Presentation - HIDALGO COUNTY MPO

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Economic Costs of Critical Infrastructure

Failure in El Paso-Juarez Region

Border to Border Transportation Conference

November 20, 2014

Jeff Shelton, Sharada Vadali, Gabriel Valdez, Shailesh Chandra, Arturo Bujanda

Texas A&M Transportation Institute

Mike Medina

El Paso Metropolitan Planning Organization

Contents

• The Context

• Extreme Event Modeling Framework

• Economic Framework

• Concluding Remarks

2

The Context: Cross Border Trade Flows

Trade Value (Billions $) : 2013 ($507 Billion) ($280 b imports and $226 b exports)

3

TX Land Ports of Entry Are Vital for

Trade and Will Continue to be so..

Top 10 Ports by Trade Value (Billions of US$) ranked by total trade for USA- NAFTA partner trade in 2011. (U.S. DOT,

Research and Innovative Technology Administration, Bureau of Transportation Statistics,TransBorder Freight Data, 2012)

% Export

Value

%Import

Value

% Total

Trade Value

Name Total Trade

Value

Laredo, TX

Detroit, MI

(Truck)

117

99

Buffalo-Niagara, NY 62

El Paso, TX

Port Huron, MI

Otay Mesa, CA

Champlain Rouses Pt,

NY

Hidalgo, TX

Santa Teresa, NM

Pembina, ND

21

18

17

51

48

33

24

9

7

12

22

30

11

10

54

58

37

Export Value

(Truck)

Import

Value

(Truck)

63

40

26

29

18

22

12

15

10

5

7

10

3

3

17

18

12

3

2

4

10

6

7

4

21

13

9

5

3

2

8

8

5

4

19

16

10

3

3

3

4

Aging Infrastructure – Underinvestment or

Disinvestment in Critical Links Could be

Costly…

5

What did we do?

• Developed a DTA model of the El Paso/Juarez region

• Ports-of-entry

• Traffic signals

• Accurate geometry

• Traffic flow models

6

Dynamic Traffic Assignment Modeling

Framework to Simulate Traffic Effects of

Failures…

Port of Entry (POE) and the Bridge of the

Americas (BOTA)

Simulation Area: LPOE connecting to

I-10 interchange.

7

Dynamic Traffic Assignment Modeling –

Simulated Area and Infrastructure..

8

Modeling Framework to Simulate Economic

Implications... Teasing out Domestic,

International Flows

9

Modeling Framework to Simulate Economic

Costs to System Users

Data Output

Base Case Short Term Long Term

Zonal Trips

Zonal Travel

Times

Decide ‘Hotspot’ Zones based on Trip Volumes

Trip Diversion Rates

Cost Parameter and Inputs

Shippers and

Carriers

Time Delay Costs-Truckers/Carriers

Operating Costs-Truckers/Carriers

Fuel Costs-Truckers/Carriers

Industry Costs-Additional Inventory Costs

Industry Costs-Additional Freight Shipment

Costs

Border Delay Costs

Zonal Travel

Distances

10

Costs Imposed to Society Can be

Large…

11

What does this mean?

12

Average Travel Time - Trucks

Before event

31 mins

Next day

130 mins

Several weeks

42 mins

13

Preliminary Results and Conclusions

 For the term immediate to disruption, the loss is at an accelerated rate of $2.5 million per day for the shippers and carriers. Peak periods have the highest loss.

 Longer term costs on a per day basis are lower but will accumulate depending on length of replacement schedules and ability of trucks to shift to alternate POEs besides Zaragoza or Santa Teresa.

 Regional spillover costs (indirect and induced) are not considered.

 Possibilities include exploring mitigation strategies and looking at important supply chains and trade flows.

14

Concluding Remarks (contd.)

 Vital for agencies to consider regional resilience as part of preparedness and,

 Continuity planning for businesses along corridors.

15

Thank You

Questions?

16

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