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Social Media and Big Data for Transportation Planning Three Case Studies from GHMPO
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Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Jul 13, 2020

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Page 1: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Social Media and Big Data for Transportation PlanningThree Case Studies from GHMPO

Page 2: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Presenters

JOSEPH BOYD, AICPGHMPO

STEVE COTE, AICPRS&H

CAROLINE EVANS, AICPBLUE CYPRESS CONSULTING

Page 3: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Three Case Studies from GHMPO

Dawsonville Highway – McEver Roadhttp://www.ghmpo.org/DocumentCenter/View/1152/Dawsonville-Hiwy-McEver-Rd-Connectivity-Study_Final

1Jackson County Transportation Planhttp://www.ghmpo.org/DocumentCenter/View/1314/Final-Report---Jackson-County-Transportation-Plan-September-2019?bidId=

2GHMPO Regional Transportation Planhttp://www.ghmpo.org/180/Gainesville-Hall-RTP-2020-Update

3

Page 4: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Dawsonville Highway – McEver Road Connectivity Study

Page 5: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Project Location

The Study scope entailed the retail corridor surrounding the Dawsonville Highway and McEver Road Intersection (State Route 53)

Page 6: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Project Background

• Severe Traffic Congestion• Rapid Development

• Mainly retail but some new housing developments in the vicinity as well

• Existing Housing• Established

neighborhoods to the north and south of the corridor

• Limiting Geography• Lake Lanier

surrounding three sides of the corridor

Page 7: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach – Social Media

• Facebook geofencing• 1,517 people got the ad pushed

to their phone• Focused on the area directly

around the intersection• Twitter

• Instagram

Page 8: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach –Survey Response

• Q4. On weekends, do you avoid the Dawsonville Highway - McEver Road study area at certain times due to traffic congestion? (select all that apply)

Page 9: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach –Survey Response

• SurveyMonkey• 644 participants

• Wikimapping• 110 participants

Page 10: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach -Meetings

Page 11: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Big Data and Analysis

Page 12: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Big Data and Analysis

• Origins and Destinations (O&D)• Vehicles • Trucks

• Congestion “Hot Spots” • Locations • Time of Day• Origins and Destinations

• Safety Concerns

Page 13: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Origins and Destinations

• What? • Autos• Trucks

• Where?• Study area limits (x3)

• When? • Weekend/Weekday• Time (AM/PM)

• Why? • Local trips• Through trips

Page 14: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Origins and Destinations

Page 15: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

O&D Matrix

Source:

Page 16: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Detailed Analysis

Page 17: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

O&D Results: Big Data vs. Survey

Page 18: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Corridor Congestion

When…

Where…Source: INRIX / RITIS

Page 19: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Congestion & Safety

Big Data vs. Survey

Page 20: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Jackson County Transportation Plan

Page 21: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Project Location

All of Jackson County, including cities

Page 22: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Project Background

• Why Was it Needed?• No update to the

county-wide transportation plan since 2008

• Better coordination between County and Cities desired

• Jackson County growing• Rapid

industrialization along I-85

• Background• The southwestern

portion of urbanized Jackson County and the cities of Braselton and Hoschton joined GHMPO following the 2010 US Census

• First stand-alone plan produced in partnership with GHMPO

Page 23: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach –PublicInput

Page 24: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Social Media Campaign Matrix

Page 25: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Social Media and Survey - Results

Date Subject Impressions * People Reached ** Link Clicks Comments10/4 to 10/18 Survey 8,730 5,903 457 9

10/9 to 10/18 Event 5,243 3,439 106 0

10/9 to 10/18 Event 2,682 2,310 53 0

Survey Participants Live WorkInside Study Area 217 211Outside Study Area 260 282Total 477 493

Page 26: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach –Survey Response

• Please drop a pin on any specific locations that you deem as a problem area in Jackson County and explain the location and problem

Page 27: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach –Survey Response

• Please drop a pin where you would like to see a bus stop

Page 28: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach –Pop-Ups as Meetings

Page 29: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Congestion (Big) Data

Travel Demand Model RITIS/INRIX Bottlenecks

Page 30: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Survey Input: Clusters / Trends?

Page 31: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Safety Data vs. Survey

Page 32: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Deep Dive… Causes and

Potential Solutions

Page 33: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Transit Propensity?

Page 34: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

GHMPO Regional Transportation Plan

Page 35: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Project Location

• Entire GHMPO Area

Page 36: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Project Background

• Federal Requirement• MPOs are required to

update their Regional Transportation Plan (RTP) every 4-5 years

• RTP must plan for 25+ year horizon

• Communities Evolve• New developments may

spur new transportation needs

• Previously planned projects may no longer be needed

• Community priorities may change

• Funding Sources May Change• Funding is not

guaranteed, may go up or down

• New funding sources may become available (HB 170)

Page 37: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach –PublicInput

Page 38: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Social Media Campaign Matrix

Page 39: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Social Media - Results

Page 40: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach – Survey ResponseAdd points to the map to indicate congestion, and leave us a comment

Page 41: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach –Survey Response

• Add a point(s) to the map to indicate a location where you would like to see bus service offered.

Page 42: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Public Outreach –Pop-Ups and Meetings

Page 43: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Travel Demand and Travel Time Index Data

Page 44: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Safety Analyses – Crash Locations

Page 45: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Safety Analyses – High Crash Segments

ALL CRASHES INJURY CRASHES FATALITY CRASHES

Page 46: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Where do you live and Work?

Page 47: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Identified Congestion

Identified Safety

Concern

Page 48: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Bus Service – Desired Locations Bike and Pedestrian Facilities – Desired Locations

Page 49: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Incorporating Performance-Based Planning

Criteria Reported Metric

Truck Use Percent

Congestion

2015 Base Year Volume-to-Capacity (V/C)

2050 Base Year V/C

Change in V/C (2015 to 2050)

Safety

Bike/Ped Crashes (All, Injury & Fatality)

Crash Rates (All, Injury & Fatality)

Category CriteriaFreight Supports FreightTourism Supports Tourism

Other

Planned Bike/Ped Facilities Existing / Planned TransitRegional Multimodal ConnectionsImproved Access to AirportImpacts to Natural ResourcesImpacts to Historic Resources

Outreach Local Support

Quantitative Qualitative

Page 50: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Recommendations!

Page 51: Social Media and Big Data for Transportation Planning · 2019-11-12 · Social Media and Survey - Results Date Subject Impressions * People Reached ** Link Clicks Comments 10/4 to

Thank you and Questions• Joseph Boyd, AICP [email protected]

• Steve Cote, AICP [email protected]

• Caroline Evans, AICP [email protected]