230.548 People
Kouwenhoven, Marco
in Cooperation with on an Cooperation-Score of 37%
Topics
- data collection
- data
- logistics
- road
- travel
- travel time
- stated preference
- income
- survey
- rural area
- cost benefit analysis
- financing
- value of time
- neural network
- choice model
- Monte Carlo method
- reliability
- forecasting model
- highway traffic
- highway transportation
- economics
- medical treatment
- standard deviation
- vehicle occupant
- passenger
- bus
- port
- airport
- gasoline
- passenger transportation
- questionnaire
- travel cost
- household
- costs
- education
- parking
- developed country
- service station
- bus stop
- garage
- interviewing
- recruiting
- parking garage
- freight transportation
- commodity
- shipment
- freight traffic
- public transit
- perception
- comfort
- infrastructure
- maintenance
- railroad train
- automatic control
- crowd
- ridership
- modernization
- urban mobility
- investment
- headway
- crossheading
- bus route
- rolling stock
- bus line
- traffic model
- waiting time
- shortage
- local transportation plan
- profit
- face
- pilot study
- automobile ownership
- automobile
- ownership
- road pricing
- specification
- price
- traveler
- fee
- consumer
- taxation
- government
- variable costs
- fixed costs
- operating costs
- sales tax
- motorcycle
- modeling
- commuter
- aircraft
- passenger volume
- simulation
- driver
- high speed train
- validation
- forecasting
- synthetic
- hub
- market
- bottleneck
- constraint
- chemical element
- coalition
- transportation mode
- accessibility
- flight path
- air route
- low-cost airline
- database
- logit
- airport runway
- market share
- level of service
- time series
- airport capacity
- watershed
- passenger demand
- river basin
- catchment area
- long range planning
- econometric model
- show 91 more
Publications
- 2022Can repeated surveys reveal the variation of the value of travel time over time?
- 2021An artificial neural network based method to uncover the value-of-travel-time distributioncitations
- 2016Forecasting travel time reliability in road transport: A new model for the Netherlands
- 2015De waarde van betrouwbare reistijden in personenverkeer en –vervoer in Nederland
- 2014New values of time and reliability in passenger transport in The Netherlandscitations
- 2014New SP-values of time and reliability for freight transport in the Netherlandscitations
- 2013On the value of crowding in public transport for Île-de-Francecitations
- 2009A pilot study into the perception of unreliability of travel times using in-depth interviewscitations
- 2009The impact of fixed and variable costs on household car ownershipcitations
- 2007Modeling of motorcycle ownership and commuter usage: A UK studycitations
- 2005The airport Network and Catchment area Competition Model - A comprehensive airport demand forecasting system using a partially observed database
Places of action
report
On the value of crowding in public transport for Île-de-France
Abstract
Since the mid 90’s, public transport patronage in Île-de-France (the Paris region) has increased substantially: over the last decade alone a 20% growth was observed. This growth, even though it was an aim of the Sustainable Urban Mobility plan adopted in 2000, was not completely anticipated. Consequently, the capacity is no longer sufficient to meet the demand during the peak hours, particularly on several parts of the network in the dense central area of the region. This results in over-crowded vehicles and long waiting times for passengers at rail platforms and bus stops. The lack of maintenance and modernisation of the transport system causes additional operational difficulties. Renewal of the rail infrastructure and rolling stock is necessary to cope with this situation. But renewal alone will not be enough. Major investments are planned to increase capacity by either building new lines, or by increasing capacity of existing lines. The Grand Paris Express is the best known of these projects. Furthermore, a number of bus lines will be transformed into tramway lines, railway lines are being renovated, and new automatic systems for railway operation will allow shorter headways between subsequent trains, and thus more capacity. All these projects together should reduce the shortage of capacity substantially by 2020, and totally eliminate it by 2030. As a consequence, crowding levels in public transport will be highly reduced. For the socio-economic appraisal, it is necessary to quantify all impacts of these investments. The impact on travel and waiting times can be determined by using standard traffic models, such as the ANTONIN model that is used in the Île-de-France area. The reduction in congestion levels can also be forecasted by more using advanced traffic models. However, little is known about the value that passengers attach to these reduced congestion levels (for a review of existing literature, see section 3). Therefore, STIF commissioned Significance in 2011 to conduct a new study focused on the perception of comfort inside public transport vehicles in general, and more particularly on the issue of crowding. This study was to cover all modes of public transport in Île-de-France.
Topics
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