some extent, but disregards many other (positive) effects the provision of public services has. Many of which impose an advantage over competing modes of transport. This could result in the postponement or even cancellation of plans, as means are scarce and invested where gains are directly visible. Thus, to enable a fairer assessment of public transport plans, more insight is required into the wider benefits of its operations and impacts on passengers and the environment.
To gain these insights, we developed a methodology to quantify the value of public transport using the five E’s: Effective mobility, Efficient city, Economy, Environment and Equity. Together these aspects provide a better indication of all potential benefits of public transport.
Read more in this ETC 2017 conference paper.
Understanding the trip and user characteristics of the combined bicycle and transit mode
Several cities around the world are facing mobility related problems such as traffic congestion and air pollution. Although limited individually, the combination of bicycle and transit offers speed and accessibility; by complementing each other’s characteristics the bicycle and transit combination can compete with automobiles. Recognising this, several studies have investigated policies that encourage integration of these modes. However, empirical analysis of the actual users and trips of the combined mode is largely missing. This study addresses this gap by (i) reviewing empirical findings on related modes, (ii) deriving user and trip characteristics of the bicycle and transit mode in the Netherlands, and (iii) applying latent class cluster analysis to discover prototypical users based on their socio-demographic attributes. Most trips by this mode are found to be for relatively long commutes where transit is in the form of trains, and bicycle and walking are access and egress modes respectively. Furthermore, seven user groups are identified and their spatial and temporal travel behaviour is discussed. Transport authorities may use the empirical results in this study to further streamline integration of bicycle and transit for its largest users as well as to tailor policies to attract more travellers.
Find our Thredbo conference presentation HERE
Read our paper HERE
Modelling Multimodal Transit Networks: Integration of bus networks with walking and cycling
Demand for (public) transportation is subject to dynamics affected by technological, spatial, societal and demographic aspects. The political environment, together with financial and spatial constraints limit the possibilities to address transit issues arising from growing demand through the construction of new infrastructure. Upgrading of existing services and improving integration over the entire trip chain (including cycling) are two options that can address these transport issues. However, transport planners and transport service operators often fail to include the entire trip when improving services, as improvement is normally achieved through the adaptations of characteristics (e.g. speeds, stop distances) of the services.
Our developed framework consists of two parts: one to assess the characteristics of the different bus services and their access and egress modes, and one to assess the effects of integration of these services, which includes the modelling and analysis in a regional transit model. The framework has successfully been applied to a case study showing that bus systems with higher frequencies and speeds can attract twice the amount of cyclists on the access and egress sides. It also shows that passengers accept longer access and egress distances with more positive characteristics of the bus service (higher speeds, higher frequencies).
Find the presentation of Judith Brand at MT-ITS in Napoli HERE
Find our paper HERE
A data-driven approach to infer spatial characteristics and service reliability of public transport hubs
Public transport hubs play an important and a central role in public transport networks by connecting several public transport lines from one or multiple network levels. Hubs can be characterized by a large relative and absolute number of transferring passengers between public transport services within the same network level and/or between different network levels. Hubs are especially important with respect to service reliability of passenger journeys, since missing connections at hubs can substantially increase the nominal and perceived passenger journey travel time. The availability of AFC and AVL data allows an in-depth analysis of hub definition, identification, characterization and reliability performance evaluation. Such analysis enables optimisation of synchronisation of schedules, thereby increase the level of service reliability.
Find our TransitData2017 presentation HERE
Insights into door-to-door travel patterns of public transport passengers
Public transport enables fast and reliable station to station journeys. To assess passenger travel patterns and to infer actual quality of service, smartcard and AVL data offer great opportunities. There is, however, an increasing interest in insights into access and egress dynamics of public transport riders as well. What is the size of a stop’s catchment area, which modes are used, and how long and reliable are access and egress times? The answers to these and other questions enable optimization of the total mobility system, thereby also increasing public transport ridership and efficiency. Sufficient biking access of public transport stops (routes and parking), for instance, offer opportunities to increase public transport stopping distances, thereby increasing operational speed and reliability, without compromising accessibility of service areas. We developed a methodology to calculate and demonstrate these dynamics by using new and existing data technologies, namely AVL, survey and new promising app.
Find the Transit Data Conference abstract HERE and our presentation HERE
Special Issue Stedelijk OV Tijdschrift Vervoerwetenschap
Onze steden worden steeds belangrijker. Tegen 2050 woont ca. 70% van de totale wereldbevolking in ‘de’ stad. Het wordt een grote uitdaging voor ons allen om die steden leefbaar en economisch vitaal te houden. Openbaar vervoer (OV) speelt een essentiële rol bij deze uitdaging. Goede bereikbaarheid van de economische en sociale kerngebieden is een absolute voorwaarde voor het succes van een stad en OV is daarbij een onmisbare schakel. In dit special issue “Stedelijk OV” presenteren wij u een verzameling wetenschappelijke artikelen die helpt om het OV en daarmee de stad tot een succes te (blijven) maken. Stuk voor stuk wetenschappelijk onderzoek – direct toepasbaar voor een praktisch vervolg in beleid, planning en/of uitvoering.
Lees meer: Voorwoord special issue
Fiets én OV: ‘The best of both worlds’
Naast de inmiddels gangbare combinatie fiets en trein, bieden met name de combi’s fiets en stedelijke rail en fiets en HOV-busvervoer nog veel potentieel. Data-onderzoek van Goudappel Coffeng en TU Delft toont aan dat de combinatie fiets en een OV-modaliteit voordelen biedt aan een brede groep stakeholders. Waarom is dit relevant en hoe zit de gebruikersdynamiek van fiets en OV eigenlijk in elkaar?
Lees het artikel in Verkeerskunde
Optimization of a passenger railway transportation plan considering mobility flows and service quality
This research focuses on designing transportation plan for SNCF Transilien (French railway
operator for the Parisian suburban mass transit). The objective is to develop methods
and decision support tools to propose a timetable adapted to the passenger demand in the
Parisian mass transit system, including comfort and reliability criterias.
This paper aims to present the first step of this research. We propose a graph theoretic
ILP formulation for the Line Planning Problem, minimizing both travelers travel time and
operating cost. We furthermore develop a multi-objective method to solve this problem.
This method offers a pool of solutions in order to let the final designer choose the solution.
We report computational results on real world instances provided from SNCF Transilien.
Check the RAIL Lille paper of Lucile Brethome et al. HERE