This document summarizes a presentation given by Yohei Fujigaki on mobility as a service (MaaS). It discusses three ways of thinking that lead to MaaS: 1) improving local public transportation, 2) utilizing new ICT-driven mobility services, and 3) introducing fully autonomous vehicles. It also presents examples of MaaS packages from Finland and an analysis framework called the "multi-cycle model" to evaluate MaaS demand, efficiency, and pricing/contract policies over multiple cycles of user and supplier decisions.
James Riley has spent the last few months helping our lab develop some baseline information about the evolution of transportation and infrastructure in Bangalore. Here is the first cut of a presentation he gave that summed up some of that research.
(Bj lee)user centered public transit information servicesBackjin Lee
To develop User-Centered PTI service,
Providing public transit information in corresponding with
different needs of individuals
Providing value added information
Providing seamless information
Supporting user’s daily activities
Simple, Instinctive and Easy-learning Systems
ALTERNATE ROPEWAY TRANSIT SYSTEM FOR MANPADA ROADcivej
Cities grow in dynamic complex patterns, creating many problems. The study area of Dombivli - Manpada road has grown haphazardly in past decade due to population xplosion. Manpada road attracts heavy traffic but due to narrow roads and inefficient transit options, it leads to severe traffic congestion, side friction, delays, stress, accidents and other problems. Alternate ropeway transit system provides a better
public transit option and plays important role in reducing use of fossil fuels thus helping fight climate change. Total travel during peak hours is expected to double from 48000 to 88000 by 2031 which needs to be supported by various public transits. Cost benefit analysis is used here for evaluating desirability of project by weighting benefits against costs. Ropeway is expected to provide sustainable development,
efficient and effective public transit option and contribute to protection and enhancement of environment.
James Riley has spent the last few months helping our lab develop some baseline information about the evolution of transportation and infrastructure in Bangalore. Here is the first cut of a presentation he gave that summed up some of that research.
(Bj lee)user centered public transit information servicesBackjin Lee
To develop User-Centered PTI service,
Providing public transit information in corresponding with
different needs of individuals
Providing value added information
Providing seamless information
Supporting user’s daily activities
Simple, Instinctive and Easy-learning Systems
ALTERNATE ROPEWAY TRANSIT SYSTEM FOR MANPADA ROADcivej
Cities grow in dynamic complex patterns, creating many problems. The study area of Dombivli - Manpada road has grown haphazardly in past decade due to population xplosion. Manpada road attracts heavy traffic but due to narrow roads and inefficient transit options, it leads to severe traffic congestion, side friction, delays, stress, accidents and other problems. Alternate ropeway transit system provides a better
public transit option and plays important role in reducing use of fossil fuels thus helping fight climate change. Total travel during peak hours is expected to double from 48000 to 88000 by 2031 which needs to be supported by various public transits. Cost benefit analysis is used here for evaluating desirability of project by weighting benefits against costs. Ropeway is expected to provide sustainable development,
efficient and effective public transit option and contribute to protection and enhancement of environment.
Urban transportation is undergoing massive change and expansion, especially in the developing world. The rapid growth of cities is driving demand for better urban transportation and many cities are set to invest heavily in infrastructure. Unfortunately, the needs of low-income households are often overlooked in the selection, design, and service decisions related to these investments. According to the World Bank, urban public transportation systems disproportionately disadvantage the urban poor and vulnerable, especially in cities in the developing world.
Meanwhile, innovative business and service models are emerging that are disrupting the established transportation systems in cities by taking advantage of open data, the Internet and mobile telephony. Services such as bike share, ZipCar®, Waze®, Hopstop®, and Uber® are reducing consumption and reconfiguring the relationship between modes, users, and providers of transportation. These new approaches improve urban transportation by making it more efficient, dependable, and sustainable.
As Susan Zielinski of the University of Michigan’s SMART Initiative puts it, “Transportation is at a crossroads. In response to rapid urbanization, shifting demographics, and other pressing social, economic, and environmental factors, cities and regions are shifting investment dollars from single mode infrastructure to multi-mode, multi-service, IT-enabled door-to-door systems… innovations and opportunities (are going) beyond the bounds of the traditional transportation industry.”
Collectively referred to as the emerging New Mobility sector, this innovative industry sector provides a key opportunity to build more inclusive cities and more resilient communities.
Catalyzing the New Mobility in Cities is an exploratory effort focused on identifying innovative business and service models that are beneficial to the urban poor, both as users and providers of urban transportation.The primer briefly summarizes and showcases some of the hallmark innovations that are challenging the status quo in rapidly growing cities in the developing world.
How to Design an On-Demand Transit ServiceGurjap Birring
There have been hundreds of on-demand transit projects deployed around the world, but are transit agencies designing them for success? Pantonium’s team will discuss various approaches to designing an on-demand transit service based on our experiences deploying projects around North America and our observations from other similar projects.
Istanbul IETT Professional Development Workshop, #3 of 6_Transit Demand Manag...VTPI
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Presenter: Todd Litman, Victoria Transport Policy Institute
Assistant: Aysha Cohen, UCLA Institute of Transportation Studies Scholar
Presentation Date: June 15, 2015
Transit Demand Management_Istanbul IETT Workshop 3_15 June 2015VTPI
Istanbul IETT Professional Development Workshop, #3 of 6
- Presenter: Todd Litman, Victoria Transport Policy Institute
- Assistant: Aysha Cohen, UCLA Institute of Transportation Studies Scholar
- Presentation Date: June 16, 2015
A presentation by Mr Bill Cameron (Director: Public Transport: DOT) at the Transport Forum Month of Transport Celebrations 1 October 2015 hosted by University of Johannesburg. The theme for the event was: "Trends in Policy Development for Transport" and the topic for the presentation was: "Policy Conundrums in Urban Transport."
More like this on www.transportworldafrica.co.za
Under-appreciated and neglected urban transport policy opportunities (and ref...Paul Barter
Presentation to 6 May 2009 event in Singapore organised by the Land Transport Authority (LTA), the Asian Development Bank (ADB) and the Centre for Liveable Cities (CLC).
International Benchmarking of business models enacted by main MaaS providersJacopo Farina
We have identified this path: definition of MaaS pillars, selection and description of 4 cities in Europe where MaaS has been already implemented, identification of must have and nice to have features of a valuale business model, comparison with Milan and hilighting of future features to implement for a better value proposition.
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Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Urban transportation is undergoing massive change and expansion, especially in the developing world. The rapid growth of cities is driving demand for better urban transportation and many cities are set to invest heavily in infrastructure. Unfortunately, the needs of low-income households are often overlooked in the selection, design, and service decisions related to these investments. According to the World Bank, urban public transportation systems disproportionately disadvantage the urban poor and vulnerable, especially in cities in the developing world.
Meanwhile, innovative business and service models are emerging that are disrupting the established transportation systems in cities by taking advantage of open data, the Internet and mobile telephony. Services such as bike share, ZipCar®, Waze®, Hopstop®, and Uber® are reducing consumption and reconfiguring the relationship between modes, users, and providers of transportation. These new approaches improve urban transportation by making it more efficient, dependable, and sustainable.
As Susan Zielinski of the University of Michigan’s SMART Initiative puts it, “Transportation is at a crossroads. In response to rapid urbanization, shifting demographics, and other pressing social, economic, and environmental factors, cities and regions are shifting investment dollars from single mode infrastructure to multi-mode, multi-service, IT-enabled door-to-door systems… innovations and opportunities (are going) beyond the bounds of the traditional transportation industry.”
Collectively referred to as the emerging New Mobility sector, this innovative industry sector provides a key opportunity to build more inclusive cities and more resilient communities.
Catalyzing the New Mobility in Cities is an exploratory effort focused on identifying innovative business and service models that are beneficial to the urban poor, both as users and providers of urban transportation.The primer briefly summarizes and showcases some of the hallmark innovations that are challenging the status quo in rapidly growing cities in the developing world.
How to Design an On-Demand Transit ServiceGurjap Birring
There have been hundreds of on-demand transit projects deployed around the world, but are transit agencies designing them for success? Pantonium’s team will discuss various approaches to designing an on-demand transit service based on our experiences deploying projects around North America and our observations from other similar projects.
Istanbul IETT Professional Development Workshop, #3 of 6_Transit Demand Manag...VTPI
Istanbul IETT Professional Development Workshop, #3 of 6, Transit Demand Management
Presenter: Todd Litman, Victoria Transport Policy Institute
Assistant: Aysha Cohen, UCLA Institute of Transportation Studies Scholar
Presentation Date: June 15, 2015
Transit Demand Management_Istanbul IETT Workshop 3_15 June 2015VTPI
Istanbul IETT Professional Development Workshop, #3 of 6
- Presenter: Todd Litman, Victoria Transport Policy Institute
- Assistant: Aysha Cohen, UCLA Institute of Transportation Studies Scholar
- Presentation Date: June 16, 2015
A presentation by Mr Bill Cameron (Director: Public Transport: DOT) at the Transport Forum Month of Transport Celebrations 1 October 2015 hosted by University of Johannesburg. The theme for the event was: "Trends in Policy Development for Transport" and the topic for the presentation was: "Policy Conundrums in Urban Transport."
More like this on www.transportworldafrica.co.za
Under-appreciated and neglected urban transport policy opportunities (and ref...Paul Barter
Presentation to 6 May 2009 event in Singapore organised by the Land Transport Authority (LTA), the Asian Development Bank (ADB) and the Centre for Liveable Cities (CLC).
International Benchmarking of business models enacted by main MaaS providersJacopo Farina
We have identified this path: definition of MaaS pillars, selection and description of 4 cities in Europe where MaaS has been already implemented, identification of must have and nice to have features of a valuale business model, comparison with Milan and hilighting of future features to implement for a better value proposition.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
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Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
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Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
筑波大・東大 合同研究会201708
1. Univ. of Tsukuba & Univ. of Tokyo
Joint Seminar 2017
2017/8/3
東京大学大学院
University of Tokyo
藤垣 洋平
Yohei Fujigaki
Mobility as a Service
- Three ways of thinking leading to MaaS-
2. 2
Education
• Mar. 2012 Bachelor of Engineering, The University of Tokyo
• Mar. 2014 Master of Engineering, The University of Tokyo
• Oct. 2015- Ph.D candidate at The University of Tokyo
Yohei FUJIGAKI
藤垣洋平
Ph.D candidate at The University of Tokyo,
Department of Urban Engineering
JSPS Research fellow (DC2)
Work Experience
• Apr. 2014 - May. 2016 KOZO KEIKAKU ENGINEERING Inc.
Engineer and Consultant
Self-Introduction
4. 4
Mobility as a Service (MaaS)
Rail Bus
Taxi
Sharing
Shared-Taxi
Monthly
Fixed Price
Month
Searching,
Booking,
Payment
in one App.
5. 5
Examples of MaaS Package
*Sampo Hietanen: ‘Mobility as a Service’ – the new transport model?, Eurotransport ,
volume12, issue2, 2014
Example of Package, according to Sampo Hietanenm*
■ Urban Commuter Package for 95€/month
• Free public transport in home city area
• Up to 100 km free taxi
• Up to 500 km rental car
• Domestic public transport 1500 km
■ 15 minutes package for 135 €/ month:
• 15 minutes from call to pick up by shared taxi
• EU wide roaming for shared taxi at 0,5 €/km
• Free public transport in home city,
• Domestic public transport 1500 km
6. 6
MaaS Package Provided in Helsinki, Finland
MaaS Global Oy ” Whim app”
https://whimapp.com/fi-en/
7. 7
Three Ways to Explain
Why MaaS?
Three ways of thinking
leading to MaaS
From three different “village” of engineering
MaaS
8. 8
R1: Local Public Transportation Route
Why MaaS?
MaaS
Local Public
Transportation
-地域公共交通-
9. 9
Restaurant
MENU
Restaurant served by
First-Class Chef of Italian & Japanese Foods
Italian Japanese
Special Courses by
First-Class Chef
Course A: ¥10,000
Course B: ¥5,000
Course C: ¥3,000
Plain Rice ball
何も入ってないおにぎり
¥100
Loosing potential customers who wanted to have
a wide variety of high quality Japanese cuisines
I wanted to have high quality
Japanese cuisine even with 10,000
10. 10
Local Public Transportation
Mobility
A residential area with 1000 residents
*Half of them are over 65-
If you own and drive a car If you don’t want to drive a car
Vehicle, Tax, Fuel…
¥10,000 ~ ¥50,000
/month
Bus every 2 hours
¥100/trip
(¥6000/month)
Loosing potential customers
who wanted to have high quality mobility service
even if it cost as same as vehicle ownership cost
I wanted to have high quality mobility
services even with ¥20,000/month
11. 11
Only for “The weak”?
I’m not “Weak”
ワシ、弱者じゃないし。
それなら運転するわい。
Targeting only this segments,
results low LOS with subsidy
Positive Drivers
who loves driving
Passive Driver
Who don’t‘ want to drive if possible
Non-
Driver
Positive Drivers
who loves driving
Passive Driver
Who don’t‘ want to drive if possible
Non-
Driver
Loosing customers like this
このような客を逃している
How about targeting here again, using state-of-art technologies
12. 12
Current
Cover all trips
(¥30,000/month)
Poor Services
I HAVE TO drive for
daily activity….
But I can drive
@ Suburban Residential Area
Schedule
11時 市民病院 ◯
14時 絵手紙の会 →バスが無い
18時 夕食会 →バスが無い
Schedule
11am. Hospital→ Bus Available
2 pm. Club →No bus
6 pm. Dinner with friends
→No bus
13. 13
MaaS –Senior Deluxe Plan-
Rail Bus Shared-Taxi
UNLIMITED
8 trips/ month
Senior Deluxe Plan
¥ 23,000/ month
If such a plan is available…
Taxi
14. With MaaS –Senior Deluxe Plan-
MaaS Deluxe Plan
Freedom of Mobility
with almost same cost as auto
*Taxi, and Shared-taxi can cover trips
that cannot covered by bus services
I no longer have to
drive
for daily activity!!
Schedule
11am. Hospital →Bus
2 pm. Club →Taxi
6 pm. Dinner with friends
→Shared-Taxi
15. 15
R2: ICT-driven Mobility Services
The most common route
to explain MaaS
MaaS
ICT-driven
Mobility
Services
ICT活用型の
新モビリティサービス
16. 16
New Mobility Services- DRT
Demand Responsive Transport
(Shared-Ride Taxi, On-Demand Bus)
Door to Door : Convenient
Shared-Ride : Efficient
Services has started in urban area
• Kutsuplus(Helsinki)
• UberPool (Cities in US)
• SAVS (Hakodate)
画像出典:
(右) Helsinki Regional Transportation Authority: Kutsuplus – Final Report, HSL Publications, 2016
(左)藤垣洋平が撮影
17. 17
New Mobility Services- Sharing
Flexible and Efficient Mobility Services
are Emerging
Car Sharing
Bike Sharing
▲画像出典:Times Car PLUS http://plus.timescar.jp/tcph/
18. 18
Each service has its strength and weakness
By combining independent service,
weakness of one service can be covered
Bus
DRT
Taxi
Sharing
◯High Speed,
Good for Concentrated Demand
●Low Flexibility
◯High Flexibility
●Bad for Concentrated demand
Rail
◯Low cost
●So bad for Concentrated demand
◯Good for Concentrated
Demand
●Low Flexibility
Strength and Weakness
21. 21
Shared Autonomous Vehicle
If “fully autonomous vehicle” is available,
(=Lv.4 of NHTSA, Lv.5 of SAE)
Shared Vehicle → Shared Autonomous Vehicle (SAV)
Taxi → Autonomous Taxi
Fully Autonomous vehicles
Easy to Share
Expensive
: able to drive by themselves
to next customer
SAV
22. 22
MaaS with SAV
Even if SAV become so popular, Rail/Bus services has
advantage on speed or capacity. →MaaS
Rail Bus
Taxi
Sharing
Shared-Taxi
Monthly
Fixed Price
Month
Searching,
Booking,
Payment
in one App.
SAV
Autonomous
Mini Bus
23. 23
Paradigm Shift brought by SAV
The majority of people
Own
And
Drive
The majority of people
Use
The best mobility service
for each trip
That’s “MaaS”
I’m not “weak”
ワシ、弱者じゃないし。
And non-drivers are “weak”.
25. 25
The Aim of Analysis Framework
To find:
• The price that maximize profit or social welfare
• What kinds of service to included
• What types of contract should be used
• Impact on residential location choice
Interactions between
“users’ choices” and “operators’ choices” needs to be modeled
Factors to be considered in modeling framework for MaaS
Different Modes including DRT and Taxis
Consideration of Operation Policy of Mobility Operator
Mobility Bundle and “Package” Choice of Users
26. Multi-Cycle Model
Daily
Activity and Travel
Choice
Daily movement
of vehicles and
people
Cumulative experience,
Expectations
[Mobility Operator]
Service Package
Design
[Service Producer]
Single Service
Adjustment
Users’ DecisionsSuppliers’ Decisions
Cycle 1
Cycle 4
Cycle 3
Package
Revenue
Adjust
Cost, Revenue
Short Term Cycle
Residential Choice,
Private Mobility Choice
Cycle 2-b
Land and
housing
market
LOS
Choice
Service
Package
Market Info.
Market
Contract
Service Package
Choice
Precondition
Info.
Cycle 2-a
Purchase
Purchase
27. Cycle Trigger:
Daily activity and
travel choice
Feedback:
LOS resulting from
movement of users
and vehicles
Multi-Cycle Model - Cycle 1
Daily
Activity and Travel
Choice
Daily movement
of vehicles and
people
Cumulative experience,
Expectations
Users’ Decisions
Cycle 1
Short Term Cycle
Residential Choice,
Private Mobility Choice
Cycle 2-b
Land and
housing
market
LOS
Choice
Service
Package
Market Info.
Market
Service Package
Choice
Precondition
Info.
Cycle 2-a
Purchase
Purchase
28. Cycle Trigger:
Cycle 2-a:
Service package
choice
Cycle 2-b:
Residential Choice,
Private Mobility Choice
Feedback
Cumulative Experience,
Expectations of LOS
Multi-Cycle Model - Cycle 2
Daily
Activity and Travel
Choice
Daily movement
of vehicles and
people
Cumulative experience,
Expectations
Users’ Decisions
Cycle 1
Short Term Cycle
Residential Choice,
Private Mobility Choice
Cycle 2-b
Land and
housing
market
LOS
Choice
Service
Package
Market Info.
Market
Service Package
Choice
Precondition
Info.
Cycle 2-a
Purchase
Purchase
29. Trigger: Service Operation Adjustment
Feedback: Change of Cost & Revenue
Multi-Cycle Model - Cycle 3
Daily
Activity and Travel
Choice
Daily movement
of vehicles and
people
Cumulative experience,
Expectations
[Mobility Operator]
Service Package
Design
[Service Producer]
Single Service
Adjustment
Users’ DecisionsSuppliers’ Decisions
Cycle 1
Cycle 4
Cycle 3
Package
Revenue
Adjust
Cost, Revenue
Short Term Cycle
Residential Choice,
Private Mobility Choice
Cycle 2-b
Land and
housing
market
LOS
Choice
Service
Package
Market Info.
Market
Contract
Service Package
Choice
Precondition
Info.
Cycle 2-a
Purchase
Purchase
30. Trigger: Service Package Design
Feedback: Change of Revenue
Multi-Cycle Model - Cycle 4
Daily
Activity and Travel
Choice
Daily movement
of vehicles and
people
Cumulative experience,
Expectations
[Mobility Operator]
Service Package
Design
[Service Producer]
Single Service
Adjustment
Users’ DecisionsSuppliers’ Decisions
Cycle 1
Cycle 4
Cycle 3
Package
Revenue
Adjust
Cost, Revenue
Short Term Cycle
Residential Choice,
Private Mobility Choice
Cycle 2-b
Land and
housing
market
LOS
Choice
Service
Package
Market Info.
Market
Contract
Service Package
Choice
Precondition
Info.
Cycle 2-a
Purchase
Purchase
31. Multi-Cycle Model
Daily
Activity and Travel
Choice
Daily movement
of vehicles and
people
Cumulative experience,
Expectations
[Mobility Operator]
Service Package
Design
[Service Producer]
Single Service
Adjustment
Users’ DecisionsSuppliers’ Decisions
Cycle 1
Cycle 4
Cycle 3
Package
Revenue
Adjust
Cost, Revenue
Short Term Cycle
Residential Choice,
Private Mobility Choice
Cycle 2-b
Land and
housing
market
LOS
Choice
Service
Package
Market Info.
Market
Contract
Service Package
Choice
Precondition
Info.
Cycle 2-a
Purchase
PurchaseIf only Cycle1&3 are considered…
Change of auto ownership and
MaaS membership cannot be considered
32. Multi-Cycle Model
Daily
Activity and Travel
Choice
Daily movement
of vehicles and
people
Cumulative experience,
Expectations
[Mobility Operator]
Service Package
Design
[Service Producer]
Single Service
Adjustment
Users’ DecisionsSuppliers’ Decisions
Cycle 1
Cycle 4
Cycle 3
Package
Revenue
Adjust
Cost, Revenue
Short Term Cycle
Residential Choice,
Private Mobility Choice
Cycle 2-b
Land and
housing
market
LOS
Choice
Service
Package
Market Info.
Market
Contract
Service Package
Choice
Precondition
Info.
Cycle 2-a
Purchase
Purchase
If only Cycle2&4 are considered…
Change of LOS by congestions etc..
cannot be considered
33. 33
Evaluation of Demand of MaaS
Evaluation of efficiency of supplier side in MaaS
Multi-Cycle Model using reliable data regarding:
Demand-side data (mode choice, willingness to use the package)
Simulation of shared-ride taxi
Residential choice
Evaluation of
Pricing Policy
Contract Scheme
Package design
etc..
Future Works (Current works)
34. 34
Published Papers and Proceedings
Regarding “high convenience shared-taxi”
• 大都市圏郊外の住宅団地を対象とした高利便性の定額制乗合タクシーの成立可能性に関する分析
(都市計画学会)
• 高利便性乗合タクシーサービスの均衡分析と収益最大化手法 (交通工学研究会)
Slideshare
Calculation example of “Multi-Cycle Model” is available in slideshare.
(The contents presented at IP conference 2016 at Nagasaki)
Latest presentations will be available
See also:
藤垣洋平 jstage
Thank you for your attention!
35. 35
1. Helsinki Regional Transportation Authority: Kutsuplus – Final Report, HSL Publications, 2016
2. Uber Technologies Inc.: Uber Pool, URL: https://www.uber.com/ride/uberpool/(2016年7月14日閲覧)
3. 公益財団法人交通エコロジー・モビリティ財団:わが国のカーシェアリング車両台数と会員数の推移,
http://www.ecomo.or.jp/environment/carshare/carshare_graph2013.2.html(2016年7月14日閲覧)
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