SlideShare une entreprise Scribd logo
1  sur  1
Télécharger pour lire hors ligne
Generalized Needs Assessment Scenarios
                                                     for Transportation Infrastructure
                                                                                     !
                                                      Ashish Samdariya, Qiang Bai, Anwaar Ahmed, Eleni Bardaka, and Samuel Labi!

  MOTIVATION!                                                                              DEMAND AND SUPPLY SCENARIOS!                                                                                                                                         CASE STUDY!
  § Transportation planners monitor trends in transportation system                                                                                                                                                                                § The Beijing Capital International Airport (BCIA) !
                                                                                                             Demand, Demand,                                                         Demand, Demand,
     supply and demand !                                                                                      Supply Supply                                                           Supply Supply                                                                       § World’s 2nd and 8th busiest airport in terms of passenger traffic
                                                                                                    Initial System System
                                                                                                                Initial
  § Purpose of monitoring is to predict reliably the direction and                                      Capacity Capacity                                                            Demand,                                                                                and total aircraft movement.!
                                                                                                                                                                                       Supply
     magnitude of future gaps !                                                                                                                                                                                                                                           § Passenger traffic increased from 100 to 130 in past 10 years. !
                                                                                                                                                                                                                ProjectedProjected
                                                                                                                                    ProjectedProjected
  § Such information needed for taking appropriate palliatives to                                                                  Demand Demand
                                                                                                                                                                                                     Capacity Demand Demand                                               § Capacity expansions were carried out to meet passenger traffic
                                                                                                                                                                            Initial System System
                                                                                                                                                                                        Initial
     mitigate any expected gaps between demand and supply. !                                                                            (Linear) (Linear)                        Capacity Capacity   !          (Linear) (Linear)                                            demand, which has been growing exponentially. Current BCIA
                                                                                                                                                                                                                                 Demand
                                                                                                                                        (i)           Time
                                                                                                                                                     (i)         Time
                                                                                                                                                                                                                     Time
                                                                                                                                                                                                                     (ii)       Time
                                                                                                                                                                                                                                                                             attributes are as follows:!
  § Need for optimal and phased supply schedule for the entire new                                                                                                                                      (ii)
                                                                                                                                                                                                                     t             !
                                                                                                                                                                                                                                 Time       !
     or remaining life of any infrastructure!                                                                                                                                                                    (e)
                                                                                                                                                                                                                   *#                                                          BCIA Terminal!            Area!                    Design Capacity!
                                                                                                  Demand,                                                                                                                                                                      Terminal 1!               60,000 m2!               9,000,000 PAX/yr!
  § Purpose is to minimize life-cycle cost (underutilized capacity
                                              Demand,
                                                                                                   Supply
                                                                                                                                                                                      Demand,
                                               Supply
     and user cost) over the life of the infrastructure.! Demand
                                                                                                                                                                                       Supply                                                                                  Terminal 2!               336,000 m2 !             26,500,000 PAX/yr!
                                                                                                                                              Demand
                                                                                                                                                                                                                                                                               Terminal 3!               986,000 m2 !             60,000,000 PAX/yr!
                                                               Capacity                                        Capacity                                                                              Capacity
                                                                                                                                                                                                                                                                          § In 2009 and 2011, passenger delays were 30-60 minutes per
                                                               !                                               !                                                                                     !
 CATEGORIZING SYSTEM NEEDS !                                                                                                                                                                                                       Demand
                                                                                                                                                                                                                                                                             passenger at BCIA!
                                                                          t       Time                                       t
                                                                                                                             *#
                                                                                                                                    t**#            Time                                                             t   t**#    Time               § when the capacity exceeds the demand, delay will be negligible
                                              Gradually Decreasing    (c)
                                                                       *#                                                         (d)                                                                            (f)
                                                    Supply!                                                                                                        !
                                                                                                                                                                                                                   *#
                                                                                                                                                                                                                                                !      but when demand exceeds capacity, passengers will face larger
                          Growing Need!
                                                                                                                                              ΔT!     ΔT!                                                                                              time delays. !
                                                                                                     Demand,
                                              Gradually Increasing
                                                   Demand!
                                                                                                      Supply                                  ΔS!     ΔS!
                                                                                                                                                                                                                                                    § The resulting optimal schedule for capacity provision over the 35
       Need!                                                                                                                                  !       !                                                                                                year analysis period is presented below:!
                                                                                                                                                                                                                                                                               80                                                                   80




                                                                                                                                                                                                                                                    Passenger Traffic (in M)
                                              Sudden Decrease in
                                                   Supply!                                         Initial System                                                                                                                                                              70           Demand (D)          "Capacity (C)"                      70




                                                                                                                                                                                                                                                                                                                                                         Capacity (in M)
                                                                                                        Capacity                                                                                                                                                               60                                                                   60
                          Sudden Need!                                         Planned!                                  Projected Demand
                                               Sudden Demand or                                                                                                                                                                                                                50                                                                   50
                                               Sudden Increase in                                                        (Linear)                         Time                                                                                                                 40                                                                   40
                                                   Demand!
                                                                              Unplanned!                                                                                                                                                                                       30                                                                   30
                                                                                                                                                                                                                                                                               20                                                                   20
                                                                                                                                                                                                                                                                               10                                                                   10
    Need Type!                                  Examples!
                                                                                           DETERMINING OPTIMAL SCHEDULE                                                                                                                                                         0                                                                   0
                                                                                                                                                                                                                                                                                    0   5         10      15        20       25   30     35    40
Growing Need!                Deterioration of transit service quality due to               OF CAPACITY PROVISION!                                                       !                                                                                                                                   Year (1975-2010)

                             neglect and lack of maintenance and aging of                                                                                               !

                             the system components !                                                                                          C(ΔS1 ) C(ΔS2 )       C(ΔSm )                                                                           CONCLUSIONS!
                                                                                           NPVAgency = C0 (S0 ) +                                     +         ++
Growing demand !             Social and economic changes gradually                                                                            (1+ r)T1 (1+ r)T2     (1+ r)Tm                                                                        §  Paper provides a generalized quantitative assessment of supply
                             translate into the need to provide a new                                                                                                                                                                                    and demand gaps!
                             transportation system !                                          !                     T1                                             T2                                           N
Gradually                    Service provided by the transportation                        NPVUser = ∫ * UC(St , Dt ,t)dt + ∫ * UC(St , Dt ,t)dt + ∫ * UC(St , Dt ,t)dt                                                                            §  Presents mathematical derivations for!
                                                                                                                    T1                                            T2                                            Tm                                         !- cases where demand and continuous and supply is discrete;
Decreasing Supply!           system gradually erodes over time!                                                                                                                                                                                             - cases where both supply and demand are continuous. !
Sudden Demand!               Requirement of providing a structural
                             element as part of an ongoing design !                        Min Z = wagency NPVAgency + wuser NPVUser                                                                                                                §  Case study shows the development of an optimal capacity
                                                                                                                                                                                                                                                         expansion schedule for Beijing Capital International Airport.!
Sudden Surge in              Where natural or manmade events                               t-- time in years; N-- analysis period; r-- effective annual interest rate; !                                                                                ! !- Compared optimal and actual supply schedules !
Demand!                      overwhelm the existing system !                               Ti-- the time (year) of the ith expansion; T*i -- the time (year) of the ith time that the demand catches
                                                                                           up with the supply; m-- the total number of expansions in the analysis period; !                                                                             ! !- Found that actual capacity-supply schedule not very !!!
Sudden Decrease in           Sudden failure of a bridge!                                   D(t)--demand function; S(t)--Supply function;!                                                                                                                responsive to the growing demand in the years 25-35!
Supply!                                                                                    C(ΔS)--agency cost function, a function of additional supply; S0 -- the initial supply; !
Growing populations, demographic shifts, and expanding economies and other                 C(S0) --Initial construction agency cost; !                                                                                                                  ! ! - Thus, significant user delay was encountered in that period.!
                                                                                           UC(St, Dt, t,) --user cost function, a function of time t and the demand and the supply at time t;
development sectors translate constantly into the need for new or expansions in            wagency and wuser are the weights of agency cost and user cost !                                                                                         §  Optimal solution is sensitive to the relative weights of agency
highways and streets, urban commuter rail, water ports, airports, pipelines, and other                                                                                                                                                                   and user costs.!
transportation infrastructure.!

Contenu connexe

Dernier

A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 

Dernier (20)

A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 

En vedette

2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by HubspotMarius Sescu
 
Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTExpeed Software
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)contently
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024Albert Qian
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsKurio // The Social Media Age(ncy)
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summarySpeakerHub
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next Tessa Mero
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best PracticesVit Horky
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project managementMindGenius
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...RachelPearson36
 

En vedette (20)

2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot2024 State of Marketing Report – by Hubspot
2024 State of Marketing Report – by Hubspot
 
Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPT
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage Engineerings
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental Health
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
 
Skeleton Culture Code
Skeleton Culture CodeSkeleton Culture Code
Skeleton Culture Code
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
 

Generalized Needs Assessment Scenarios for Transportation Infrastructure

  • 1. Generalized Needs Assessment Scenarios for Transportation Infrastructure ! Ashish Samdariya, Qiang Bai, Anwaar Ahmed, Eleni Bardaka, and Samuel Labi! MOTIVATION! DEMAND AND SUPPLY SCENARIOS! CASE STUDY! § Transportation planners monitor trends in transportation system § The Beijing Capital International Airport (BCIA) ! Demand, Demand, Demand, Demand, supply and demand ! Supply Supply Supply Supply § World’s 2nd and 8th busiest airport in terms of passenger traffic Initial System System Initial § Purpose of monitoring is to predict reliably the direction and Capacity Capacity Demand, and total aircraft movement.! Supply magnitude of future gaps ! § Passenger traffic increased from 100 to 130 in past 10 years. ! ProjectedProjected ProjectedProjected § Such information needed for taking appropriate palliatives to Demand Demand Capacity Demand Demand § Capacity expansions were carried out to meet passenger traffic Initial System System Initial mitigate any expected gaps between demand and supply. ! (Linear) (Linear) Capacity Capacity ! (Linear) (Linear) demand, which has been growing exponentially. Current BCIA Demand (i) Time (i) Time Time (ii) Time attributes are as follows:! § Need for optimal and phased supply schedule for the entire new (ii) t ! Time ! or remaining life of any infrastructure! (e) *# BCIA Terminal! Area! Design Capacity! Demand, Terminal 1! 60,000 m2! 9,000,000 PAX/yr! § Purpose is to minimize life-cycle cost (underutilized capacity Demand, Supply Demand, Supply and user cost) over the life of the infrastructure.! Demand Supply Terminal 2! 336,000 m2 ! 26,500,000 PAX/yr! Demand Terminal 3! 986,000 m2 ! 60,000,000 PAX/yr! Capacity Capacity Capacity § In 2009 and 2011, passenger delays were 30-60 minutes per ! ! ! CATEGORIZING SYSTEM NEEDS ! Demand passenger at BCIA! t Time t *# t**# Time t t**# Time § when the capacity exceeds the demand, delay will be negligible Gradually Decreasing (c) *# (d) (f) Supply! ! *# ! but when demand exceeds capacity, passengers will face larger Growing Need! ΔT! ΔT! time delays. ! Demand, Gradually Increasing Demand! Supply ΔS! ΔS! § The resulting optimal schedule for capacity provision over the 35 Need! ! ! year analysis period is presented below:! 80 80 Passenger Traffic (in M) Sudden Decrease in Supply! Initial System 70 Demand (D) "Capacity (C)" 70 Capacity (in M) Capacity 60 60 Sudden Need! Planned! Projected Demand Sudden Demand or 50 50 Sudden Increase in (Linear) Time 40 40 Demand! Unplanned! 30 30 20 20 10 10 Need Type! Examples! DETERMINING OPTIMAL SCHEDULE 0 0 0 5 10 15 20 25 30 35 40 Growing Need! Deterioration of transit service quality due to OF CAPACITY PROVISION! ! Year (1975-2010) neglect and lack of maintenance and aging of ! the system components ! C(ΔS1 ) C(ΔS2 ) C(ΔSm ) CONCLUSIONS! NPVAgency = C0 (S0 ) + + ++ Growing demand ! Social and economic changes gradually (1+ r)T1 (1+ r)T2 (1+ r)Tm §  Paper provides a generalized quantitative assessment of supply translate into the need to provide a new and demand gaps! transportation system ! ! T1 T2 N Gradually Service provided by the transportation NPVUser = ∫ * UC(St , Dt ,t)dt + ∫ * UC(St , Dt ,t)dt + ∫ * UC(St , Dt ,t)dt §  Presents mathematical derivations for! T1 T2 Tm !- cases where demand and continuous and supply is discrete; Decreasing Supply! system gradually erodes over time! - cases where both supply and demand are continuous. ! Sudden Demand! Requirement of providing a structural element as part of an ongoing design ! Min Z = wagency NPVAgency + wuser NPVUser §  Case study shows the development of an optimal capacity expansion schedule for Beijing Capital International Airport.! Sudden Surge in Where natural or manmade events t-- time in years; N-- analysis period; r-- effective annual interest rate; ! ! !- Compared optimal and actual supply schedules ! Demand! overwhelm the existing system ! Ti-- the time (year) of the ith expansion; T*i -- the time (year) of the ith time that the demand catches up with the supply; m-- the total number of expansions in the analysis period; ! ! !- Found that actual capacity-supply schedule not very !!! Sudden Decrease in Sudden failure of a bridge! D(t)--demand function; S(t)--Supply function;! responsive to the growing demand in the years 25-35! Supply! C(ΔS)--agency cost function, a function of additional supply; S0 -- the initial supply; ! Growing populations, demographic shifts, and expanding economies and other C(S0) --Initial construction agency cost; ! ! ! - Thus, significant user delay was encountered in that period.! UC(St, Dt, t,) --user cost function, a function of time t and the demand and the supply at time t; development sectors translate constantly into the need for new or expansions in wagency and wuser are the weights of agency cost and user cost ! §  Optimal solution is sensitive to the relative weights of agency highways and streets, urban commuter rail, water ports, airports, pipelines, and other and user costs.! transportation infrastructure.!