The University of California San Francisco (UCSF) is undertaking an initiative to revitalize the Parnassus Heights campus. This effort, outlined in the UCSF Comprehensive Parnassus Heights Plan (CPHP), includes constructing several major capital projects and upgrading existing buildings and infrastructure.Given the extensive scope of this program, UCSF has implemented a Construction Logistics Management Program to minimize impacts and disruptions to campus stakeholders, patients, and the surrounding community. Additionally, the program facilitates coordination among various departments involved in the construction efforts, which often operate in silos, ensuring a more cohesive and efficient approach to project execution.A key tool within this program is a GIS web application, which serves as a system of record for documenting construction activities. This application supports decision-makers by providing essential data for day-to-day operations and logistics planning, enabling a more seamless and informed approach to project execution.However, the GIS application presented a challenge as it operated as a closed system, lacking the capability to provide updates or notifications to users external to the platform. Another challenge was that users would have to manually log into the system to check for updates. To address this limitation, UCSF initiated a project to develop a notification system designed to alert users about upcoming scheduled work and prompt them to update relevant data using FME Flow. This enhancement aims to improve communication, ensure timely updates, and boost operational efficiency. The resulting communication delivered all summaries in a crafted html table that contained hyperlinks to Survey 123 forms and embedded images as thumb nails depicting a map of the impacted area leveraging the GIS layers produced during data collection.The introduction of the summary email has further streamlined the process by providing stakeholders with a concise overview of upcoming impacts for the week. This enables them to effectively plan, schedule, and coordinate construction efforts, reducing potential conflicts and enhancing operational efficiency. Additionally, the email includes direct links to the GIS application for access and an attachment summarizing all upcoming impacts, ensuring stakeholders have all the necessary information at their fingertips.

1. Notification System
for Construction
Logistics Application
Jacobs
The Peak of Data
and AI 2025

2. 2025
The
Peak
of
Data
and
AI
Jeremy
Quan
GIS Professional
Jacobs

3. 1. Background
2. Solution Architecture
3. FME Forms
4. Lessons Learned and Results
Agenda

4. 2025
The
Peak
of
Data
and
AI
Background
● University of California, San Francisco
(UCSF) campus revitalization.
● Several capital projects, building and
infrastructure upgrades.
● Construction Logistic Management Program
o Minimize impact and disruptions
o Enable communication amongst stakeholders
(siloed datasets)

5. 2025
The
Peak
of
Data
and
AI
Use of GIS
● GIS as system of record for construction
activities
○ Day to day operations
○ Logistics for planning
● Seamless platform for project execution
● Operates as a closed system
○ Lacks notification capabilities for changes
○ Users need to sign into the systems to see
data

6. 2025
The
Peak
of
Data
and
AI
Capturing Construction
Activities/Impacts

7. 2025
The
Peak
of
Data
and
AI
Construction Logistics Management
Program Requirements
● Centralize stakeholder updates
● Build a notification system around FME Flow
○ Read in data from AGOL and perform analysis
● Create a weekly email summary of upcoming activities with in next 7 days
● Send emails to record owners 72 hours before an impact is scheduled to start
and end
● Embed thumbnails of impacts

8. 2025
The
Peak
of
Data
and
AI
Solution Architecture
Run Hourly
Run Daily/
Weekly
Survey123 AGOL FME Flow

9. 2025
The
Peak
of
Data
and
AI
FME Flow – Impacts Starting/Ending within 7 Days

10. 2025
The
Peak
of
Data
and
AI
FME Flow – Impacts Starting/Ending within 7 Days

11. 2025
The
Peak
of
Data
and
AI
FME Flow – Impacts Starting/Ending within 7 Days
Output

12. 2025
The
Peak
of
Data
and
AI
FME Flow – Impacts Starting/Ending within 7 Days
Output

13. 2025
The
Peak
of
Data
and
AI
FME Flow – Impacts Starting/Ending within 72 Hours

14. 2025
The
Peak
of
Data
and
AI
FME Flow – Impacts Starting/Ending within 72 Hours

15. 2025
The
Peak
of
Data
and
AI
Thumbnail Generation

16. 2025
The
Peak
of
Data
and
AI
Thumbnail Generation

17. 2025
The
Peak
of
Data
and
AI
Video Demo

18. 2025
The
Peak
of
Data
and
AI

19. 2025
The
Peak
of
Data
and
AI
Lessons Learned
● MapnikRasterizer point symbols – JPEG vs SVG
● Webhook issues
○ Change in Location of impact need notification
○ Cloud and Local System Integration
○ UCSF IT working with Safe to resolve issues
● FME Flexibility

20. 2025
The
Peak
of
Data
and
AI
Results
● Solution could have been generated with custom code
○ More expensive
○ More difficult to maintain
○ More development time
● Fast solution development with FME Form and Flow
○ Flexibility with client changes

21. 2025
The
Peak
of
Data
and
AI
Lessons Learned and
Results
● MapnikRasterizer point symbols – JPEG vs SVG
● Webhook issues
○ Change in Location of impact need notification
○ Cloud and Local System Integration
○ UCSF IT working with Safe to resolve issues
● Solution could have been generated with custom code
○ More expensive
○ More difficult to maintain
○ More development time (ArcGIS Python API)
● Fast solution development with FME Form and Flow
○ Flexibility with client changes

22. 2025
The
Peak
of
Data
and
AI
Gerry
Boquin
Data and Analytics
Jacobs
Kristen
Ponak
Geospatial Solution Architect
Jacobs
Special Thanks

23. 2025
The
Peak
of
Data
and
AI
ThankYou
Jeremy Quan
Jacobs
Jeremy.quan@jacobs.com

24. 2025
The
Peak
of
Data
and
AI
Questions?
Jeremy Quan
Jacobs
Jeremy.quan@jacobs.com