N. van Oort
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47 records found
1
Long-term impact of rail maintenance works on passenger patterns
A longitudinal analysis of individual passenger patterns in the Dutch main rail network
Rail Ridership Response to Planned Highway Closures
A Revealed-Preference Analysis of the Dutch Network
Traditional timetable evaluations rely primarily on operator-oriented measures such as punctuality, which do not fully capture passenger experience. From a passenger perspective, service disruptions, irregular headways, and schedule deviations increase waiting and in-vehicle travel times, reducing service attractiveness. At the same time, measures that improve service reliability often increase operational costs through additional vehicle hours or fleet requirements. However, improved operational performance can also reduce financial penalties associated with delays, early departures, and cancellations. This study addresses the limited integration of passenger and operator perspectives in timetable evaluation by translating both into measurable quality indicators.
Passenger performance is represented through reliability and efficiency indicators. Passenger Reliability (PR) measures additional travel time caused by service variability, while Passenger Efficiency (PE) reflects the relationship between travelled distance and scheduled travel time, accounting for both in-vehicle and waiting time. The operator perspective is represented through Operator Robustness (OR), based on performance-related penalties, and Operator Expenses (OE), based on operational costs associated with vehicle hours and fleet size.
The indicators were applied to a series of alternative timetables created by modifying layover time, trip time, and service frequency. OE and PE were calculated directly from timetable characteristics, whereas PR and OR required simulation of realised operations. The simulation model was based on empirical distributions derived from realised data, including initial delays, driving times, and cancellation probabilities.
Increasing trip times and layovers generally improved passenger reliability and operator robustness, while increasing service frequency produced the greatest improvements in passenger efficiency by reducing waiting times. These improvements, however, were typically accompanied by higher operational costs. Although similar trends were observed across all lines, the effectiveness of timetable modifications depended on line characteristics. For example, increasing layover time produced the largest reliability improvements on Line 4, whereas increasing trip times was generally more effective on Lines 9 and 19. Even small increases in trip time proved beneficial on Line 9 without substantially increasing costs, while larger increases improved reliability further but also increased early departures more noticeably.
The timetable alternatives were compared using a multi-criteria decision analysis (MCDA). The preferred timetable depended strongly on the selected weighting scheme. Based on literature, Passenger Reliability was recommended to receive three times the weight of Passenger Efficiency, whereas no general recommendation was made for the relative weighting of passenger and operator objectives because this depends on policy priorities. For HTM, which operates under the Metropoolregio Rotterdam Den Haag (MRDH), greater emphasis on passenger objectives was considered appropriate.
The study is limited by the range of timetable modifications considered and several modelling assumptions, including the exclusion of passenger behavioural responses and transfers. Future research could incorporate these aspects together with more detailed holding strategies. Overall, the proposed framework provides a transparent approach for evaluating public transport timetables by explicitly balancing passenger impacts and operational constraints. ...
Traditional timetable evaluations rely primarily on operator-oriented measures such as punctuality, which do not fully capture passenger experience. From a passenger perspective, service disruptions, irregular headways, and schedule deviations increase waiting and in-vehicle travel times, reducing service attractiveness. At the same time, measures that improve service reliability often increase operational costs through additional vehicle hours or fleet requirements. However, improved operational performance can also reduce financial penalties associated with delays, early departures, and cancellations. This study addresses the limited integration of passenger and operator perspectives in timetable evaluation by translating both into measurable quality indicators.
Passenger performance is represented through reliability and efficiency indicators. Passenger Reliability (PR) measures additional travel time caused by service variability, while Passenger Efficiency (PE) reflects the relationship between travelled distance and scheduled travel time, accounting for both in-vehicle and waiting time. The operator perspective is represented through Operator Robustness (OR), based on performance-related penalties, and Operator Expenses (OE), based on operational costs associated with vehicle hours and fleet size.
The indicators were applied to a series of alternative timetables created by modifying layover time, trip time, and service frequency. OE and PE were calculated directly from timetable characteristics, whereas PR and OR required simulation of realised operations. The simulation model was based on empirical distributions derived from realised data, including initial delays, driving times, and cancellation probabilities.
Increasing trip times and layovers generally improved passenger reliability and operator robustness, while increasing service frequency produced the greatest improvements in passenger efficiency by reducing waiting times. These improvements, however, were typically accompanied by higher operational costs. Although similar trends were observed across all lines, the effectiveness of timetable modifications depended on line characteristics. For example, increasing layover time produced the largest reliability improvements on Line 4, whereas increasing trip times was generally more effective on Lines 9 and 19. Even small increases in trip time proved beneficial on Line 9 without substantially increasing costs, while larger increases improved reliability further but also increased early departures more noticeably.
The timetable alternatives were compared using a multi-criteria decision analysis (MCDA). The preferred timetable depended strongly on the selected weighting scheme. Based on literature, Passenger Reliability was recommended to receive three times the weight of Passenger Efficiency, whereas no general recommendation was made for the relative weighting of passenger and operator objectives because this depends on policy priorities. For HTM, which operates under the Metropoolregio Rotterdam Den Haag (MRDH), greater emphasis on passenger objectives was considered appropriate.
The study is limited by the range of timetable modifications considered and several modelling assumptions, including the exclusion of passenger behavioural responses and transfers. Future research could incorporate these aspects together with more detailed holding strategies. Overall, the proposed framework provides a transparent approach for evaluating public transport timetables by explicitly balancing passenger impacts and operational constraints.
Mobility Hubs in Low-Car Neighborhoods
A Stated Preference Study on Safety, Comfort and Intended Use
Designing a high level of service bus lane for Amersfoort
Development and evaluation of different design variants
A system analysis identified the municipality as the primary stakeholder, alongside the province, the bus operator, passengers, and bus drivers. The main objectives of the design were to create fast, efficient, and comfortable bus lanes, as well as high-quality bus stops. These objectives were translated into specific requirements outlined in the basis of design. While some requirements varied across sections, the overall design needed to include dedicated bus lanes, general traffic lanes, bicycle paths, and sidewalks. Additionally, certain constraints—such as an underpass and a bridge—could not be modified due to cost limitations. A GIS analysis determined that three bus stops would be required within the design area.
Based on these requirements, multiple design alternatives were developed for five different sections of the area, considering median, curb-side, and side-separated bus lanes. In consultation with the municipality, the most promising concepts were selected and further refined into detailed variants. Due to interdependencies between sections, the design process was streamlined to focus on two main sections. These variants were elaborated using AutoCAD, with special attention given to spatial limitations. In one section, hybrid solutions were introduced, combining dedicated bus lanes with shared traffic where necessary. The designs were evaluated using criteria grouped into three categories: traffic performance, passenger accessibility, and urban integration and liveability. Traffic performance was assessed through microsimulation modelling, while accessibility and urban integration were evaluated using a mix of quantitative indicators and expert judgement.
The evaluation showed that designs with median bus lanes consistently performed best across most criteria. They resulted in shorter bus travel times, higher service reliability, improved accessibility, and better integration into the urban environment. However, curb-side bus lanes performed better in terms of general traffic flow and, in some cases, road safety. Ultimately, the median-based designs were selected and integrated into a final design for the entire area. Due to spatial constraints, some sections still required shared traffic, meaning the original goal of fully dedicated bus lanes was not completely achieved. It is therefore recommended that the municipality further refine the design, potentially by reducing general traffic capacity or reallocating space within the redevelopment area. The key takeaway from this project is that median bus lanes offer the best performance for high-quality public transport, but strict design requirements can significantly influence—and sometimes limit—the final outcome. ...
A system analysis identified the municipality as the primary stakeholder, alongside the province, the bus operator, passengers, and bus drivers. The main objectives of the design were to create fast, efficient, and comfortable bus lanes, as well as high-quality bus stops. These objectives were translated into specific requirements outlined in the basis of design. While some requirements varied across sections, the overall design needed to include dedicated bus lanes, general traffic lanes, bicycle paths, and sidewalks. Additionally, certain constraints—such as an underpass and a bridge—could not be modified due to cost limitations. A GIS analysis determined that three bus stops would be required within the design area.
Based on these requirements, multiple design alternatives were developed for five different sections of the area, considering median, curb-side, and side-separated bus lanes. In consultation with the municipality, the most promising concepts were selected and further refined into detailed variants. Due to interdependencies between sections, the design process was streamlined to focus on two main sections. These variants were elaborated using AutoCAD, with special attention given to spatial limitations. In one section, hybrid solutions were introduced, combining dedicated bus lanes with shared traffic where necessary. The designs were evaluated using criteria grouped into three categories: traffic performance, passenger accessibility, and urban integration and liveability. Traffic performance was assessed through microsimulation modelling, while accessibility and urban integration were evaluated using a mix of quantitative indicators and expert judgement.
The evaluation showed that designs with median bus lanes consistently performed best across most criteria. They resulted in shorter bus travel times, higher service reliability, improved accessibility, and better integration into the urban environment. However, curb-side bus lanes performed better in terms of general traffic flow and, in some cases, road safety. Ultimately, the median-based designs were selected and integrated into a final design for the entire area. Due to spatial constraints, some sections still required shared traffic, meaning the original goal of fully dedicated bus lanes was not completely achieved. It is therefore recommended that the municipality further refine the design, potentially by reducing general traffic capacity or reallocating space within the redevelopment area. The key takeaway from this project is that median bus lanes offer the best performance for high-quality public transport, but strict design requirements can significantly influence—and sometimes limit—the final outcome.
Improving public transportation in ruralregions by implementing public mobility
A case study on rural public mobility in South-Holland
To assess the potential role of public mobility, a literature study is first conducted to identify the benefits, functioning, and malfunctioning of different aspects of the public mobility spectrum. Both the node configurations through which public mobility is provided and the systems themselves are examined. Based on this literature study operational constraints are formulated and a selection of modes is made for use in the subsequent modelling phase. The selected public mobility types are demand responsive transportation (DRT), shared mobility, and ride-sharing, in combination with the existing interlocal bus service. Under the defined operational constraints, DRT may only serve trips between nodes and the nearest interlocal bus station, and vice versa. Battery-powered vehicles may only operate between any node and any interlocal bus station, conventional bicycles may be used for any trip, and ride-sharing is only encouraged from specific locations focused on the creation of corridors between villages and the interlocal bus service. Given these constraints a discrete-event, agent-based simulation with stochastic demand and mode choice is developed for the case area of the Krimpenerwaard.
The results of the model indicate that conventional bicycles, in combination with the interlocal bus service, form the backbone of the system. For longer access and egress trips to interlocal bus stations, electric bicycles offer clear benefits and are the primary mode. Ride-sharing is a dominant mode on few OD-pairs of the selected corridors. however, the overall share of trips made using ride-sharing remains marginal. The cabin scooter emerges as an important mode for people with limited mobility and providing shelter during rainy conditions. Due to its lower speed, trip distances are generally short, resulting primarily in trips to and from the nearest interlocal bus station. While it is not the preferred option for most travellers, it plays a crucial role in ensuring system accessibility for all users. DRT is the least-used mode, due to its operational constraints, it does not offer a fast alternative, and most DRT users lack viable substitutes. Therefore, it is essential that a DRT service is available to provide these users with a viable travel solution. Simultaneously due to the enormous costs for a DRT it is preferred to minimise the trips as much as possible, therefore it is not advised to improve the operational constraints to gain a higher usage. Although a 45 km/h scooter is included in the model, the most promising fleet compositions exclude scooters. This is the result of a competition between scooters and the interlocal bus due to both having a the higher velocity while the bus also has a high capacity the scooter is unable to deliver enough trips given the cost constraints. This results in an unstable system configuration, which should therefore be avoided.
The results further show that the lower the settlement density, the greater the potential improvements offered by public mobility relative to the existing system. In suburban areas, public mobility is unable to compete with local bus services. Under the model assumptions, and with a confidence level of 99%, the integration of public mobility increases ridership by at least 5.8%, while cancelled trips increase by no more than 17.6% across all more rural settlement typologies. In villages, the overall benefits are limited for most trips; however, the slowest 1% of trips experience a commercial speed improvement of at least 64.7%, contributing to a more equitable mobility system. During peak hours, villages generate trip volumes that public mobility services are unable to accommodate effectively, making bus services the preferable option. Outside peak hours, when demand decreases, public mobility becomes more advantageous than local bus services. In ribbon developments, average travellers experience a commercial speed increase of 55.5%, while dispersed settlements show an even larger improvement of 319.1% in average commercial speed. Based on these findings, it is recommended to implement public mobility in rural regions with a focus on dispersed settlements, ribbon developments, and villages, while ensuring the presence of a fast and frequent interlocal bus service and dedicated rush-hour bus services for villages. ...
To assess the potential role of public mobility, a literature study is first conducted to identify the benefits, functioning, and malfunctioning of different aspects of the public mobility spectrum. Both the node configurations through which public mobility is provided and the systems themselves are examined. Based on this literature study operational constraints are formulated and a selection of modes is made for use in the subsequent modelling phase. The selected public mobility types are demand responsive transportation (DRT), shared mobility, and ride-sharing, in combination with the existing interlocal bus service. Under the defined operational constraints, DRT may only serve trips between nodes and the nearest interlocal bus station, and vice versa. Battery-powered vehicles may only operate between any node and any interlocal bus station, conventional bicycles may be used for any trip, and ride-sharing is only encouraged from specific locations focused on the creation of corridors between villages and the interlocal bus service. Given these constraints a discrete-event, agent-based simulation with stochastic demand and mode choice is developed for the case area of the Krimpenerwaard.
The results of the model indicate that conventional bicycles, in combination with the interlocal bus service, form the backbone of the system. For longer access and egress trips to interlocal bus stations, electric bicycles offer clear benefits and are the primary mode. Ride-sharing is a dominant mode on few OD-pairs of the selected corridors. however, the overall share of trips made using ride-sharing remains marginal. The cabin scooter emerges as an important mode for people with limited mobility and providing shelter during rainy conditions. Due to its lower speed, trip distances are generally short, resulting primarily in trips to and from the nearest interlocal bus station. While it is not the preferred option for most travellers, it plays a crucial role in ensuring system accessibility for all users. DRT is the least-used mode, due to its operational constraints, it does not offer a fast alternative, and most DRT users lack viable substitutes. Therefore, it is essential that a DRT service is available to provide these users with a viable travel solution. Simultaneously due to the enormous costs for a DRT it is preferred to minimise the trips as much as possible, therefore it is not advised to improve the operational constraints to gain a higher usage. Although a 45 km/h scooter is included in the model, the most promising fleet compositions exclude scooters. This is the result of a competition between scooters and the interlocal bus due to both having a the higher velocity while the bus also has a high capacity the scooter is unable to deliver enough trips given the cost constraints. This results in an unstable system configuration, which should therefore be avoided.
The results further show that the lower the settlement density, the greater the potential improvements offered by public mobility relative to the existing system. In suburban areas, public mobility is unable to compete with local bus services. Under the model assumptions, and with a confidence level of 99%, the integration of public mobility increases ridership by at least 5.8%, while cancelled trips increase by no more than 17.6% across all more rural settlement typologies. In villages, the overall benefits are limited for most trips; however, the slowest 1% of trips experience a commercial speed improvement of at least 64.7%, contributing to a more equitable mobility system. During peak hours, villages generate trip volumes that public mobility services are unable to accommodate effectively, making bus services the preferable option. Outside peak hours, when demand decreases, public mobility becomes more advantageous than local bus services. In ribbon developments, average travellers experience a commercial speed increase of 55.5%, while dispersed settlements show an even larger improvement of 319.1% in average commercial speed. Based on these findings, it is recommended to implement public mobility in rural regions with a focus on dispersed settlements, ribbon developments, and villages, while ensuring the presence of a fast and frequent interlocal bus service and dedicated rush-hour bus services for villages.
Bridging Mobility and Community
A Participatory Value Evaluation approach to integrate Inclusive, Multimodal Mobility Hubs into Dutch cites
Cycling to the hospital
A research on what affects hospital employees' willingness to cycle for commuting
Improving Collaboration in Regional Mobility Hub Projects
Strategies to Improve Stakeholder Collaboration in the Development and Implementation Phases of Regional Mobility hubs
to fragmented stakeholder collaboration across multiple governance levels. This research investigates how collaboration can be improved during the development and implementation
phases of regional mobility hubs. A conceptual collaboration framework was developed from literature and applied to a case study of the Brainporthubs in the Eindhoven region. The
findings reveal that relationship quality is a critical prerequisite for effective engagement, eventually leading to successful collaboration. Additionally, shared value creation, especially through integrated policy agendas, emerges as a key driver for stakeholder commitment. Based on these insights, the original framework was refined and translated into actionable strategies for both existing and future hub projects. This study contributes an evidencebased model and concrete strategies to enhance collaborative governance in complex transport initiatives. ...
to fragmented stakeholder collaboration across multiple governance levels. This research investigates how collaboration can be improved during the development and implementation
phases of regional mobility hubs. A conceptual collaboration framework was developed from literature and applied to a case study of the Brainporthubs in the Eindhoven region. The
findings reveal that relationship quality is a critical prerequisite for effective engagement, eventually leading to successful collaboration. Additionally, shared value creation, especially through integrated policy agendas, emerges as a key driver for stakeholder commitment. Based on these insights, the original framework was refined and translated into actionable strategies for both existing and future hub projects. This study contributes an evidencebased model and concrete strategies to enhance collaborative governance in complex transport initiatives.
To fill this knowledge gap, Participatory Value Evaluation (PVE) is performed in the Netherlands. 1254 respondents, of whom 328 had a disability, advised policymakers on which accessibility policies are most urgent. In the PVE, participants could indicate for nine policy measures whether they should get more priority, subject to an effort constraint.
The results show that both PwD and citizens prioritised the repair of broken elevators most, followed by wheelchair accessible vehicles. These policies were prioritised despite the high effort required. The results show great homogeneity of results amongst different disabilities. Participants prioritised policies because of their perceived necessity and effectiveness in helping people with a disability use public transport. The research suggests that people prioritise more expensive, long-term policies that facilitate independent travel for most PwD, over less expensive measures that do not improve independence in the long term.
Policymakers and scholars are recommended to focus on the necessity and effectiveness of accessibility policies, prioritising long-term improvements. ...
To fill this knowledge gap, Participatory Value Evaluation (PVE) is performed in the Netherlands. 1254 respondents, of whom 328 had a disability, advised policymakers on which accessibility policies are most urgent. In the PVE, participants could indicate for nine policy measures whether they should get more priority, subject to an effort constraint.
The results show that both PwD and citizens prioritised the repair of broken elevators most, followed by wheelchair accessible vehicles. These policies were prioritised despite the high effort required. The results show great homogeneity of results amongst different disabilities. Participants prioritised policies because of their perceived necessity and effectiveness in helping people with a disability use public transport. The research suggests that people prioritise more expensive, long-term policies that facilitate independent travel for most PwD, over less expensive measures that do not improve independence in the long term.
Policymakers and scholars are recommended to focus on the necessity and effectiveness of accessibility policies, prioritising long-term improvements.
Pedal to Platform
Understanding Operational Efficiency of Bicycle Parking Facilities at Railway Stations in the Netherlands
...
Spatio-temporal Network Accessibility
Transit quality of multimodal public transport systems in cities worldwide
Transport equity in decision-making processes
Conceptual research on the inclusion of transport equity in the decision-making process of transport projects in sparsely populated areas in the Netherlands
Stories of Aging and Access
Exploring Capabilities and Challenges of Accessibility for urban Elderly through Microstories
Crossing Europe asleep, not aloft
Modelling night train demand potential for maximum air-rail substitution
Examining the Societal Costs and Benefits of Integrating Bike Sharing Systems and Public Transport
A Case Study of the OV-fiets in the Netherlands
Transport accessibility and car availability barriers to out-of-home activity participation among the unemployed
A Dutch nationwide latent class cluster analysis
Latent class cluster analysis is employed to identify distinct patterns of transport accessibility and car availability among the unemployed, avoiding arbitrary definitions and incorporating socio-demographic determinants. This approach reveals a broad spectrum of transport accessibility and car availability patterns, ranging from low to medium to high, organized into groups or clusters.
The research contrasts out-of-home activity participation between unemployed and employed individuals with similar socio-demographic profiles to identify relative deficits, using propensity score matching. This method isolates the combined effect of employment status and non-socio-demographically determined transport disadvantage on activity participation and travel behavior. The study then conducts a comparative analysis of deficits in activity engagement across the eight groups, allowing for the separation of the direct impact of transport disadvantage from direct effects related to employment status.
A key discovery of this thesis is a compensatory mechanism among unemployed individuals who tend to increase their participation in non-work-related activities. However, this compensatory behavior is not uniformly realized across all groups, particularly not among those with low car availability, who exhibit significant deficits in out-of-home activity participation. Surprisingly, accessibility does not seem to influence the differential in activity participation between the unemployed and their employed counterparts, suggesting that car availability is the primary dimension through which compensatory behavior is enabled.
This finding challenges the hypothesized compensatory relationship between transport accessibility and car availability and suggests that individuals with higher car availability, regardless of their level of accessibility, are at a lower risk of transport-related social exclusion, whereas those with low car availability exhibit a higher risk, irrespective of their accessibility levels.
Furthermore, the results suggest that socio-demographic factors compound with employment status and transport disadvantage to inhibit the full expression of this compensatory mechanism among low car availability groups. These groups, representing 61% of the unemployed sample, typically have higher accessibility and comprise younger people, individuals living in single-person households, those with lower household incomes, and individuals with a non-native (parental) birthplace, predominantly residing in highly urbanized areas.
This study, informed by existing literature on affordability limitations, recommends enhancing affordable transport accessibility for unemployed individuals with low car availability, advocating for subsidized public transport fares and travel allowances for low-household-income groups. It supports promoting mixed-use developments and enhancing infrastructure for active transportation modes to increase activity options within reachable distances for those with limited car availability. Future research should explore physical and digital in-home activities, subjective experiences of social inclusion, and the role of transport and housing expenses in shaping transport affordability. ...
Latent class cluster analysis is employed to identify distinct patterns of transport accessibility and car availability among the unemployed, avoiding arbitrary definitions and incorporating socio-demographic determinants. This approach reveals a broad spectrum of transport accessibility and car availability patterns, ranging from low to medium to high, organized into groups or clusters.
The research contrasts out-of-home activity participation between unemployed and employed individuals with similar socio-demographic profiles to identify relative deficits, using propensity score matching. This method isolates the combined effect of employment status and non-socio-demographically determined transport disadvantage on activity participation and travel behavior. The study then conducts a comparative analysis of deficits in activity engagement across the eight groups, allowing for the separation of the direct impact of transport disadvantage from direct effects related to employment status.
A key discovery of this thesis is a compensatory mechanism among unemployed individuals who tend to increase their participation in non-work-related activities. However, this compensatory behavior is not uniformly realized across all groups, particularly not among those with low car availability, who exhibit significant deficits in out-of-home activity participation. Surprisingly, accessibility does not seem to influence the differential in activity participation between the unemployed and their employed counterparts, suggesting that car availability is the primary dimension through which compensatory behavior is enabled.
This finding challenges the hypothesized compensatory relationship between transport accessibility and car availability and suggests that individuals with higher car availability, regardless of their level of accessibility, are at a lower risk of transport-related social exclusion, whereas those with low car availability exhibit a higher risk, irrespective of their accessibility levels.
Furthermore, the results suggest that socio-demographic factors compound with employment status and transport disadvantage to inhibit the full expression of this compensatory mechanism among low car availability groups. These groups, representing 61% of the unemployed sample, typically have higher accessibility and comprise younger people, individuals living in single-person households, those with lower household incomes, and individuals with a non-native (parental) birthplace, predominantly residing in highly urbanized areas.
This study, informed by existing literature on affordability limitations, recommends enhancing affordable transport accessibility for unemployed individuals with low car availability, advocating for subsidized public transport fares and travel allowances for low-household-income groups. It supports promoting mixed-use developments and enhancing infrastructure for active transportation modes to increase activity options within reachable distances for those with limited car availability. Future research should explore physical and digital in-home activities, subjective experiences of social inclusion, and the role of transport and housing expenses in shaping transport affordability.