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Dynamic adaptive policymaking for implementing Mobility-as-a Service (MaaS)

Research in transportation business & management, 2018-06, Vol.27, p.46-55

2018

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Future implementation of mobility as a service (MaaS): Results of an international Delphi study

Travel, behaviour & society, 2020-10, Vol.21, p.281-294

2020

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Organizing integrated services in mobility-as-a-service systems: Principles of alliance formation applied to a MaaS-pilot in the Netherlands

Transportation research. Part A, Policy and practice, 2020-01, Vol.131, p.178-195

2020

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A business model perspective to understand intra-firm transitions: From traditional to flexible public transport services

Research in transportation economics, 2020-11, Vol.83, p.100959-100959, Article 100959

2020

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A multilevel spatial interaction model of transit flows incorporating spatial and network autocorrelation

Journal of transport geography, 2017-04, Vol.60, p.155-166

2017

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Business models for Mobility as an Service (MaaS)

Transportation research. Part B: methodological, 2022-03, Vol.157, p.203-229

2022

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The Dutch elderly's preferences toward a smart demand-responsive transport service

Research in transportation business & management, 2019-03, Vol.30, p.100383, Article 100383

2019

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Predicting travel flows with spatially explicit aggregate models

Transportation research. Part A, Policy and practice, 2018-12, Vol.118, p.68-88

2018

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Special issue: Land Use and Sustainable Mobility

European journal of transport and infrastructure research, 2003-06, Vol.3 (2)

Meurs, Henk

2003

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Is average daily travel time expenditure constant? In search of explanations for an increase in average travel time

Journal of transport geography, 2006-03, Vol.14 (2), p.109-122

2006

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Factors Influencing Stop-Level Transit Ridership in Arnhem–Nijmegen City Region, Netherlands

Transportation research record, 2015-01, Vol.2537 (1), p.23-32

2015

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Modeling the effects of environmentally differentiated distance-based car-use charges in the Netherlands

Transportation research. Part D, Transport and environment, 2013-07, Vol.22, p.1-9

2013

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Quick-Scan Appraisal Method to Determine Cost-Effectiveness of Traffic and Demand Management Measures: Carsharing; Demand Management; and Parking 2013

Transportation research record, 2013 (2359), p.36-43

2013

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Spatial structure and mobility

Transportation research. Part D, Transport and environment, 2001-11, Vol.6 (6), p.429-446

2001

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A panel data switching regression model of mobility and car ownership

Transportation research. Part A, Policy and practice, 1993-11, Vol.27 (6), p.461-476

Meurs, Henk

1993

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Quick-Scan Appraisal Method to Determine Cost-Effectiveness of Traffic and Demand Management Measures

Transportation research record, 2013, Vol.2359 (1), p.36-43

2013

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Biases in response over time in a seven-day travel diary

Transportation (Dordrecht), 1986, Vol.13 (2), p.163-181

1986

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Book Review: Handbook of Transport Geography and Spatial Systems (D. Hensher, K. Button, K. Haynes and P. Sopher (eds.))

European Journal of Transport and Infrastructure Research, 2006, Vol.6 (4)

Meurs, Henk

2006

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Dynamic analysis of trip generation

Transportation research. Part A: general, 1990-11, Vol.24 (6), p.427-442

Meurs, Henk

1990

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Trip generation models with permanent unobserved effects

Transportation research. Part B: methodological, 1990-04, Vol.24 (2), p.145-158

Meurs, Henk

1990

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The Governance of Demand-Responsive Transit Systems—A Multi-level Perspective

The Governance of Smart Transportation Systems, p.207-227

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Biases in response over time in a seven-day travel diary

Transportation (Dordrecht), 1986-04, Vol.13 (2), p.163-163

1986

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Biases in response over time in a seven-day travel diary: Objectives and Scope The data Overall mobility levels Indices of bias Differences in biases over population segments Conclusions References

Transportation (Dordrecht), 1986-04, Vol.13 (2), p.163

1986

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Measurement biases in panel data

Transportation (Dordrecht), 1989-06, Vol.16 (2), p.175-194

1989

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Measurement biases in panel data: 1. Introduction 2. Methodology Within and between wave biases Testing and estimating the within and between wave biases 3. Data 4. Descriptive assessment of reporting errors 5. Estimating the within and between wave effects 6. Characteristics of within and between wave effects Immobile days Omitting short trips Decreasing complexity of reporting 7. Conclusions Acknowledgments References

Transportation (Dordrecht), 1989-04, Vol.16 (2), p.175

1989

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Dynamic adaptive policymaking for implementing Mobility-as-a Service (MaaS)

Future implementation of mobility as a service (MaaS): Results of an international Delphi study

Organizing integrated services in mobility-as-a-service systems: Principles of alliance formation applied to a MaaS-pilot in the Netherlands

A business model perspective to understand intra-firm transitions: From traditional to flexible public transport services

A multilevel spatial interaction model of transit flows incorporating spatial and network autocorrelation

Business models for Mobility as an Service (MaaS)

The Dutch elderly's preferences toward a smart demand-responsive transport service

Predicting travel flows with spatially explicit aggregate models

Special issue: Land Use and Sustainable Mobility

Is average daily travel time expenditure constant? In search of explanations for an increase in average travel time

Factors Influencing Stop-Level Transit Ridership in Arnhem–Nijmegen City Region, Netherlands

Modeling the effects of environmentally differentiated distance-based car-use charges in the Netherlands

Quick-Scan Appraisal Method to Determine Cost-Effectiveness of Traffic and Demand Management Measures: Carsharing; Demand Management; and Parking 2013

Spatial structure and mobility

A panel data switching regression model of mobility and car ownership

Quick-Scan Appraisal Method to Determine Cost-Effectiveness of Traffic and Demand Management Measures

Biases in response over time in a seven-day travel diary

Book Review: Handbook of Transport Geography and Spatial Systems (D. Hensher, K. Button, K. Haynes and P. Sopher (eds.))

Dynamic analysis of trip generation

Trip generation models with permanent unobserved effects

The Governance of Demand-Responsive Transit Systems—A Multi-level Perspective

Biases in response over time in a seven-day travel diary

Biases in response over time in a seven-day travel diary: Objectives and Scope The data Overall mobility levels Indices of bias Differences in biases over population segments Conclusions References

Measurement biases in panel data

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