a data-information sharing framework for roading organizations’ response to a natural disaster

A data/Information Sharing Framework for Roading Organizations’ Response to

a Natural Disaster

Dharmista GohilDr. André DantasDr. Erica Dalziell

Resilient Organisations Research Programme, Civil Engineering Department, University of Canterbury, Christchurch, New Zealand

Outline of the presentation

• Context• Data/Information Sharing Framework• Case Study• Conclusions• Limitations• Further research

Context

MCDEM

Context

PoliceRoading

Organizations

Local/Regional Offices

Media

TelecommunicationHospitals

Fire Services

Transit NZ

Large event

Transit HQ Land Transport NZ Ministry of Transport

MCDEM

CivilDefence

Small event

Contractors

Consultants

Transit NZ

Medium event

Lifeline orgs

Local/Regional

Authorities

Organizations involved in

response activities

Phases during emergency response

activities Event

Observation

Event Occurrence

Event Assessment

Resource Deployment

Event Reporting

EventRe-assessment

STOP

DGIS

Data/Information

Framework

Contractors

Consultants

Transit NZCivil

Defence

RAMM

Data/Information

Framework

Information Management Cycle

Information Needs

Information Acquisition Information use Adaptive

Behavior

Information Organisation and Storage

Information products and services

Information distribution

Data/Information

Framework

•Information needs- IDEF0

0

Input

Control

Output

Mechanism Call1

2 3

4 5

6

7

8

9

More general

More detailed

Data/Information

Framework

•Information needs for phases 3 and 4

To assess eventsin situ

P3

Pavement surface

Signpost details

Road markingsFoundation details

Culvert details

Road nameRoad segment ID

TNZ's regional office Contractor

s

Consultant MCDEM Local/regional

authorities

Damage location

Damaged road IDPossible Detour routesSignposts missing

Bridge damaged

Site environment

Foundation damage

Culvert damage

Treatment required

RAMM GIS

To take response actions

P4

Decision on treatmentResources like material, personnel, equipments,etc

Suitable condition for repair

Prioritization of response

Repaired road conditionPavement repaired

Bridge repaired

Signpost repairedRoad marking

made

Foundation repaired

Resources used

Time taken

TNZ's regional off ice Contractor

s

Consultant MCDEM Local/regional

authorities

RAMM GIS

Data/InformationFramework

•Data/Information Acquisition

DGIS

RAMM

External Organizations

Contractors in situ inspection

Data/InformationFramework

•Data/Information organization & storage

●

● ●

●●●

●

● ●●● ● ●

Region

State Highway+

River+

Bridge

+

=

+

Signpost

Final map

Data/Information sharing

GIS system 'A'

Convert from system' A' formatto neutral format

Neutral format data (toanyone)

data data

GIS system 'B'

Convert from Neutral format

to system 'B' format

Neutral format data (from anyone)

data data

•Neutral format

Case Study

C

C

CC

C

C

CC

C

NZ CoastState Highway

Accident Black iceC Contractors office

Fire Floods Rain Rockfall Slips Snow Washout

100000 0 100000 200000 Kilometers

N

EW

S

Road Closure events from

April 2004 to March 2005

Event Type (Y) Emergency Level (EL) eEL;Y

Y=1 (accidents) e1;1 Y=2 (slips) If RTe <6 hours, EL=1 e1;2 Y=n (....) EL=1 e1;n Y=10 (Black ice) e1;10 Y=1 (accidents) e2;1 Y=2 (slips) If 6 < RTe < 24 hours, e2;2 Y=n (…..) EL=2 e2;n Y=10 (black ice) e2;10 Y=1 (accidents) e3;1 Y=2 (slips) If RTe > 24 hours, e3;2 Y=n (….) EL=3 e3;n Y=10 (black ice) e3;10

Categorization of Road closures

Case Study

Case Study

Calculation of Time & Cost

•Current Practice- Time and cost for each phase

Occurrence time Traffic flow (AADT) t1[EL;Y]

6AM-8PM 8 PM- 6 AM >2000 2000 to 4000 4000 to 6000 6000 to 8000 8000 to 10000 >10000

RTe*8%

RTe*7%

RTe*6%

RTe*5%

RTe*4%

RTe*3%

RTe*10%

RTe*9%

RTe*8%

RTe*7%

RTe*6%

RTe*5%

Example- Time for event observation phase

Case Study

Calculation of Time & Cost

•Using the Data/Information FrameworkPhases

1 2 3 4 5 6 7 8

Scenario 1 0.00% 0.00% 2.50% 2.50% 12.50% 12.50% 2.50% 2.50%

Scenario 2 0.00% 0.00% 5.00% 5.00% 15.00% 15.00% 5.00% 5.00%

Scenario 3 0.00% 0.00% 1.00% 1.00% 10.00% 10.00% 1.00% 1.00%

Case Study

Results

93659

162342

49952

0

20000

40000

60000

80000

100000

120000

140000

160000

180000

Cost

in N

Z $

Scenario 1 Scenario 2 Scenario 3

(3.2%)

(5.5%)

(1.7%)

•Small emergencies

Case Study

0

200

400

600

800

1000

1200

1400

1600

Scenario 1 Scenario 2 Scenario 3

Cos

t in

NZ

$

Accident Slips Flooding Snow Fire Highwinds

•Medium emergencies

0

200

400

600

800

1000

1200

1400

1600

1800

Scenario 1 Scenario 2 Scenario 3

Cos

t in

NZ

$

Accidents Slips Flooding Snow Rain

•Large emergencies

0

1000

2000

3000

4000

5000

6000

7000

Scenario 1 Scenario 2 Scenario 3

Cos

t in

NZ

$

Slips Flooding Snow

Conclusions

•From the case study, we can conclude that data/information framework is applicable for small, medium & large emergencies

DGIS

Data/Information framework

Small

Medium

Large

Limitations

•DGIS prototype is yet to be developed

•Limited information on road closures for the case study for calculation of cost and time

Further Studies

•Development of data/information prototype in DGIS

•Testing of the prototype in real emergency event for its efficiency & applicability