++---+ The San Francisco Bay Area is one of the most seismically active regions in North America. Earthquakes cause damage that could affect transportation. While seismic risk assessments have been performed on Bay Area road networks, researchers have largely ignored public transit networks. Introduction Measuring the Seismic Risk of Bridges on Transit Lines Jorenne Flores, Mahalia Miller, Professor Jack Baker John A. Blume Earthquake Engineering Center, Stanford University Methods Results/Conclusion Each bridge is given a Structure ID to identify with. Using the maps I created, I recorded the results on a Google Docs spreadsheet. The red indicates the bridges found using Method 2, the orange indicates those that are already on the database provided from Caltrans, and the yellow indicates the bridges found using Method 3. These results can help determine the strength of the bridges and their ability to withstand earthquakes, as well as which areas will be impacted in an earthquake event. Acknowledgements I would like to thank Kaye Storm and Judy McKeon for organizing the RISE Program. Also, a big thank you to my mentor, Mahalia Miller, and Professor Jack Baker for guiding me through this experience. Lastly, I would like to thank the Atkinson Foundation for funding my internship. In this project, I included structural damage to transit networks in a more comprehensive seismic risk assessment. I used the geospatial tool ArcGIS to create maps of four Bay Area transit networks and the bridges that intersect them. This allowed me to visually analyze the impact of earthquakes on these transit lines. Objective All the bridges in the database must be provided with specific information including the structure length, the number of spans, the skew, the materials, which stations they lie in between, and the names of the roads they carry and intersect. In addition to the models, I used images from Evernote and Google Maps to collect this information. Figure 1: Bay Area Transit Networks Analyzed (a) San Francisco Muni Metro (b) VTA Light Rail (c) Caltrain (d) BART Method 1: I used an aerial image in ArcGIS to match the data gathered from Caltrans with the exact location of the bridges. Method 2: In ArcGIS, after identifying the bridges already modeled from the Caltrans data, I used the aerial image again to locate extra bridges not yet included in the database. Method 3: I rode on the transit line and took photos of the bridges I passed using an app called Evernote. Along with the photos, this app also recorded the latitude and longitude in which I took the photo. Using the latitude and longitude, I mapped the data and matched them with the exact locations of the bridges on the aerial image. This data also, for example, provided new information about bridges carrying the Caltrain line. a d c b

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The San Francisco Bay Area is one of the most seismically active regions in North America. Earthquakes cause damage that could affect transportation. While seismic risk assessments have been performed on Bay Area road networks, researchers have largely ignored public transit networks.

Introduction

Measuring the Seismic Risk of Bridges on Transit Lines Jorenne Flores, Mahalia Miller, Professor Jack Baker

John A. Blume Earthquake Engineering Center, Stanford University

MethodsResults/Conclusion

Each bridge is given a Structure ID to identify with. Using the maps I created, I recorded the results on a Google Docs spreadsheet. The red indicates the bridges found using Method 2, the orange indicates those that are already on the database provided from Caltrans, and the yellow indicates the bridges found using Method 3.

These results can help determine the strength of the bridges and their ability to withstand earthquakes, as well as which areas will be impacted in an earthquake event.

Acknowledgements I would like to thank Kaye Storm and Judy McKeon for organizing the RISE Program. Also, a big thank you to my mentor, Mahalia Miller, and Professor Jack Baker for guiding me through this experience. Lastly, I would like to thank the Atkinson Foundation for funding my internship.

In this project, I included structural damage to transit networks in a more comprehensive seismic risk assessment. I used the geospatial tool ArcGIS to create maps of four Bay Area transit networks and the bridges that intersect them. This allowed me to visually analyze the impact of earthquakes on these transit lines.

Objective

All the bridges in the database must be provided with specific information including the structure length, the number of spans, the skew, the materials, which stations they lie in between, and the names of the roads they carry and intersect. In addition to the models, I used images from Evernote and Google Maps to collect this information.

Figure 1: Bay Area Transit Networks Analyzed (a) San Francisco Muni Metro (b) VTA Light Rail (c) Caltrain (d) BART

Method 1: I used an aerial image in ArcGIS to match the data gathered from Caltrans with the exact location of the bridges.

Method 2: In ArcGIS, after identifying the bridges already modeled from the Caltrans data, I used the aerial image again to locate extra bridges not yet included in the database.

Method 3: I rode on the transit line and took photos of the bridges I passed using an app called Evernote. Along with the photos, this app also recorded the latitude and longitude in which I took the photo. Using the latitude and longitude, I mapped the data and matched them with the exact locations of the bridges on the aerial image. This data also, for example, provided new information about bridges carrying the Caltrain line.