Network development and design
A short introduction to the MOVE Meter:
a web based tool to support your
planning process
// 6-Nov-15 //
Content
1. MOVE Mobility
2. MOVE Meter introduction
3. The MOVE Meter in Austin
4. The use of MOVE Meter with HERE in Houston
5. Other features of the MOVE Meter
6. Some technical details
7. Contact information
1. MOVE Mobility
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MOVE MOBILITY
• Founded in 2012
• Focus:
• Front office in business development for
our partners in international markets
• Europe (Germany, UK, Georgie)
• Outside Europe (US, Uganda, South
Africa, Mexico, Kenia)
• Software development and applications
• MOVE Meter
• Monitoring tool
• Our ambition is to support cities in their
transition towards a Smart Moving City
2. MOVE Meter introduction
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The MOVE Meter facilitates planning processes
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pagina 7 Network development and design with the MOVE Meter
It is a web based tool that:
- let you play with different scenarios
- is easy to use by all planners
- presents results quickly (< 10 minutes per scenario)
In the case of Austin and Houston the tool was used to:
- show the bicycle potential
- demonstrate the impact of cycling on congestion
The MOVE Meter results are based on your traffic data.
For Houston actual speed data (on and off peak) was
used.
Basic structure of the MOVE Meter
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pagina 8 Network development and design with the MOVE Meter
User Interface
Your own model info
OD-Matrix and skims
MOVE Meter
MOVE Meter
Link characteristics
Databases
Modules
Loaded link information
OD-Matrix
1.
Socio-economic changes
TAZ info
OD-Skims
2.
Reduce number of trips
BIG Data (i.e. HERE)
Network
3.
Change infrastructure
OD-Manipulation
Route Assignment
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Modules
Accessibility index is based on actual on and off peak speeddata (HERE dataset)
Consult
Add measures
Compare
Base scenario
New scenario
Base Scenario with New Scenario
1. Accessibility and land use
1. Socio-economic changes
1. Accessibility and land use
2. Mobility
2. Reduce number of trips
2. Environment
3. Environment
3. Change infrastructure
3. Traffic and infrastructure
4. Traffic and infrastructure
Accessibility Index
Benchmark and Effects based on Big Data
Delayed trips (travel times peak vs. off-peak)
Amount
Motive
Car or Freight
Direction
Triplength
Loaded network
Speed characteristics
OD information
3. The MOVE Meter in Austin (TX)
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Where is my network congested?
Who is using my network?
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pagina 13 Network development and design with the MOVE Meter
Where to invest in cycling?
What is the potential impact of cycling?
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pagina 15 Network development and design with the MOVE Meter
What did the MOVE Meter add to the process
in Austin ?
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pagina 17 Network development and design with the MOVE Meter
…”Austin officials gave the firm (MOVE Mobility)
transportation planning data from its Metropolitan
Planning Organization (MPO), and they now have a
tool by which to analyze how bicycle infrastructure
can affect the transportation system as a whole. The
introduction to the tool allowed us to see one way
and one tool Dutch cities use to make transportation
decisions related to bicycles."
Overview HERE data (actual on and off
peak speeds on an average weekday).
Short trips on the network
4. The use of the MOVE Meter with HERE
in Houston
Overview of HERE dataset for the Houston area
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You can zoom in to any area
HERE tells you more about congestion
MOVE Meter slides Houston pagina 21
HERE: delay in morning and evening peak
Travel times to zones according to model/here
MOVE Meter slides Houston pagina 23
Assessment of the quality of accessibility
Use the OD matrices to select and plot short
trips (< 7 miles) on a grid
MOVE Meter slides Houston pagina 25
Example of implementation of bicycle programme
Effect of the bicycle programme
Right hand panel shows possible increase of speed on the network due
to decrease in demand
Effect of measures on car accessibility
MOVE Meter slides Houston pagina 29
Impact of infill or sprawl in Utrecht
Network performance based on actual
speeds
Accessibility Index
5. Other MOVE Meter applications
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Click on the zones where you want to build 20.000 houses.
The MOVE Meter calculates trips and divides them over the region.
Impact of infill or sprawl in Utrecht (1)
Scenario 1: Condense in the city Scenario 2: Urban sprawl
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Impact of infill or sprawl in Utrecht (2)
Increase of traffic when condensing Increase when spreading
The use of the Accessibility Indicator (BBI)
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Den Haag Centre :
Monitoring using actual speeds 2013 and 2014
including travel times per distance class
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Difference with other transport modeling tools
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