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移动出行智能基本指南(英) otonomo 2022.pdf
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移动出行智能基本指南(英) otonomo 2022.pdf
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YOUR
ESSENTIAL
GUIDE TO
MOBILITY
INTELLIGENCE
Driving growth, improving ROI, discovering
demand, and ensuring sustainability
![](https://csdnimg.cn/release/download_crawler_static/87591681/bg2.jpg)
Contents
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Introduction
What is Mobility Intelligence?
Mobility Intelligence Means Impact
Location, Location, Location - the Power of Demand Discovery
Demand Discovery for Micromobility – Understanding Mobility Stations
The Charging Challenge – Optimizing Charging Station Locations
Visitor Insights
Understand Transportation Through Trac and Route Analysis
Data for Good with Mobility Intelligence Powered Urban Planning
Cutting 20 Minutes Off a Commute – A Case Study
Mobility-as-a-Service – the future of transportation depends on intelligence
Micromobility in the MaaS Ecosystem
Tembici – Powering Micromobility with Data and Actionable Insights
New Opportunities to Monetize Data
Demand discovery and visitor insights to maximize ROI
Mobility Intelligence is Happening Now, Don’t Wait to Use it Too
MOBILITY INTELLIGENCE
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![](https://csdnimg.cn/release/download_crawler_static/87591681/bg3.jpg)
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Introduction
Understanding mobility data is a journey, understanding data is always a journey. It is a process
that begins with taking a measurement and ends with human-friendly insights that can be
translated into meaningful action.
Data
sources
Raw
data
Data
cleansing
engines
Privacy
regulations
compliance
Data Science,
AI and ML
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MOBILITY INTELLIGENCE
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![](https://csdnimg.cn/release/download_crawler_static/87591681/bg4.jpg)
This journey starts with accessing raw data
that is crude by nature and mostly unusable.
Raw data is then normalized, cleansed and
readied for analysis through multiple layers
of data transformation, enrichment, and
consolidation. At this point, the data, in and
of itself, is useful and can be accessed with a
suitable API. Adding visualization tools and
UX makes the data even more accessible and
usable for many use cases.
Mobility intelligence is the next step in the
process, and it is mobility intelligence that
turns data into actionable insights. Data
scientists using machine learning algorithms
derive insights out of data – mobility
intelligence insights that are powerful tools
to enact real change. Creating data-driven
insights supports decision making and
ensures better results.These can be faster ROI,
better allocation of resources, avoiding costly
mistakes, or implementing behavioral changes.
Mobility intelligence can provide access
to powerful tools like defining "personas"
with different characteristics, goals and
preferences. By analyzing mobility across
multiple transportation modes, it can be
enriched with additional layers of information
such as points of interest (POIs), Origin-
Destination (OD), OD matrix, weather,
hazards, construction data, and more, with
opportunities to dive deeper into each.
By focusing on the journey, and on utility
for decision makers, they can derive
understanding from the data’s insights.
It is a tool that empowers organizations’
strategic and tactical decisions by eliminating
guesswork and allowing data-driven choices
to be made.
4
MOBILITY INTELLIGENCE
4
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