Acadiana Planning Commission

Data Governance 

Louisiana’s Local Government Partnerships

SAFETY DATA CASE STUDY 

FHWA-SA-21-017 

Federal Highway Administration Office of Safety 

Roadway Safety Data Program 

http://safety.fhwa.dot.gov/rsdp
i SAFETY DATA CASE STUDY FHWA-SA-21-017

Notice 

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ii SAFETY DATA CASE STUDY FHWA-SA-21-017

1. Report No.

FHWA-SA-21-017

2. Government Accession 

No.

3. Recipient's Catalog No.

 

4. Title and Subtitle

Data Governance: Louisiana’s Local Government Partnerships

5. Report Date

May 2021 

6. Performing Organization Code

7.Author(s) 

Ian Hamilton, Bob Scopatz, and Catherine Chestnutt

8. Performing Organization Report No.

9. Performing Organization Name and Address

Vanasse Hangen Brustlin, Inc. (VHB)

940 Main Campus Drive 

Raleigh, NC 27606 

10. Work Unit No.

11. Contract or Grant No.

DTFH61-16-D-00052

12. Sponsoring Agency Name and Address

Federal Highway Administration Office of Safety 

1200 New Jersey Ave., SE

Washington, DC 20590

13. Type of Report and Period

Case Study, January 2020-January

2022 

14. Sponsoring Agency Code

FHWA

15. Supplementary Notes

The contract managers for this report were Esther Strawder and Jerry Roche.

16. Abstract

The Acadiana Planning Commission (APC) is the metropolitan planning organization (MPO) covering the Lafayette, Louisiana 

urbanized area. Although Lafayette proper is highly urban, the MPO in total covers a seven-parish area in southern Louisiana that 

also includes low density rural communities. The number and diversity of local partnerships that comprise APC’s stakeholder 

base represent a common challenge for transportation agencies as they collect safety-related data and make data-driven decisions. 

As part of Federal Highway Administration (FHWA)-sponsored data integration and planning projects in Louisiana, APC and the 

State Department of Transportation and Development (DOTD) created a joint data governance group. From this initial effort, 

APC developed partnerships and processes that help the region manage the data necessary to support APC’s roadway safety 

goals. The core lesson of APC’s success has been its leadership in bringing local agencies into the regional data governance 

group. APC forged the inter-agency and inter-departmental partnerships that are a fundamental feature of their data governance 

programs. The result is better quality safety data tailored to fit the analytic tools and methods APC and DOTD use. As the 

region’s highway safety lead agency, APC uses the improved data to support comprehensive local road safety planning and 

efficient project development. The regional data governance benefited State-level partners like DOTD and the Center for 

Analytics and Research in Transportation Safety (CARTS) at Louisiana State University. Participating in regional data 

governance gives the State agencies a venue for communicating standards, providing technical assistance, and collecting safetyrelated data. State practitioners also gain insights into local road safety issues. This regional approach to data collection and 

maintenance in Acadiana will serve as an example for the rest of the State as Louisiana promotes shared data governance 

processes and a unified transportation safety mission.

17. Key Words: 

Data Governance, Data Integration, Louisiana, 

Local, Partnership

18. Distribution Statement

No restrictions.

19. Security Classif. (of this report)

Unclassified

20. Security Classif. (of this 

page) Unclassified

21. No. of Pages

19

22. Price

Technical Documentation Page
iii SAFETY DATA CASE STUDY FHWA-SA-21-017

Acronyms 

Acronym Description

APC Acadiana Planning Commission

CARTS Center for Analytics and Research in Transportation Safety

DOT department of transportation

DOTD Department of Transportation and Development

EDA Economic Development Administration

ETL extract, transform, and load

FHWA Federal Highway Administration 

FME Feature Manipulation Engine

GIS geographic information system

HPMS Highway Performance Monitoring System

LGISC Louisiana Geographic Information Systems Council

MIRE Model Inventory of Roadway Elements

MPO metropolitan planning organization

NAIP National Agriculture Imagery Program

OSM OpenStreetMap

SDATAP Safety Data and Analysis Technical Assistance Program
iv SAFETY DATA CASE STUDY FHWA-SA-21-017

Table of Contents 

Introduction................................................................................................................................... 1

Partnerships ................................................................................................................................... 2

Data Development........................................................................................................................ 3

Acadiana, DOTD, and Building Data Governance................................................................... 10

Challenges and Solutions............................................................................................................ 10

Next Steps ................................................................................................................................... 11

Conclusions and Lessons Learned ............................................................................................. 11

References .................................................................................................................................... 13

List of Figures

Figure 1. Chart. Nine-step process for safety data integration (Scopatz et al., 2016). .......... 2

Figure 2. Graphic. APC’s data management process................................................................ 4

Figure 3. Graphic. Example of APC’s attribute conflation checks........................................... 5

Figure 4. Graphic. Sample NAIP infrared imagery (2013). ....................................................... 6

Figure 5. Graphic. Sample NAIP imagery classification (2013)................................................ 7

Figure 6. Graphic. Sample NAIP infrared imagery (2019)........................................................ 7

Figure 7. Graphic. Sample NAIP imagery classification (2019)................................................ 8

Figure 8. Graphic. Road Asset Collection Application interface.............................................. 9
v SAFETY DATA CASE STUDY FHWA-SA-21-017

Executive Summary

The Acadiana Planning Commission (APC) is the metropolitan planning organization (MPO) covering the 

Lafayette, Louisiana urbanized area. Although Lafayette proper is highly urban, the MPO in total covers a 

seven-parish area in southern Louisiana that also includes low density rural communities. The number 

and diversity of local partnerships that comprise APC’s stakeholder base represent a common challenge 

for transportation agencies as they collect safety-related data and make data-driven decisions. As part of 

Federal Highway Administration (FHWA)-sponsored data integration and planning projects in Louisiana, 

APC and the State Department of Transportation and Development (DOTD) created a joint data 

governance group. From this initial effort, APC developed partnerships and processes that help the 

region manage the data necessary to support APC’s roadway safety goals. The core lesson of APC’s 

success has been its leadership in bringing local agencies into the regional data governance group. APC 

forged the inter-agency and inter-departmental partnerships that are a fundamental feature of their data 

governance programs. The result is better quality safety data tailored to fit the analytic tools and 

methods APC and DOTD use. As the region’s highway safety lead agency, APC uses the improved data 

to support comprehensive local road safety planning and efficient project development. The regional 

data governance benefited State-level partners like DOTD and the Center for Analytics and Research in 

Transportation Safety (CARTS) at Louisiana State University. Participating in regional data governance 

gives the State agencies a venue for communicating standards, providing technical assistance, and 

collecting safety-related data. State practitioners also gain insights into local road safety issues. This 

regional approach to data collection and maintenance in Acadiana will serve as an example for the rest 

of the State as Louisiana promotes shared data governance processes and a unified transportation safety 

mission.
1 SAFETY DATA CASE STUDY FHWA-SA-21-017

Introduction 

Metropolitan planning organizations (MPOs) perform a unique role in the transportation planning 

process. These federally mandated agencies cover urbanized areas and serve as a hub for local political 

and administrative authorities, conduct regional planning, and coordinate directly with State departments 

of transportation (DOTs). The scope of these activities can range from highly quantitative, such as

supporting Federal Transportation Performance Management goals (23USC §150(b)) required for 

Federal funding, to more qualitative and intangible processes that are no less important. MPOs represent

a collection of local stakeholder agencies that have varying transportation goals and technical capacity. 

An MPO serves as a forum for those stakeholders to develop a unified regional vision and plan.

The Acadiana Planning Commission (APC) is the MPO covering the Lafayette, Louisiana urbanized area, 

approximately 55 miles west of Baton Rouge. Although Lafayette proper is highly urban, the MPO 

covers a seven-parish area in southern Louisiana that also includes low density rural communities. This 

contrast in communities within APC’s jurisdiction is reflected in the MPO’s data business processes and 

needs. Different parish-level agencies, such as public works departments, tax assessors’ offices, and 911 

commissions, all have varying quantities and qualities of data available, and the analysis platforms the 

parish offices use may differ substantially. For instance, some offices maintain records in a geographic 

information system (GIS) software while others rely on static maps and tables. 

The number and diversity of local agencies among APC’s stakeholders mirror a common challenge for 

State and regional transportation agencies as they seek to collect and manage safety-related data and 

make data-driven decisions. Each local partner agency has a unique set of data and analytic capabilities 

which the MPO must understand and work with to gather and use information. APC is a key partner 

with the Louisiana Department of Transportation and Development (DOTD). They facilitate data 

collection and performance monitoring at the local level and share information with the State. 

APC takes a flexible approach to communication with each stakeholder. The purpose of this case study 

is to document the success of APC’s approach to building relationships between the organization and its 

local stakeholder agencies. The case study describes APC’s flexible approach to data collection, 

integration, and governance in the region and its potential as a model for the State. 

Purpose and Need

The Federal Highway Administration’s (FHWA’s) Informational Guide for State, Tribal, and Local Safety 

Data Integration recommends a nine-step process to help public transportation agencies improve their 

safety data capabilities through strong communication and partnerships. It provides a framework for 

agencies to address data gaps and needs (figure 1; Scopatz et al., 2016). As a practical example of this 

approach, APC and DOTD formalized a data governance plan through an FHWA technical assistance 

effort funded as part of the Safety Data and Analysis Technical Assistance Program (SDATAP). This case 

study documents how APC’s local government partnerships provide a mutually beneficial data 

framework for each agency in the region. In addition to its partnerships, APC also piloted innovative 

data collection and aggregation approaches that have improved the accuracy, timeliness, and 

completeness of safety data for the region. This effective approach to data integration not only provides 

benefits for communities within the Acadiana region, it also has the potential to support State-level 

needs for local road inventories and Model Inventory of Roadway Elements (MIRE) data.
2 SAFETY DATA CASE STUDY FHWA-SA-21-017

Target Audience: 

• Local Government Staff.

• Local Technical Assistance Programs.

• 911 Commissions. 

• Data Governance Committees. 

• Data Managers and Stewards.

Partnerships 

Active collaboration and communication among data 

stakeholders is the foundation of a data integration 

initiative (Scopatz et al., 2016). The core lesson of 

APC’s success has been its leadership with respect to

inter-agency and inter-departmental partnerships that 

are a fundamental feature of successful data governance 

programs. This section provides an overview of how 

APC manages its relationships with local partners to 

coordinate data needs and deliver mutually beneficial 

services for the region. 

Acadiana and the Parishes

As an MPO, APC is responsible for a range of planning 

efforts, including economic development, watershed 

management, and transportation. This requires the 

agency to take a leadership role to manage these 

objectives within the Acadiana region. APC’s 

jurisdiction is diverse, both geographically and 

administratively. Each parish has its own professional 

culture, technologies, and workflow. Furthermore, the 

number of administrative divisions (e.g., police districts) 

within each parish increases the number of individuals 

who could potentially participate in a data governance 

effort. This not only affects the number and types of 

datasets that are available, but it also complicates the 

identification of data owners and managers.

Consequently, APC takes a unique approach to 

engaging each of the stakeholder agencies depending 

on their data types and level of data management 

capability. 

APC takes a personal approach to building these 

relationships, and that allows the agency to 

develop the formal and informal administrative 

Figure 1. Chart. Nine-step process for safety data 

integration (Scopatz et al., 2016).

Source: FHWA
3 SAFETY DATA CASE STUDY FHWA-SA-21-017

structures supporting data governance. For example, APC staff conduct in-person meetings at local 

parish offices to better understand these stakeholders’ particular environments and unique workflows. 

The meetings establish an inter-agency line of communication and define how APC and the parish 

agencies can help each other. 

Using relationships among parishes helps APC build connections across agency boundaries. For instance, 

if there is turnover at a parish’s staff, and new staff are not familiar with APC’s role, staff at a peer 

agency in another parish (e.g., a peer public works department) can introduce them to the APC’s staff 

and mission. DOTD outreach on statewide data needs and local road safety planning explains how data 

support DOTD’s mission and serve the parishes. This outreach helps lay the foundation for APC’s work 

with the parishes. Rather than a “cold call,” parish engineers already understand why APC staff are

contacting them. Both approaches help legitimize APC’s work and facilitate the process before it begins.

As APC collects data from parish agencies, it produces refined data products and maps for external 

partners. This service is especially beneficial for local agencies that lack GIS departments or specialized

staff. For example, APC developed a roadway bridge inventory for Vermilion Parish; the parish lacked 

the GIS infrastructure to efficiently accomplish this task, and APC developed that map through its access 

to DOTD’s GIS asset data. APC also helps local parishes produce mapping products in easily accessible 

formats (e.g., Google EarthTM and MapsTM) and provides training for integrating these data with robust 

GIS software. APC is also working with the DOTD to provide local agencies with licenses for ESRI 

ArcGISTM and ArcGIS OnlineTM products. All of these interactions provide reciprocal benefits to APC 

and the local agencies.

Data Development

The goals of data governance include understanding data gaps, identifying data sources, and, ultimately, 

filling those data gaps through collection, sharing, or derivation. Through the FHWA-sponsored effort 

with DOTD, APC recognized the importance of adopting a comprehensive basemap, collecting missing 

information (e.g., traffic volumes), and aligning data with regional and statewide standards. The APC 

focuses its roadway data collection program on finalizing the official basemap for the region. This 

requires solutions that can handle data stored in different formats with varying degrees of precision and 

quality. This section details how APC uses its relationships with its local partners to manage data 

collection challenges to produce the data it needs to support its goals and objectives. 

Acadiana’s Process

The APC uses a four-step process to collect, validate, and integrate local road data into its regional

basemap: 

1. Conflation. 

2. Open source.

3. Imagery collection and classification.

4. Local input.

Each of these steps represents a blend of cooperation between the APC and local parishes, as well as 

innovative pilot efforts to collect data through non-traditional methods. Figure 2 illustrates the goal of 
4 SAFETY DATA CASE STUDY FHWA-SA-21-017

this process to create, “seamless regional roadway data for use on the State and local level” (Acadiana 

Planning Commission, 2020, slide 14).

Conflation

Conflation refers to the process of matching local datasets (e.g., road inventories from 911 commissions 

or public works departments) with the State and regional basemap. This includes checking that data 

records match spatially and characteristically (figure 3). APC uses a customized extract, transform, and 

load (ETL) process for spatial data conflation. This process is similar to proprietary Feature Manipulation 

Engine (FME) software, but it is based on a suite of tools presented at the 2014 ESRI User Conference. 

This workflow assists GIS data managers with spatial adjustment, attribute transfer, and feature change 

detection. These tools have demonstrated their practical applicability to traditional ETL workflows (Lee 

and Ahmed, 2014).

Figure 2. Graphic. APC’s data management process.

© APC
5 SAFETY DATA CASE STUDY FHWA-SA-21-017

Open Source

Open source datasets can be a useful resource for data managers to collect crowd-sourced data that 

may not be included in official datasets. For instance, OpenStreetMapTM (OSM) is a wiki repository of 

open source basemaps and aerial imagery. Contributors update OSM through aerial imagery 

classification, global positioning system devices, and other field maps; contributors can update OSM 

independent of official sources, and updates may occur more frequently or more timely than official 

sources. APC has used OSM to identify new residential development and road closures that may not 

have been incorporated in official State or local dataset releases. 

Imagery Collection and Classification

Based on the agency’s experience with OSM and open source data, aerial imagery has become an 

integral component of Acadiana’s data collection efforts. APC received a grant from the Federal

Economic Development Administration (EDA) to collect aerial imagery. The grant’s stated purpose is to

assist with regional post-hurricane recovery efforts and assess changes to the community, but APC also 

uses it for more routine applications. The entire Acadiana region, including parish-level agencies 

(e.g., 911 commissions), has used these invaluable data to develop its roadway basemap. These data have 

been another cornerstone of the data cooperation between the MPO and the parishes.

APC also piloted an effort to use remote sensing techniques to help collect new housing development 

and roadway information. Remote sensing is a common GIS technique for assessing changes to land 

cover, vegetation growth, and urban development, but it is rarely used to support transportation 

Figure 3. Graphic. Example of APC’s attribute conflation checks.

© APC
6 SAFETY DATA CASE STUDY FHWA-SA-21-017

analysis. APC used aerial imagery from the National Agriculture Imagery Program (NAIP) to determine if 

new road development could be identified through remote sensing techniques. Figures 4 and 5 show the 

results of image processing from 2013 imagery, and figures 6 and 7 show the image classification results 

of the same location in 2019. In this example, the 2013 image shows a dirt road traveling through 

undeveloped fields; the image classification does not detect any development in this location. However, 

the 2019 imagery shows that new residential development has replaced the dirt road, and the image 

classification clearly detects the construction of new paved roads. Although APC has not formally 

adopted this workflow, this example demonstrates its potential applicability to identify new residential 

development and road closures. 

Figure 4. Graphic. Sample NAIP infrared imagery (2013).

Source: USDA
7 SAFETY DATA CASE STUDY FHWA-SA-21-017

Figure 5. Graphic. Sample NAIP imagery classification (2013).

Figure 6. Graphic. Sample NAIP infrared imagery (2019). 

© APC

Source: USDA
8 SAFETY DATA CASE STUDY FHWA-SA-21-017

Local Input

In addition to data conflation, open source collection, and imagery classification, APC collects roadway 

data from local agencies in several different formats. Some parish agencies store complete data in GIS, 

but others, particularly 911 commissions and tax assessors’ offices, house data in Microsoft AccessTM

and ExcelTM databases, aerial images, or scanned PDFs. Furthermore, even if some agencies house data 

in a GIS-compatible format, they may not be fully integrated into a conventional desktop or cloud-based

GIS application. APC accepts information in any format available from parish agencies, and APC is 

piloting a web browser-based application, the Road Asset Collection Application, for local parishes to flag

new development and gaps in road inventories. Local users can indicate the name, build date, and 

beginning and end points of new assets, as well as upload any supporting documents that would help 

detail the asset (figure 8). This information does not need to come with formal GIS information, and 

agencies do not need specialized staff to contribute.

Figure 7. Graphic. Sample NAIP imagery classification (2019).

© APC
9 SAFETY DATA CASE STUDY FHWA-SA-21-017

Figure 8. Graphic. Road Asset Collection Application interface.

© APC
10 SAFETY DATA CASE STUDY FHWA-SA-21-017

Knowledge Transfer

Although there are no formal training programs in place between APC and parish agencies, consistent 

communication helps provide opportunities for knowledge transfer. For instance, APC staff helped 

Vermillion Parish develop an institutional workflow to transfer data from Google EarthTM to an ESRIbased format. Local GIS councils also provide a hub for training, and consistent interaction helps make 

all partners more familiar with APC’s process and data needs. Furthermore, as DOTD continues to be

involved in the data workflow between the State and local agencies, there is an opportunity for the 

agency to help support similar initiatives at other MPOs.

Acadiana, DOTD, and Building Data Governance

As APC works with its local partners to fill its data gaps and refine the region’s data needs, there is an 

opportunity to expand the scope of the effort to coordinate with the State’s data needs (i.e., figure 2). 

This is part of the overall data governance goal established through the FHWA technical assistance. The 

DOTD is an active steward of Louisiana’s roadway and safety-related data. DOTD participates in the 

Louisiana GIS Council (LGISC)—an inter-agency partnership where State and local representatives 

coordinate standards and promote the use of GIS in the State. The LGISC’s digital data committee has 

collaborated with APC and other stakeholders to establish standard dataset schemas. For example, as of

fall 2020, the LGISC completed a statewide address schema and is working on standards for land cover 

and land use data. DOTD also routinely coordinates with the Center for Analytics and Research in 

Transportation Safety (CARTS) at Louisiana State University. CARTS collects, maintains, integrates,

analyzes, and distributes crash data for the State. 

DOTD and CARTS collaborate with APC, and they have invited the MPO to join the recurring meetings 

between the State and university partners. The State-level partnership between DOTD and CARTS 

supports the integration of traditional crash, traffic, and roadway data. The agencies hope to expand on 

APC’s data governance and development process to build collaboration that includes more local input. 

APC’s innovative approach could serve as a model for similar local road initiatives elsewhere in the 

State. For instance, DOTD is working toward developing similar partnerships with other MPOs in the 

State, such as the New Orleans Regional Planning Commission and Southwest Louisiana Regional 

Planning Commission. 

Challenges and Solutions

APC encountered several challenges as it began its data governance development process:

 Parishes have different internal structures and agencies within each local jurisdiction; this complicates 

the number of partners APC could engage for data-related activities.

 Each parish, as well as agencies within the parishes, will have different technologies and technical 

capacities; this means data are not standardized, may not be comprehensive, or initially stored in 

common formats.

 A region with a mix of highly urban and rural communities will not be successfully managed by a onesize-fits-all approach.
11 SAFETY DATA CASE STUDY FHWA-SA-21-017

To meet these challenges, APC’s approach to data governance has been tailored to meet the challenges 

present in its jurisdiction. To accommodate a complex network of agencies and potential partners, the 

MPO takes a personal approach that directly engages individual parishes and uses DOTD support to 

provide a strong foundation for data conversations. The diversity of technologies and capabilities in the 

Acadiana region required APC to use a suite of tools to manage data rather than a single vendor 

solution. Finally, in-person meetings are a valuable way to make connections and better understand the 

needs of partner agencies, but they also serve a practical purpose. More rural parishes may have poor 

broadband access that limit the practicality of virtual meetings and events, and in-person activities 

circumvent this challenge.

Next Steps

The most important next step of this data governance and development process for both APC and 

DOTD is to develop a standard roadway data schema for local and regional agencies to use. This will 

facilitate and promote the flow of data from local agencies to regional and State databases, and it will 

support the missions of local agencies by providing comprehensive and integrated data that support 

planning, engineering, and administrative functions (figure 2). This can be accomplished through 

traditional data governance forums such as the LGISC and meetings between DOTD, CARTS, and APC. 

Once the standard is in place, DOTD and its partners can develop an ETL methodology (or combination 

of methodologies) that can be shared throughout the State. This approach is more flexible than a 

traditional red-lining methodology and can better accommodate the varying levels of data quality and 

sophistication in Louisiana.

Conclusions and Lessons Learned

Acadiana’s partnerships and process help the region build the data necessary to support APC’s roadway 

safety goals. These data allow APC to conduct more comprehensive local road safety planning and more 

efficient project development. To accomplish this result, APC has effectively applied resources from the 

Federal and State levels (e.g., the SDATAP program, EDA grant, and DOTD’s engagement) to promote 

data governance and process improvement. Although APC has taken an innovative and multifaceted 

approach to data collection and aggregation, the foundation of the MPO’s success lies in its working 

relationships with its partners. The data not only support APC’s mission, but the agency can provide

better technical assistance and refined data products that support the goals of each constituent parish. 

Acadiana has noted three key takeaways and lessons learned from its experience:

1. Keep up-to-date aerial imagery and aerial imagery sources; agencies can use these data 

to identify the latest changes, particularly in highly rural communities. In addition to open source 

repositories, APC used a grant from the EDA to collect and validate data.

2. An enterprise system is not always a single vendor solution; different components of 

the data collection, validation, and integration process may require different solutions depending 

on a specific agency’s workflow (as well as those of its partners). 

3. Be flexible with your solutions—one size does not fit all; Acadiana’s four-step process 

requires a flexible approach that can accommodate data from a variety of sources with highly 

variable quality and precision across jurisdictional boundaries. Data format and quality is not, and 

should not be, an insurmountable barrier. 
12 SAFETY DATA CASE STUDY FHWA-SA-21-017

Acadiana’s process is also valuable for State-level partners like DOTD and CARTS. Not only can these 

State/university/local partnerships become valuable forums for communicating standards, providing 

technical assistance, and collecting MIRE- and safety-related data, but a local-road focus can lead to 

significant insights by State transportation practitioners. For instance, the State added 4,000 miles of 

roads (a roughly 8-percent increase) to its annual Highway Performance Management System (HPMS) 

submittal in 2020 through an emphasis on collecting local roads. The HPMS is an important metric for 

allocating Federal transportation funds, and these gains could provide Louisiana with a more 

representative allocation. This innovative example of data collection and maintenance in Acadiana could 

serve as an example for the rest of the State as Louisiana continues to work toward common data 

governance goals, as well as the overall transportation safety mission for the State. 
13

References

 Acadiana Planning Commission. (2020). Innovative Techniques for Managing and Updating Local 

Road Data [PowerPoint Slides].

 Ashley Moran and Phillip Breaux. (2020, March). Innovative Techniques for Managing and 

Updating Local Road Data [Presentation]. Available online: 

https://www.facebook.com/AcadianaPlanningCommission/videos/656780255140468/. 

 Dan, L., and Ahmed, N. (2014). Geoprocessing Conflation Tools: Getting Started and Building 

Workflows [PowerPoint Slides]. Available online: 

https://proceedings.esri.com/library/userconf/proc14/tech-workshops/tw_254.pdf. 

 Phone Interview on November 20, 2020, with Ashley Moran and Alicia Wiltz (APC), Phillip 

Breaux (CARTS), and Jason Carr (DOTD).

 Scopatz, R.A., Goughnour, E., Abbot, D., Tang, E., Carter, D., Smith, S., and Salzer, T. (2016).

Informational Guide for State, Tribal, and Local Safety Data Integration, Federal Highway 

Administration, Report No. FHWA-SA-16-118, Washington, D.C. Available online: 

https://safety.fhwa.dot.gov/rsdp/downloads/fhwasa16118.pdf. 

Contact

Acadiana Planning Commission

Ashley Moran, Transportation Planner

amoran@planacadiana.org

Louisiana Department of Transportation and Development

Jason Carr, GIS Specialist

jason.carr@la.gov

LSU Center for Analytics & Research in Transportation Safety

Phillip Breaux, Data Analyst

pbreau7@lsu.edu