Mid-America Regional Council Pilot of the Data Business Plan for State and Local Departments of Transportation: Data Business Plan
Appendix C. Stakeholder Survey
- Please identify the organization where you are employed, and what your title is.:Organization:
Count |
Response |
1 |
City of Lee's Summit |
1 |
City of Olathe |
1 |
City of Overland Park, KS |
1 |
HERE North America |
1 |
Johnson County KS |
1 |
KCATA |
1 |
MoDOT |
1 |
PWD-KCMO |
-
What mobility datasets do you or your organization directly collect, develop, maintain, or use? For the purposes of this study, mobility data is defined as volume, speed, and operational performance data for vehicle, freight, bicycle/pedestrian, and transit modes.
Responses "Bike/Ped Other (please specify)" |
Count |
Left Blank |
6 |
Bike Routes, Shared Use Paths, Sidewalks |
1 |
No specific bike/ped counts, but boardings by stop could be used in pedestrian dataset |
1 |
school crossings |
1 |
Responses "Transit Other (please specify)" |
Count |
Left Blank |
7 |
GTFS, operational stats, maintenance, accidents/incidents, etc. |
1 |
See KCATA |
1 |
Responses "Vehicular Other (Please specify)" |
Count |
Left Blank |
3 |
Centerline, Traffic Counts |
1 |
Class |
1 |
Delay |
1 |
O/D |
1 |
Some signal parameters like occupancy percentage, cycle failures, etc. |
1 |
classification |
1 |
Responses "Freight Other (please specify)" |
Count |
Left Blank |
6 |
ADT% of Truck Volume |
1 |
Class |
1 |
Railroads, Truck Routes |
1 |
-
What is your role with respect to each mobility dataset?
|
I am
responsible
for collecting
for uploading
the data |
I use
and/or
analyze
the
data
|
I generate
metadata
and/or
resolve data
quality
issues |
I am an IT professional
responsible for technical
application support, data
security, backup, and/or
storage of the data |
I am an
administrator
and/or designer
for databases
and systems |
Other
(please
specify) |
Responses |
Bicycle Volume |
1 25.0% |
2 50.0% |
0 0.0% |
0 0.0% |
0 0.0% |
1 25.0% |
4 |
Pedestrian volume |
0 0.0% |
3 100.0% |
0 0.0% |
0 0.0% |
0 0.0% |
0 0.0% |
3 |
Bike/Ped other |
1
50.0% |
1
50.0% |
0 0.0% |
0 0.0% |
0 0.0% |
0 0.0% |
2 |
Transit On- Time Arrival |
0
0.0% |
1
100.0% |
0 0.0% |
0 0.0% |
0 0.0% |
0 0.0% |
1 |
Transit Ridership |
0
0.0% |
2
100.0% |
0 0.0% |
0 0.0% |
0 0.0% |
0 0.0% |
2 |
Transit Speed or travel time |
1
50.0% |
1
50.0% |
0 0.0% |
0 0.0% |
0 0.0% |
0 0.0% |
2 |
Transit Other |
0
0.0% |
2
100.0% |
0 0.0% |
0 0.0% |
0 0.0% |
0 0.0% |
2 |
Vehicular Speed or travel time |
3
42.9% |
3
42.9% |
0 0.0% |
0 0.0% |
0 0.0% |
1
14.3% |
7 |
Vehicular volume |
1
16.7% |
4
66.7% |
0 0.0% |
0 0.0% |
0 0.0% |
1
16.7% |
6 |
Vehicular
other |
1
20.0% |
3
60.0% |
0 0.0% |
0 0.0% |
0 0.0% |
1
20.0% |
5 |
Incident/crash data |
2
25.0% |
5
62.5% |
0 0.0% |
0 0.0% |
0 0.0% |
1
12.5% |
8 |
Freight Speed or travel time |
1
50.0% |
0
0.0% |
0 0.0% |
0 0.0% |
0 0.0% |
1
50.0% |
2 |
Freight volume |
0
0.0% |
0
0.0% |
0 0.0% |
0 0.0% |
0 0.0% |
1
100.0% |
1 |
Freight other |
1
33.3% |
1
33.3% |
0 0.0% |
0 0.0% |
0 0.0% |
1
33.3% |
3 |
Please specify your role:Bicycle volume
Please specify your role:Pedestrian volume
Please specify your role:Bike/Ped other
Please specify your role:Transit On-time arrival
Please specify your role:Transit Ridership
Count |
Response |
1 |
MoDOT's role: collect, analyze, share and use it to determine state transit assistance allocation |
Please specify your role:Transit Speed or travel time
Please specify your role:Transit Other
Please specify your role:Vehicular Speed or travel time
Count |
Response |
1 |
MoDOT's role: collect, do a qa review, consume (HERE data), analyze and share data |
Please specify your role:Vehicular volume
Count |
Response |
1 |
MoDOT's role: collect, do a qa review, analyze and share data |
Please specify your role:Vehicular other
Count |
Response |
1 |
MoDOT's role: collect, do a qa review, analyze and share data |
Please specify your role:Incident/crash data
Count |
Response |
1 |
MoDOT's role: collect, do a qa review, analyze and share data |
Please specify your role:Freight Speed or travel time
Count |
Response |
1 |
MoDOT's role: collect, do a qa review, consume (HERE data), analyze and share data |
Please specify your role:Freight volume
Count |
Response |
1 |
MoDOT's role: collect, do a qa review, analyze and share data |
Please specify your role:Freight other
Count |
Response |
1 |
MoDOT's role: collect, do a qa review, analyze and share data |
- Who Collects the Data?
|
We collect it Internally |
We obtain it from another agency |
We purchase it from vendors |
Other |
Responses |
Bicycle volume |
3 100% |
0 0.0% |
0 0.0% |
0 0.0% |
3 |
Pedestrian volume |
3 100% |
0 0.0% |
0 0.0% |
0 0.0% |
3 |
Bike/Ped other |
2 100% |
1
50.0% |
0 0.0% |
0 0.0% |
2 |
Transit On-time arrival |
1 100% |
1
50.0% |
0 0.0% |
0 0.0% |
1 |
Transit Ridership |
2
66.7% |
2
66.7% |
0 0.0% |
0 0.0% |
3 |
Transit Speed or travel time |
2 100% |
0 0.0% |
0 0.0% |
0 0.0% |
2 |
Transit Other |
1
50% |
1
50.0% |
0 0.0% |
0 0.0% |
2 |
Vehicular Speed or travel time |
7 100% |
1
14.3% |
1
14.3% |
0 0.0% |
7 |
Vehicular volume |
6 100% |
3
50.0% |
0 0.0% |
1
16.7% |
6 |
Vehicular other |
6 100% |
1
16.7% |
0 0.0% |
1
16.7% |
6 |
Incident/crash data |
7 100% |
5
71.4% |
0 0.0% |
1
14.3% |
7 |
Freight Speed or travel time |
2 100% |
0 0.0% |
1
50.0% |
0 0.0% |
2 |
Freight volume |
1 100% |
0 0.0% |
0 0.0% |
0 0.0% |
1 |
Freight other |
3 100% |
0 0.0% |
0 0.0% |
0 0.0% |
3 |
Please indicate which agency/agencies you obtain data from.
Count |
Response |
1 |
All cities in JoCo, KDOT, NCATA, county departments |
1 |
Kansas City Police Department, MSHP |
1 |
Rural transit agencies, HWP |
1 |
MoDOT, USDOT, FHWA, Operation Green Light, MARC, KCATA (Transit), School Districts, Misc. State Crash Databases (e.g. Highway patrol, STARS, LETS, etc), Available Health Organization (e.g. Jackson County Health Assessment) |
1 |
KDOT, KHP, Johnson county, other bordering cities in Johnson County (Lenexa, Overland Park, Gardener, etc.) |
Please indicate which vendor(s) you obtain data from.
Please specify Other (i.e., how you obtain the data).
Count |
Response |
1 |
Other traffic data is often obtained from private development/consultants that submit traffic impact studies. |
- On what network?
|
Freeways |
Arterials |
Other (e.g., trails) |
Responses |
Bicycle volume |
0 0.0% |
3 100.0% |
2 66.7% |
3 |
Pedestrian volume |
0 0.0% |
3 100.0% |
2 66.7% |
3 |
Bike/Ped other |
0 0.0% |
2 100.0% |
2
100.0% |
2 |
Transit On-time arrival |
1
100.0% |
1 100.0% |
1
100.0% |
1 |
Transit Ridership |
1
50.0% |
2 100.0% |
2
100.0% |
2 |
Transit Speed or travel time |
1
50.0% |
2
100.0% |
1
50.00% |
2 |
Transit Other |
2
100.0% |
2
100.0% |
1
50.0% |
2 |
Vehicular Speed or travel time |
4
57.1% |
7 100.0% |
3
42.9% |
7 |
Vehicular volume |
3
50.0% |
6 100.0% |
5
83.3% |
6 |
Vehicular other |
3
50.0% |
6 100.0% |
2
33.3% |
6 |
Incident/crash data |
3
42.9% |
7 100.0% |
4
57.1% |
7 |
Freight Speed or travel time |
2
100.0% |
2 100.0% |
0
0.0% |
2 |
Freight volume |
1
100.0% |
1 100.0% |
1
100.0% |
1 |
Freight other |
2
66.7% |
3 100.0% |
2
66.7% |
3 |
Please specify
Count |
Response |
1 |
Other = major/minor collectors |
1 |
Other includes collector and local roads. |
1 |
Vehicular speeds and volumes are taken on arterials and collectors. |
1 |
collect transit data for all routes and stops on a variety of streets |
- 6. On what geographic boundary? (e.g., Johnson County):Bicycle volume
Count |
Response |
1 |
City Limits |
1 |
KCMO |
1 |
Overland Park |
6. On what geographic boundary? (e.g., Johnson County):Pedestrian volume
Count |
Response |
1 |
City Limits |
1 |
City of Olathe |
1 |
KCMO |
6. On what geographic boundary? (e.g., Johnson County):Bike/Ped other
Count |
Response |
1 |
City of Olathe |
1 |
Johnson County |
6. On what geographic boundary? (e.g., Johnson County):Transit Ridership
Count |
Response |
1 |
City Limits |
1 |
region |
1 |
statewide |
6. On what geographic boundary? (e.g., Johnson County):Transit Speed or travel time
6. On what geographic boundary? (e.g., Johnson County):Transit Other
Count |
Response |
1 |
Johnson County |
1 |
region |
6. On what geographic boundary? (e.g., Johnson County):Vehicular Speed or travel time
Count |
Response |
1 |
City Limits |
1 |
City of Olathe |
1 |
City of Olathe |
1 |
Global |
1 |
Johnson County, Miami County |
1 |
KCMO |
1 |
Overland Park |
1 |
statewide |
6. On what geographic boundary? (e.g., Johnson County):Vehicular volume
Count |
Response |
1 |
City Limits |
1 |
City of Olathe |
1 |
City of Olathe |
1 |
Johnson County |
1 |
KCMO |
1 |
Overland Park |
1 |
statewide |
6. On what geographic boundary? (e.g., Johnson County):Vehicular other
Count |
Response |
1 |
City Limits |
1 |
Johnson County |
1 |
KCMO |
1 |
North America & others |
1 |
Overland Park |
1 |
statewide |
6. On what geographic boundary? (e.g., Johnson County):Incident/crash data
Count |
Response |
1 |
City Limits |
1 |
Johnson County |
1 |
KCMO |
1 |
North America & others |
1 |
Overland Park |
1 |
region |
1 |
statewide |
6. On what geographic boundary? (e.g., Johnson County):Freight Speed or travel time
Count |
Response |
1 |
North America & others |
1 |
statewide |
6. On what geographic boundary? (e.g., Johnson County):Freight volume
Count |
Response |
1 |
City Limits |
1 |
statewide |
6. On what geographic boundary? (e.g., Johnson County):Freight other
Count |
Response |
1 |
Johnson County, Miami County |
1 |
statewide |
- Are data collection standards in place for the data?
Bicycle volume
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
66.7% 2 |
50.0% 1 |
60.0% 3 |
No |
33.3%
1 |
0.0%
0 |
20.0%
1 |
I don't know |
0.0%
0 |
50.0% 1 |
20.0%
1 |
Total |
3 |
2 |
5 |
Pedestrian volume
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
100.0%
3 |
33.3%
1 |
66.7%
4 |
I don't know |
0.0%
0 |
66.7%
1 |
33.3%
2 |
Total |
3 |
3 |
6 |
Bike/Ped other
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
100.0%
2 |
100.0%
1 |
100.0%
4 |
Total |
2 |
2 |
4 |
Transit On-time arrival
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
100.0%
1 |
00.0%
1 |
50.0%
1 |
No |
0.0%
0 |
100.0%
1 |
50.0%
1 |
Total |
1 |
1 |
2 |
Transit Ridership
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
100.0%
3 |
66.7%
2 |
83.3%
5 |
I don't know |
0.0%
0 |
33.3%
1 |
16.7%
1 |
Total |
3 |
3 |
6 |
Transit speed or travel time
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
100.0%
1 |
00.0%
0 |
50.0%
1 |
No |
0.0%
0 |
100.0%
1 |
50.0%
1 |
Total |
1 |
1 |
2 |
Transit other
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
50.0%
1 |
00.0%
0 |
33.3%
1 |
I don't know |
50.0%
1 |
100.0%
1 |
66.7%
2 |
Total |
2 |
1 |
3 |
Vehicular speed or travel time
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
85.7%
6 |
100.0%
5 |
91.7%
11 |
No |
14.3%
1 |
0.0%
0 |
8.3%
1 |
Total |
7 |
5 |
12 |
Vehicular volume
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
66.7%
4 |
100.0%
4 |
80.0%
8 |
No |
33.3%
2 |
0.0%
0 |
20.0%
2 |
Total |
6 |
4 |
10 |
Vehicular other
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
83.3%
5 |
100.0%
4 |
90.0%
9 |
No |
16.7%
1 |
0.0%
0 |
10.0%
1 |
Total |
6 |
4 |
10 |
Incident/crash data
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
83.3%
5 |
100.0%
4 |
90.0%
9 |
I don't know |
16.7%
1 |
0.0%
0 |
10.0%
1 |
Total |
6 |
4 |
10 |
Freight speed or travel time
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
100.0%
2 |
100.0%
1 |
100.0%
3 |
Total |
2 |
1 |
3 |
Freight volume
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
100.0%
2 |
100.0%
2 |
100.0%
4 |
Total |
2 |
2 |
4 |
Freight other
|
Yes/No |
If yes, are they adequate? |
Total |
Yes |
100.0%
2 |
100.0%
2 |
100.0%
4 |
Total |
2 |
2 |
4 |
- Are the current datasets meeting your business needs?
|
Yes |
No |
Responses |
Bicycle volume |
1 25.0% |
3 75.0% |
4 |
Pedestrian volume |
3
100.0% |
0
0.0% |
3 |
Bike/Ped other |
2
100.0% |
0
0.0% |
2 |
Transit On-time arrival |
0
0.0% |
1
100.0% |
1 |
Transit Ridership |
3
100.0% |
0
0.0% |
3 |
Transit Speed or travel time |
1
100.0% |
0
100.0% |
1 |
Transit Other |
2
100.0% |
0
0.0% |
2 |
Vehicular Speed or travel time |
6
85.7% |
1
14.3% |
7 |
Vehicular volume |
6
100.0% |
0
0.0% |
6 |
Vehicular other |
5
83.3% |
1
16.7% |
6 |
Incident/crash data |
6
100.0% |
0
0.0% |
6 |
Freight Speed or travel time |
1
50.0% |
1
50.0% |
2 |
Freight volume |
1
50.0% |
1
50.0% |
2 |
Freight other |
1
50.0% |
1
50.0% |
2 |
Why not, and how could you improve the data quality?
Count |
Response |
1 |
Plan and resources for implementation |
1 |
The speed data is random (when residents complain and about speeding in their neighborhood) and sometimes quite old data is used. |
1 |
Need more detailed data, as datasets are based on truck volume, but do not tell us what the truck is hauling, if it's empty or full. |
1 |
Currently the peak/commuter bike volume is counted, but this does not accurately reflect the demand or use to properly measure performance and consider improvements. Daily counts would be more useful, but more time consuming and expensive to obtain. Currently the data collection is done at the same time as vehicle and pedestrian counts to efficiently gather information during the same opportunity. |
1 |
on-time arrival information definition for data collection doesn't match the way public would see as on-time, some technical issues |
- Please indicate with whom is this data shared or made available to:
|
Other divisions/business units within my organization (please specify) |
Other external organizations (please specify) |
General public |
We currently do not share this with anyone |
Responses |
Bicycle volume |
2 66.7% |
1
33.3% |
1
33.3% |
1
33.3% |
3 |
Pedestrian volume |
2 66.7% |
0
0.0% |
1
33.3% |
1
33.3% |
3 |
Bike/Ped other |
2
100.0% |
2
100.00% |
1
50.0% |
0
0.0% |
2 |
Transit On-time arrival |
1
100.0% |
1
100.0% |
0
0.0% |
0
0.0% |
1 |
Transit Ridership |
3
100.0% |
3
100.0% |
3
100.0% |
0
0.0% |
3 |
Transit speed or travel time |
1
100.0% |
1
100.0% |
0
0.0% |
0
0.0% |
1 |
Transit other |
2
100.0% |
2
100.0% |
1
50.0% |
0
0.0% |
2 |
Vehicular speed or travel time |
4 66.7% |
3
50.0% |
3
50.0% |
0
0.0% |
6 |
Vehicular volume |
6
100% |
5
83.3% |
5
83.3% |
0
0.0% |
6 |
Incident/crash data |
6
100% |
4
66.7% |
3
50.0% |
0
0.0% |
6 |
Vehicular other |
3
50.0% |
3
50.0% |
2
33.3% |
1
16.7% |
6 |
Freight speed or travel time |
1
50.0% |
2
100.0% |
1
50.0% |
0
0.0% |
2 |
Freight volume |
1
50.0% |
1
50.0% |
1
50.0% |
1
50.0% |
2 |
Freight other |
2
100.0% |
2
100.0% |
2
100.0% |
0
0.0% |
2 |
Please specify other divisions/organizations you share data with.
Count |
Response |
1 |
Government, enterprise, automotive industry, media, and more. |
1 |
Public Works, Parks, Cities, MARC, Emergency Mgmt. |
1 |
We share the school crossing data with our local school districts and local law enforcement. We share vehicular volumes with KDOT, the Chamber and the public. We share crash data with KDOT. |
1 |
Police Department, Planning Department, Administration Department, MARC, MoDOT, Economic Development Council, City Council, etc. |
1 |
We place a lot of our data on-line for the public to see and use. We also share our counts with MARC. |
1 |
MPOs, RPCs, Blueprint coalition externally; Internally throughout any division/district where data is needed |
1 |
Public Works Department Divisions City Planning Department Divisions Parks & Recreations Department Water Department |
1 |
Ridership is the most publicly-available data, occasionally use OTP and other data for various projects or public purposes. Working on a new regional dashboard. |
- What are obstacles to sharing this data with other entities?
|
Proprietary restrictions (please
specify) |
Data sharing platform (please specify) |
Other (please specify) |
Responses |
Bicycle volume |
0 0.0% |
0 0.0% |
0 0.0% |
0 |
Pedestrian volume |
0 0.0% |
0 0.0% |
0 0.0% |
0 |
Bike/Ped other |
0 0.0% |
0 0.0% |
0 0.0% |
0 |
Transit On-time arrival |
0 0.0% |
2
100.0% |
0 0.0% |
2 |
Transit Ridership |
0 0.0% |
2
100.0% |
0 0.0% |
2 |
Transit speed or travel time |
0 0.0% |
2
100.0% |
0 0.0% |
2 |
Transit other |
0 0.0% |
1
100.0% |
0 0.0% |
1 |
Vehicular speed or travel time |
0 0.0% |
0 0.0% |
1
100.0% |
1 |
Vehicular volume |
0 0.0% |
0 0.0% |
1
100.0% |
1 |
Incident/crash data |
1
33.3% |
1
33.3% |
2
66.7% |
3 |
Vehicular other |
0 0.0% |
0 0.0% |
0 0.0% |
0 |
Freight speed or travel time |
0 0.0% |
0 0.0% |
0 0.0% |
0 |
Freight volume |
0 0.0% |
0 0.0% |
0 0.0% |
0 |
Freight other |
0 0.0% |
0 0.0% |
0 0.0% |
0 |
Please specify
Count |
Response |
1 |
Confidentiality and liability |
1 |
No good structure or user-interface for sharing on a ongoing basis |
1 |
Vehicular data Cost, Transit data format, Crash data requires maintainer's permission |
1 |
cannot share site specific or person specific information on incident/crash data |
- How good is the documentation for each dataset you have/work with?
|
Non-existent |
Bad |
OK |
Good |
Responses |
Bicycle volume |
0 0.0% |
1
33.3% |
2
66.7% |
0 0.0% |
3 |
Pedestrian volume |
0 0.0% |
1
33.3% |
1
33.3% |
1
33.3% |
3 |
Bike/Ped other |
0 0.0% |
0
0.0% |
1
50.0% |
1
50.0% |
2 |
Transit On-time arrival |
0 0.0% |
1
100.0% |
0
0.0% |
0 0.0% |
1 |
Transit Ridership |
0 0.0% |
0
0.0% |
2
66.7% |
1
33.3% |
3 |
Transit speed or travel time |
0 0.0% |
0
0.0% |
1
100.0% |
0 0.0% |
1 |
Transit Other |
0 0.0% |
0
0.0% |
2
100.0% |
0 0.0% |
2 |
Vehicular Speed or travel time |
0 0.0% |
0
0.0% |
4
57.1% |
3
42.9% |
7 |
Vehicular volume |
0 0.0% |
0
0.0% |
3
50.0% |
3
50.0% |
6 |
Vehicular other |
0 0.0% |
0
0.0% |
5
83.3% |
1
16.7% |
6 |
Incident/crash data |
1
16.7% |
1
16.7% |
2
33.3% |
2
33.3% |
6 |
Freight Speed or travel time |
1
50.0% |
0
0.0% |
1
50.0% |
0 0.0% |
2 |
Freight volume |
1
100.0% |
0
0.0% |
0
0.0% |
0 0.0% |
1 |
Freight other |
1
33.3% |
1
33.3% |
1
33.3% |
0 0.0% |
3 |
- What significant changes are planned for the data systems you work with? Include changes in data collection, dissemination, data uses, or storage of the data.
Count |
Response |
1 |
Data can be cumbersome to track and generate useful reports. |
1 |
Source for crash data may change. Possible divided roads in centerline. |
1 |
The plan is no plan |
1 |
TMS Data Zone created to provide TMS data is an easily consumable way, started with traffic data and plan to add safety & other data; TMS Modernization project to bring the software up to data; the new FAST Act/MAP-21 requirements for data based on the final Performance Measure rules |
1 |
We are currently refocusing our priorities to intersection and turning movement counts. We also are looking to start systematic ped and bike counts within our community. |
1 |
We are just starting our bike counting program and setting up our first counters today. We will have some permanent trail counters that will get deployed in the next month or so. |
- Is there a formal structure for managing and governing the data? This could include formally defined roles and responsibilities, formation of a data governance council, or development of a data governance manual and data catalog.
Response "Yes (please specify)" |
Count |
Left Blank |
5 |
Clear license agreement |
1 |
We have a Technology Steering Committee to review significant projects (cost wise) |
1 |
Management structure, defined data collection measures, defined data collection, frequency targets, annual data reporting. Data measures and methods are derived from standards of practice (e.g. FHWA performance metrics, HCM level of service methods) |
1 |
Certain individuals or work groups are tasked with developing count needs and deploying equipment. |
1 |
If no, would setting one be helpful?
- Do you collaborate with other organizations in the region on other topics? (e.g., sharing RFP's for current and upcoming initiatives, procurement plans, program roadmaps, vision/objective documents, sharing of current initiatives, activities, and best practices related to specific types of mobility data)
How does collaboration take place?
Count |
Response |
1 |
Assist with data, planning and analysis. Sharing relevant and available data. |
1 |
Collaboration with MARC and local jurisdictions, data shared on an as-needed basis. |
1 |
Regular Meetings, email, etc. |
1 |
working with agencies to understand their needs |
1 |
Share with MPOs and RPCs by email, webinar, demonstrations in meetings; also share with MPTA on transit data |
1 |
Often one on one communication with others with similar duties in other organizations. Often in person, phone call or e-mail. |
1 |
We have a quarterly meeting with the Johnson County Traffic Engineers to discuss common areas of interest. |
- Do you see any benefit in engaging in a data sharing partnership with MARC?
Responses "Yes (please specify)" |
Count |
Left Blank |
1 |
Depends on what would be shared |
1 |
Interoperability of databases initiated by MARC |
1 |
It's always good to know what is happening nearby. |
1 |
Regional planning |
1 |
We already do some of this. |
1 |
coordinate with ped, bike, and traffic information to improve transit service |
1 |
interested in integration local data into TMS; we currently get KCATA data |
1 |
We are not an island and need to know volumes near our borders so we can predict or respond to those impacts. |
1 |
Responses "No (please specify)" |
Count |
Left Blank |
1 |
- Are there any challenges in engaging in a data sharing partnership with MARC?
Responses "Yes (please specify)" |
Count |
Left Blank |
3 |
Depends if there is data MARC would have to share |
1 |
Dissemination. |
1 |
overcome technical hurdles and establishing roles and responsibilities |
1 |
supporting staff and guidelines |
1 |
Having the same format so data is easily shared; needs to be collected by the same standards and rules |
1 |
Regionally inconsistent data and performance metrics/uses of data between agencies within MARC boundary |
1 |
- Please indicate any additional comments that would help us with this project. For instance, what should MARC look for to achieve an effective data sharing partnership with your organization?
Count |
Response |
1 |
I compiled the comments from Design, Planning, Transit and Safety Staff for this survey. I am not a collector of data but included all MoDOT comments in this one survey. Last comment: There are various levels of "sharing" so clearly defining the scope of sharing is critical. I can share something with you by giving you a hard copy report, emailing you a data set, or set up a database where multiple agencies can enter their data, extract it to analyze and review. This wide range of "sharing" needs clarification on any data integration project. |
1 |
Supporting IT designer to: a) evaluate and compile available data, b) eliminate duplication of efforts to create data, and c) identify the options to generate the needed data |
1 |
When requesting data in an RFP focus on performance specs and standard data sets otherwise if you ask for customized data sets you will end up paying much higher fees. |
|