SlideShare a Scribd company logo
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
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
3
Three ways of thinking
leading to MaaS
4
Mobility as a Service (MaaS)
Rail Bus
Taxi
Sharing
Shared-Taxi
Monthly
Fixed Price
Month
Searching,
Booking,
Payment
in one App.
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
MaaS Package Provided in Helsinki, Finland
MaaS Global Oy ” Whim app”
https://whimapp.com/fi-en/
7
Three Ways to Explain
Why MaaS?
Three ways of thinking
leading to MaaS
From three different “village” of engineering
MaaS
8
R1: Local Public Transportation Route
Why MaaS?
MaaS
Local Public
Transportation
-地域公共交通-
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
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
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
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
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
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
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
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
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
 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
19
Let’s Integrate via ICT
Timetables, Real-time Location Booking
20
R3: Fully Autonomous Vehicle
MaaS
Fully
Autonomous
Vehicle
完全自動運転
The latest & widest route
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
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
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”.
24
Analysis Framework
“Multi-Cycle Model”
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
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
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
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
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
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
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
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
 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
 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
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)
4. 国土交通省:平成24年度国土交通白書 第2章第3節「動き方の変化」,pp. 769-774,2013.
5. 中島秀之,野田五十樹,松原仁,平田圭二,田柳 恵美子,白石陽,佐野渉二,小柴等,金森亮:バスとタクシーを融合
した新しい公共交通サービスの概念とシステムの実装,土木学会論文集D3 (土木計画学), Vol.71, No.5,2015
6. 藤垣洋平,金森亮,野田五十樹,中島秀之 : SAVS運行実験時の調査データを用いた都市部でのDRTサービス利用意向の
分析,第52回土木計画学研究・講演集(CD-ROM),2015
7. 池田拓郎,藤田卓志,Moshe E. Ben-Akiva :Flexibility On Demand:複数の交通サービスへの動的な車両割り当てを特徴
とするオンデマンド交通システムの設計と評価,第49回土木計画学研究・講演集(CD-ROM),2014
8. Sampo Hietanen: ‘Mobility as a Service’ – the new transport model?, Eurotransport , volume12, issue2, 2014
9. Heikkilä, Sonja : Mobility as a Service - A Proposal for Action for the Public Administration, Case Helsinki, Master Thesis
in Aalto University,2014
10. 藤垣洋平,高見淳史,大森宣暁,原田昇: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,交通工学論文集
(特集号), 1(2) pp.A_133-A_141,2015
11. 坪内孝太,大和裕幸,稗方和夫:オンデマンドバスのログデータを用いた交通分担シミュレータの開発,土木学会論文集
D3 (土木計画学), Vol.67, No.1,2011
12. Asaf Bar-Yosef, Karel Martens, Itzhak Benenson: A model of the vicious cycle of a bus line, Transportation Research Part
B, vol.54, pp37-50, 2013.
13. Fangni Zhang, Hai Yang , Wei Liu: The Downs–Thomson Paradox with responsive transit service, Transportation
Research Part A, 70, pp244-263, 2014
14. Moshe Ben-Akiva, John L. Bowman, Dinesh Gopinath: Travel demand model system for the information era.,
Transportation 23: 241, 1996
15. Mark Granovetter: Threshhold Models of Collective Behavior, The American Journal of Sociology, Vol83, No.6, pp1420-
1443, 1978.
16. 藤垣洋平,高見淳史,大森宣暁,原田昇:柔軟な公共交通を対象とした利用者数とサービス水準の循環構造モデル,第50
回土木計画学研究・講演集(CD-ROM),2014
参考文献

More Related Content

Similar to 筑波大・東大 合同研究会201708

The public transport integration challenge: what role for the fiscal system?
The public transport integration challenge: what role for the fiscal system?The public transport integration challenge: what role for the fiscal system?
The public transport integration challenge: what role for the fiscal system?
Tristan Wiggill
 
Todd Litman, Victoria Transport Policy Institute - Use of Public Space for S...
Todd Litman, Victoria Transport  Policy Institute - Use of Public Space for S...Todd Litman, Victoria Transport  Policy Institute - Use of Public Space for S...
Todd Litman, Victoria Transport Policy Institute - Use of Public Space for S...
INVERS Mobility Solutions
 
MaaS canada toronto
MaaS canada  torontoMaaS canada  toronto
MaaS canada toronto
Sampo Hietanen
 
MaaS canada montreal
MaaS canada  montrealMaaS canada  montreal
MaaS canada montreal
Sampo Hietanen
 
Towards Sustainable Urban Transportation_ Kampala City . PPT File.pdf
Towards Sustainable Urban Transportation_ Kampala City . PPT File.pdfTowards Sustainable Urban Transportation_ Kampala City . PPT File.pdf
Towards Sustainable Urban Transportation_ Kampala City . PPT File.pdf
PearlStudioz
 
Catalyzing the New Mobility in Cities
Catalyzing the New Mobility in CitiesCatalyzing the New Mobility in Cities
Catalyzing the New Mobility in Cities
The Rockefeller Foundation
 
Tackling future urban mobility demand in singapore
Tackling future urban mobility demand in singaporeTackling future urban mobility demand in singapore
Tackling future urban mobility demand in singapore
Institute for Transport Studies (ITS)
 
Implications of moving towards public transport based cities
Implications of moving towards public transport based citiesImplications of moving towards public transport based cities
Implications of moving towards public transport based cities
Tristan Wiggill
 
Modern Roads
Modern RoadsModern Roads
Modern Roads
Siddharth Vaibhav
 
Session 7b: Part I- Decarbonising urban transport - WB
Session 7b: Part I- Decarbonising urban transport - WBSession 7b: Part I- Decarbonising urban transport - WB
Session 7b: Part I- Decarbonising urban transport - WB
OECD Environment
 
How to Design an On-Demand Transit Service
How to Design an On-Demand Transit ServiceHow to Design an On-Demand Transit Service
How to Design an On-Demand Transit Service
Gurjap Birring
 
Istanbul IETT Professional Development Workshop, #3 of 6_Transit Demand Manag...
Istanbul IETT Professional Development Workshop, #3 of 6_Transit Demand Manag...Istanbul IETT Professional Development Workshop, #3 of 6_Transit Demand Manag...
Istanbul IETT Professional Development Workshop, #3 of 6_Transit Demand Manag...
VTPI
 
Transit Demand Management_Istanbul IETT Workshop 3_15 June 2015
Transit Demand Management_Istanbul IETT Workshop 3_15 June 2015Transit Demand Management_Istanbul IETT Workshop 3_15 June 2015
Transit Demand Management_Istanbul IETT Workshop 3_15 June 2015
VTPI
 
Policy conundrums in urban transport
Policy conundrums in urban transportPolicy conundrums in urban transport
Policy conundrums in urban transport
Tristan Wiggill
 
Possibilities For Bus Lane System
Possibilities For Bus Lane SystemPossibilities For Bus Lane System
Possibilities For Bus Lane SystemNaveen Chandra
 
Shared Mobility Service for New Town Development
Shared Mobility Service for New Town DevelopmentShared Mobility Service for New Town Development
Shared Mobility Service for New Town Development
Junyoung Choi
 
Under-appreciated and neglected urban transport policy opportunities (and ref...
Under-appreciated and neglected urban transport policy opportunities (and ref...Under-appreciated and neglected urban transport policy opportunities (and ref...
Under-appreciated and neglected urban transport policy opportunities (and ref...
Paul Barter
 
International Benchmarking of business models enacted by main MaaS providers
International Benchmarking of business models enacted by main MaaS providersInternational Benchmarking of business models enacted by main MaaS providers
International Benchmarking of business models enacted by main MaaS providers
Jacopo Farina
 
Trepanier and Viviani - One-way carsharing in Montréal
Trepanier and Viviani - One-way carsharing in MontréalTrepanier and Viviani - One-way carsharing in Montréal
Trepanier and Viviani - One-way carsharing in MontréalINVERS Mobility Solutions
 

Similar to 筑波大・東大 合同研究会201708 (20)

The public transport integration challenge: what role for the fiscal system?
The public transport integration challenge: what role for the fiscal system?The public transport integration challenge: what role for the fiscal system?
The public transport integration challenge: what role for the fiscal system?
 
Todd Litman, Victoria Transport Policy Institute - Use of Public Space for S...
Todd Litman, Victoria Transport  Policy Institute - Use of Public Space for S...Todd Litman, Victoria Transport  Policy Institute - Use of Public Space for S...
Todd Litman, Victoria Transport Policy Institute - Use of Public Space for S...
 
MaaS canada toronto
MaaS canada  torontoMaaS canada  toronto
MaaS canada toronto
 
MaaS canada montreal
MaaS canada  montrealMaaS canada  montreal
MaaS canada montreal
 
Towards Sustainable Urban Transportation_ Kampala City . PPT File.pdf
Towards Sustainable Urban Transportation_ Kampala City . PPT File.pdfTowards Sustainable Urban Transportation_ Kampala City . PPT File.pdf
Towards Sustainable Urban Transportation_ Kampala City . PPT File.pdf
 
Catalyzing the New Mobility in Cities
Catalyzing the New Mobility in CitiesCatalyzing the New Mobility in Cities
Catalyzing the New Mobility in Cities
 
Tackling future urban mobility demand in singapore
Tackling future urban mobility demand in singaporeTackling future urban mobility demand in singapore
Tackling future urban mobility demand in singapore
 
Implications of moving towards public transport based cities
Implications of moving towards public transport based citiesImplications of moving towards public transport based cities
Implications of moving towards public transport based cities
 
Modern Roads
Modern RoadsModern Roads
Modern Roads
 
Session 7b: Part I- Decarbonising urban transport - WB
Session 7b: Part I- Decarbonising urban transport - WBSession 7b: Part I- Decarbonising urban transport - WB
Session 7b: Part I- Decarbonising urban transport - WB
 
How to Design an On-Demand Transit Service
How to Design an On-Demand Transit ServiceHow to Design an On-Demand Transit Service
How to Design an On-Demand Transit Service
 
Istanbul IETT Professional Development Workshop, #3 of 6_Transit Demand Manag...
Istanbul IETT Professional Development Workshop, #3 of 6_Transit Demand Manag...Istanbul IETT Professional Development Workshop, #3 of 6_Transit Demand Manag...
Istanbul IETT Professional Development Workshop, #3 of 6_Transit Demand Manag...
 
Transit Demand Management_Istanbul IETT Workshop 3_15 June 2015
Transit Demand Management_Istanbul IETT Workshop 3_15 June 2015Transit Demand Management_Istanbul IETT Workshop 3_15 June 2015
Transit Demand Management_Istanbul IETT Workshop 3_15 June 2015
 
Lorenzo Mele - CarSharing, Parking and TDM
Lorenzo Mele - CarSharing, Parking and TDMLorenzo Mele - CarSharing, Parking and TDM
Lorenzo Mele - CarSharing, Parking and TDM
 
Policy conundrums in urban transport
Policy conundrums in urban transportPolicy conundrums in urban transport
Policy conundrums in urban transport
 
Possibilities For Bus Lane System
Possibilities For Bus Lane SystemPossibilities For Bus Lane System
Possibilities For Bus Lane System
 
Shared Mobility Service for New Town Development
Shared Mobility Service for New Town DevelopmentShared Mobility Service for New Town Development
Shared Mobility Service for New Town Development
 
Under-appreciated and neglected urban transport policy opportunities (and ref...
Under-appreciated and neglected urban transport policy opportunities (and ref...Under-appreciated and neglected urban transport policy opportunities (and ref...
Under-appreciated and neglected urban transport policy opportunities (and ref...
 
International Benchmarking of business models enacted by main MaaS providers
International Benchmarking of business models enacted by main MaaS providersInternational Benchmarking of business models enacted by main MaaS providers
International Benchmarking of business models enacted by main MaaS providers
 
Trepanier and Viviani - One-way carsharing in Montréal
Trepanier and Viviani - One-way carsharing in MontréalTrepanier and Viviani - One-way carsharing in Montréal
Trepanier and Viviani - One-way carsharing in Montréal
 

Recently uploaded

Adjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTESAdjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTES
Subhajit Sahu
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
u86oixdj
 
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
g4dpvqap0
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
sameer shah
 
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptxData_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
AnirbanRoy608946
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Timothy Spann
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
ahzuo
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
roli9797
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
u86oixdj
 
Nanandann Nilekani's ppt On India's .pdf
Nanandann Nilekani's ppt On India's .pdfNanandann Nilekani's ppt On India's .pdf
Nanandann Nilekani's ppt On India's .pdf
eddie19851
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
v3tuleee
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
mbawufebxi
 
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Walaa Eldin Moustafa
 
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
apvysm8
 
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
oz8q3jxlp
 
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
74nqk8xf
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
balafet
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
rwarrenll
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
manishkhaire30
 
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Subhajit Sahu
 

Recently uploaded (20)

Adjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTESAdjusting primitives for graph : SHORT REPORT / NOTES
Adjusting primitives for graph : SHORT REPORT / NOTES
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
 
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
 
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptxData_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
 
Nanandann Nilekani's ppt On India's .pdf
Nanandann Nilekani's ppt On India's .pdfNanandann Nilekani's ppt On India's .pdf
Nanandann Nilekani's ppt On India's .pdf
 
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理一比一原版(UofS毕业证书)萨省大学毕业证如何办理
一比一原版(UofS毕业证书)萨省大学毕业证如何办理
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
 
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
 
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
 
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
 
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
 
Learn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queriesLearn SQL from basic queries to Advance queries
Learn SQL from basic queries to Advance queries
 
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
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
  • 3. 3 Three ways of thinking leading to MaaS
  • 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
  • 19. 19 Let’s Integrate via ICT Timetables, Real-time Location Booking
  • 20. 20 R3: Fully Autonomous Vehicle MaaS Fully Autonomous Vehicle 完全自動運転 The latest & widest route
  • 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) 4. 国土交通省:平成24年度国土交通白書 第2章第3節「動き方の変化」,pp. 769-774,2013. 5. 中島秀之,野田五十樹,松原仁,平田圭二,田柳 恵美子,白石陽,佐野渉二,小柴等,金森亮:バスとタクシーを融合 した新しい公共交通サービスの概念とシステムの実装,土木学会論文集D3 (土木計画学), Vol.71, No.5,2015 6. 藤垣洋平,金森亮,野田五十樹,中島秀之 : SAVS運行実験時の調査データを用いた都市部でのDRTサービス利用意向の 分析,第52回土木計画学研究・講演集(CD-ROM),2015 7. 池田拓郎,藤田卓志,Moshe E. Ben-Akiva :Flexibility On Demand:複数の交通サービスへの動的な車両割り当てを特徴 とするオンデマンド交通システムの設計と評価,第49回土木計画学研究・講演集(CD-ROM),2014 8. Sampo Hietanen: ‘Mobility as a Service’ – the new transport model?, Eurotransport , volume12, issue2, 2014 9. Heikkilä, Sonja : Mobility as a Service - A Proposal for Action for the Public Administration, Case Helsinki, Master Thesis in Aalto University,2014 10. 藤垣洋平,高見淳史,大森宣暁,原田昇: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,交通工学論文集 (特集号), 1(2) pp.A_133-A_141,2015 11. 坪内孝太,大和裕幸,稗方和夫:オンデマンドバスのログデータを用いた交通分担シミュレータの開発,土木学会論文集 D3 (土木計画学), Vol.67, No.1,2011 12. Asaf Bar-Yosef, Karel Martens, Itzhak Benenson: A model of the vicious cycle of a bus line, Transportation Research Part B, vol.54, pp37-50, 2013. 13. Fangni Zhang, Hai Yang , Wei Liu: The Downs–Thomson Paradox with responsive transit service, Transportation Research Part A, 70, pp244-263, 2014 14. Moshe Ben-Akiva, John L. Bowman, Dinesh Gopinath: Travel demand model system for the information era., Transportation 23: 241, 1996 15. Mark Granovetter: Threshhold Models of Collective Behavior, The American Journal of Sociology, Vol83, No.6, pp1420- 1443, 1978. 16. 藤垣洋平,高見淳史,大森宣暁,原田昇:柔軟な公共交通を対象とした利用者数とサービス水準の循環構造モデル,第50 回土木計画学研究・講演集(CD-ROM),2014 参考文献