nacima baron - nextstation · adding to expertise a research strategy more science for stations ?...

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Page 1: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data
Page 2: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

• Nacima BARON • Laboratory Ville Mobilité Transports • Ecole des Ponts ParisTech • France • Session 1

Design

From intermodality to intermobility :

how research & innovation frame station's adaptation to posturban challenges

Page 3: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

3

1. Starting from station’s challenges Applying research to station management 2. How may academics and corporate collaborate ? Framing new station’s ecosystem

3. Valuying station activity Modelling pathways of station development 4. Fertilizing flows Digitalizing client’s behaviour Conclusion Necessity of structured Partnership for Sharing more !

I.

CONTENT

1. Station challenges

2. Academic collaboration

3. Valuying activity

4. Flow fertilization

5. Share more!

Page 4: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

4

1. Starting from station’s challenges

Intermodality to Intermobility

Disruption ?

Station as a network :

More than interconnection ?

Station as a urban place

More than

(smart) hubs ?

Beyond efficiency

Research as

part of the solution ?

Page 5: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

5

Adding to expertise a research strategy

More science for stations ?

• Quanti/Quali Methods • Algorithms, Visualization

• Case studies • Data mining

• Calibration, Comparison • Tests of robustness

Data

Formalization

Generalisation

Page 6: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

Chaire « Réinventer les

gares au XXIème siècle »

Conception, aménagement, régulation

et gestion des gares et des pôles

d’échange ferroviaires

Comité de Pilotage

Réunion du 14 février 2014

Chaire « Réinventer les

gares au XXIème siècle »

2012-2016

Gares & Connexions

Ecole des Ponts ParisTech

Fondation des Ponts

Comité d’orientation et d’évaluation (COE)

Réunion du 29 mai 2013

Chaire « Réinventer les

gares au XXIème siècle »

2012-2016

Gares & Connexions

Ecole des Ponts ParisTech

Fondation des Ponts

Comité d’orientation et d’évaluation (COE)

Réunion du 29 mai 2013

6

How may academics and corporate collaborate ? Overcoming limitations on both sides

Fragmentation of laboratories

High degree of specialization

3. Negotiating conditions

Access to hot datas… Authorizations of exps …

Trip modelling Intermodality Design and Planning Services

4. Contracting

1. OVERCOMING OPACITY

2. SELECTING HOT TOPICS

Page 7: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

7

Framing together the ecosystem

EU Norms Medias

Real

Estate

Urban

powers

Transport

Authorities

Technology Supplier

State

norms

Regulator

Users, Clients

Retail

Network

operators

Source : CERTU Le foncier ferroviaire acteurs et stratégies d’intervention Fiche n° 3 novembre 2012 Gilles Bentayou, avec l’accord de RFF.

Recomposing the ecosystem

Sharing station’s spaces

Page 8: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

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Valuying station activity

Interest for Station Operator • Testing various scenarios • Optimizing and measurability for all station

Purpose • linking investment with performance • ranking service efficient and effective delivery • asserting and comforting processes of costing

Multi criteria assessment • Perimeter of costs • Level of Quality service

Costing methods • Toolkit Development • Standards of cost profiling

Page 9: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

9

Modelling pathways of station development

Atocha

Comparing “pathways” of

station development

Mapping station

typologies

Comparing Types of PP Partnership

Involvment of public

institutions

0

0,5

1

1,5

2

2,5

3

3,5

0 1 2 3

Gare du Nord

Hauptbahnhof Berlin

Milano Centrale

La Part Dieu

Victoria St.

Page 10: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

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From Pedestrian flow understanding to client behaviour prediction

Fast growing volumes

Seamless movement

Speedness Free / limited access

Exclusivity

Conviviality

Security

Catchments

Waiting zones

High Priority Shared interests Contradictory expectations Common questions !

Page 11: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

11

Digitalization and station flows « fertilization »

TRAIN MOVEMENTS

DATAS

URBAN

EVOLUTIONS

ARCHITECTURAL

DATAS)

STATION

FREQUENTATION

DATAS

Flow

Models

Flow

analysis

Multicriteria

analysis

TRAVELLER’S BEHAVIOUR

HYPOTHESIS AND CHOICE MODELS :

• Itineraries and tracks

• waiting patterns

• occupational modes

According to :

• traveller typology, motivation, frequency

• moving alone or group

• space ccognition and perception

•’ information, signals

PARAMÈTRES DES INSTALLATIONS :

•Traffic at doors

•Traffic at stairs

•Vertical circulations

•Horizontal movements

•…

SPATIALIZING TTHE STATION

What critierias ? What types of analyses ?

TARGERTS OF PROJECT OWNER

Spatial calibration : desirealbe to acceptable possibility

CoCost

Feasability

Exploitation constraints

VALIDATION OF SPATIAL

CALIBRATION

SPATIAL CALIBRATION OVERCOME ?

DRAFT RESULTS

THRESHOLDS OVERCOME ?

NO

VA

LID

AT

ION

OF

SP

AT

IAL

CA

LIB

RA

TIO

N

Research Project

Page 12: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

12

9. Sharing results

Revealing interaction potentials for more competitive stations

Page 13: Nacima BARON - NeXTstation · Adding to expertise a research strategy More science for stations ? • Quanti/Quali Methods • Algorithms, Visualization • Case studies • Data

• Nacima BARON of the speaker : • Ecole des Ponts Paris-Tech • [email protected] • www.lvmt.fr

MERCI THANK YOU