gis data management for large infrastructure projects

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As presented by Roland Martin

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GIS Data Management for Large Infrastructure ProjectsRoland MartinSenior GIS Consultant, Arup

19 April 2012

Introduction

1. Who am I?2. What is a large engineering project?3. How does GIS help?4. Managing GIS data5. GIS analysis

We are a global, integrated, multidisciplinary firm of professionals working together to tackle complex planning, infrastructure and building design challenges

10,000 engineers, designers, planners, management consultants and economists

90 networked offices in 37 countries

Full service from concept through completion

Dedicated to delivering value through expertise, global resources and local delivery

Large infrastructure projects

Forth Road Crossing, Scotland Antwerp Scheldt Crossing, Belgium California High Speed Train Project Transbay Terminal, San Francisco

Typical GIS tasks

GIS

Gather information

Analyze information

Manage information

Share information

Data gathering

GIS

Geotechnics

Base Data

Civils

Utilities

General Information

Project data flows

GIS

Rail Engineering

Geotechnical Engineering

Utility Engineering

Bridge Engineering

Environmental teams

Highway Engineering

NoiseAir

Quality

Ecology

Primary data flows

Secondary data flows

On an example rail project...

Project data flows

Rail Alignment

Aerial Imagery

LandParcels

ExistingInfrastructure

Source ALGModelled using InRoads

TIFFPurchased files

MDBPersonal Geodatabase

MixedSHP, MDB and DWG

Required output

DGNGenerated in InRoads

JPEGWith files as small as possible

DGNLabelled with AIN, owner name,

etc DGNAssessed for accuracy

fGDBClassified by construction

method

fGDBClassified by land use

fGDBVariousKMZ

For quick visualisation

MDBDatabase of ownership

information, right of way

Processing alignment into GIS

Land use analysis

Urban areas can be extremely complex

Lots of constraints Parks Churches Prison Healthcare

facilities

Route analysis

Terrain data Faults Land use data Engineering

constraints: Minimum curve

radii Maximum gradient

Keep costs down!

Property counts

Output from acoustic model Noise impact (Ln) from road

Output from air quality model

• Areas with NO2 levels above threshold

Level Properties People Affected

50-55 dB 420 917

55-60 dB 265 606

60-65 dB 317 715

65-70 dB 232 569

>= 70 dB 114 222

Level Properties People Affected

< 40 PPM 823 1782

>= 40 PPM 525 1247

Environmental modeling

Noise mapping Air quality modeling Ecology assessments Odor modeling

Environmental modeling with FME

Noise modeling Air quality modeling

Extracting data from Oracle

Thank You!

Questions?

For more information: roland.martin@arup.com

www.arup.com

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