The document discusses various transport modelling concepts and methods including:
1) The four step transport modelling process of trip generation, trip distribution, modal split, and trip assignment.
2) Trip generation models including linear regression models to predict trip production and attraction based on socio-economic variables.
3) Trip distribution models such as gravity models which distribute trips between zones based on production, attraction, and impedance.
4) Modal split models which predict the share of trips by different modes using logit models calibrated based on stated preference surveys.
Urban transportation system meaning ,travel demand functions with factors, design approaches & modeling , types of mass transit system with advantages -disadvantages or limitations , opportunities in mass transport , integrated approach for transit -transportation system
In today’s world with the ever increasing traffic it is inherent that we immediately find an optimum solution for it so that we can move on from being a developing nation to a super power.
There is a great need to resolve our transportation issues at the earliest as connectivity is of grave importance. Finding a systematic and organized way around the current situation is only going to benefit us in the long run. Better connectivity reduces transportation costs immensely and saves time in traveling.
this is a brief introduction to various traffic engineering basic characteristics which are useful in designing any corridor or passage with safety & reliability.
Urban transportation system meaning ,travel demand functions with factors, design approaches & modeling , types of mass transit system with advantages -disadvantages or limitations , opportunities in mass transport , integrated approach for transit -transportation system
In today’s world with the ever increasing traffic it is inherent that we immediately find an optimum solution for it so that we can move on from being a developing nation to a super power.
There is a great need to resolve our transportation issues at the earliest as connectivity is of grave importance. Finding a systematic and organized way around the current situation is only going to benefit us in the long run. Better connectivity reduces transportation costs immensely and saves time in traveling.
this is a brief introduction to various traffic engineering basic characteristics which are useful in designing any corridor or passage with safety & reliability.
Transportation planning is an integral part of overall urban planning and needs systematic approach.
Travel demand estimation is an important part of comprehensive transportation planning process.
However, planning does not end by predicting travel demand.
The ultimate aim of urban transport planning is to generate alternatives for improving transportation system to meet future demand and selecting the best alternative after proper evaluation.
Origin and Destination ( O-D) Study. defined all types very well with advantages and disadvantages. Introduction of OD, Objective of OD Study
Information required for OD
OD Survey Types
Methodology
Road Side Interview Method
License Plate Method
Tag on Car method
Home Interview method
postal method
online survey method
commercial and public vehilce method survey
OD MATRIX
Desire line diagram and Flow Line diagram
Conclusion and Reference.
Capacity & Level of Service: Highways & Signalized Intersections (Indo-HCM)Vijai Krishnan V
This presentation gives a glimpse on estimating the capacity and Level of Service (LOS) of highway midblock sections and signalized intersections under heterogeneous traffic conditions using the Indo-HCM 2017 Manual. It also compares the Indo-HCM LOS estimation methods with US-HCM. Some practice questions are also included.
I acknowledge the co-author Ms. Sethulakshmi G (Ph. D. Scholar, NIT Surathkal) for her valuable contribution to this presentation.
Traffic congestion have a big impact on our personal life, career, future and even our safety. it causes stress, annoy and frustrate us. the traffic jams burns fuel at a higher rate .
The high fuel consumption hiked fares for public means and it also contributes greatly to the amount of emissions of greenhouse gases that create air pollution and eventually global warming.
we trying here partially to solve this problem in critical segments such as bridge, viaduct or tunnel etc. by using Excel simulation for Flow – Density relationship.
Transportation planning is an integral part of overall urban planning and needs systematic approach.
Travel demand estimation is an important part of comprehensive transportation planning process.
However, planning does not end by predicting travel demand.
The ultimate aim of urban transport planning is to generate alternatives for improving transportation system to meet future demand and selecting the best alternative after proper evaluation.
Origin and Destination ( O-D) Study. defined all types very well with advantages and disadvantages. Introduction of OD, Objective of OD Study
Information required for OD
OD Survey Types
Methodology
Road Side Interview Method
License Plate Method
Tag on Car method
Home Interview method
postal method
online survey method
commercial and public vehilce method survey
OD MATRIX
Desire line diagram and Flow Line diagram
Conclusion and Reference.
Capacity & Level of Service: Highways & Signalized Intersections (Indo-HCM)Vijai Krishnan V
This presentation gives a glimpse on estimating the capacity and Level of Service (LOS) of highway midblock sections and signalized intersections under heterogeneous traffic conditions using the Indo-HCM 2017 Manual. It also compares the Indo-HCM LOS estimation methods with US-HCM. Some practice questions are also included.
I acknowledge the co-author Ms. Sethulakshmi G (Ph. D. Scholar, NIT Surathkal) for her valuable contribution to this presentation.
Traffic congestion have a big impact on our personal life, career, future and even our safety. it causes stress, annoy and frustrate us. the traffic jams burns fuel at a higher rate .
The high fuel consumption hiked fares for public means and it also contributes greatly to the amount of emissions of greenhouse gases that create air pollution and eventually global warming.
we trying here partially to solve this problem in critical segments such as bridge, viaduct or tunnel etc. by using Excel simulation for Flow – Density relationship.
TRIP GENERATION Survey and ORIGIN / DESTINATION STUDYGrant Johnson, PE
Origin Destination Surveys OD调查…and Trip Generation Surveys…交通出行率调查
Sample Size (100 vehicles or more) of randomly selected vehicles that turned left to go south at Interchange/Intersection 8.
In this Survey:
55% of samples went south past机场高速
45% turned right onto黄山大道
Total Left Turn Vol = 1630 vph
Result: 900 vehicles (55%) go south
730 vehicles go west on黄山大道
This report presents the findings of an evaluation commissioned by the Evaluation Office of the Rockefeller Foundation and the Rockefeller Foundation Initiative on Equitable and Sustainable Transportation (TRA). The evaluation, conducted by TCC Group from October 2011 to April 2012, focused principally on efforts to build state capacity and attain state and regional policy changes. An evaluation of Foundation efforts focused on federal transportation reform was completed in early 2012.
This report touches on the relationship between some of the state strategy work and its relationship to federal reform.
The transportation initiative team articulated four key evaluation questions:
• What is working in the state strategy?
• What are promising practices that have evolved from the state grants?
• What should next steps be for the state evaluation?
• What has been missed by our grantmaking strategy?
In 2008, the Rockefeller Foundation launched the Initiative to Promote Equitable and Sustainable Transportation. With the last great mission of the U.S. transportation – the building of the Interstate Highway system – in the rearview mirror, the initiative was premised on the notion that the country needed a twenty-first century vision to meet twenty-first century needs. This meant a system that would provide more accessible and affordable options, reducing the cost of transportation for millions; ensure better and more dependable access for all, thus increasing access to opportunity; and prioritize energy efficiency and pollution education, thus providing for a healthier planet and healthier communities.
In particular, the Foundation aimed to achieve three major outcomes with its support:
i) inform transportation policy through actionable research, analytical support and practical examples; ii) strengthen capacity and leadership in a strategically diverse and enduring constituency for change and reform towards a new transportation paradigm; and iii) expand partnerships of new and diverse philanthropic and donor partners to collaborate in support of federal efforts and in sustaining regional ones.
Determining trip generation of commercial land use of kaptaiKazi Mahfuzur Rahman
Abstract
Trip generation is the first step in the conventional transportation forecasting process. Trip generation rates can
influence the magnitude of the roadway improvements that are constructed like the amount of land that is
required to be dedicated for road’s right-of-way, and calculation of long term maintenance costs of the roadway
network. Therefore, an accurate estimate of vehicle trip generation is required to construct the necessary roadway
infrastructure without overbuilding it. Mohora to Kaptai road is an important and a busy road in Chittagong
because some important commercial buildings, power plants, industries and institutions are situated along this
road. The goal of this paper is to determine trip generation of adjacent commercial land uses of Kaptai Road. To
fulfill the goal, our objectives are to identify the number of trips generation by the adjacent commercial land uses
and to relate trip generation with respect to land use and socio-economic characteristics of Kaptai road. This
study utilizes Geographic Information System (GIS), Questionnaire Survey, Personal Interview and Multiple
Linear Regression Analysis for the trip generation analysis and calculation. Trip generation surveys have
completed at a total of 10 commercial sites, covering five different shopping centers and five different banks at
different important intersection point. The findings have clarified the existing land uses, trip generation situation
with multiple linear regression model and trip rates of commercial land uses.
Lessons 19-22 for Grad Course on CSS (from UTCM Report #08-14-03 "Making Mobility Improvements a Community Asset: Transportation Improvements Using Context-Sensitive Solutions")
This presentation highlights the importance of Roadspace Allocation within transport planning and illustrates how to develop a successful Roadspace Allocation Framework. Further to this the presentation gives an insight to understanding and meeting user requirements. It then progresses to utilise various case studies in Birmingham to further demonstrate how these frameworks can be put into practice.
Sheet1EgyptGDP by Expenditure2005 US $assumptionsYearYCGIXMconsump.docxmaoanderton
Sheet1EgyptGDP by Expenditure2005 US $assumptionsYearYCGIXMconsumption functionC=-20.4862982766+0.7460897862Y200078737.729587024359249.64476852068727.885739464114772.050070512318701.439762282822713.2907537555200181512.515401750161320.14166497139154.938252751614178.318154531519316.843630253422457.7263007577trend GDPRy=b=0.0449366764200284109.10396237862913.11581920269608.681548019114890.796453816617812.52306429221116.0129229523200386728.495429143964038.45466320599914.042190424114245.241694184719917.172763625621386.4158822964Import DemandM=Y200490302.410904929765505.324210443810219.402832902215062.944389646424588.468437457925073.7289655206200594456.32180659368828.574449917810505.54611219116613.541606264229555.835798517631047.1761602976Last 5 Years I/Y2006100973.80801124173280.255156930910832.567002848618828.680487085135839.555510440837807.25014606442007108092.58754227678448.702815302610853.00580853323303.261026347444184.732677089148697.1147849961Average X/Y 2000-20142008115850.57130333682468.862631922311084.468017679126904.537682077556892.991343073361500.28837141622009121295.54815456186997.952484219511701.700575548524458.670620090148636.545512291150499.32103758822010127481.62111044390561.662750439712228.920051973626409.362141840347185.293750957248903.61758476782011129951.22178650396646.473530784312691.844470412225854.165324178847773.639059688753014.9005985612012132810.148665824103875.04631698313090.473830644927909.894081772946675.394483525858740.66004710312013135600.392703195105792.35175105713543.886890700825226.460439558849428.986791371558391.29316949322014138533.933462906113520.54398606614333.703188862626394.252007270943224.867059992358939.4327792858projected2015144759.232830929108023.9023228282016151264.278476652112877.2518286452017158061.641358557117948.6963012062018165164.457336287123248.036274032019172586.452555608128785.5126872132020180341.969974099134571.826677975
Sheet1Y=XC=YXYx-xbary-ybar(x-xbar)(y-ybar)(x-xbar)^2787385925078737.729587024359249.6447685206-1547698.68024508-1154197.462231451786349889037.832395371204832.35C=-20.4862982766+0.7460897862815136132081512.515401750161320.1416649713-1544923.89443035-1152126.9653351779948478163.572386789839581.84841096291384109.10396237862913.1158192026-1542327.30586972-1150533.991180771774499990929.372378773518431.35867286403886728.495429143964038.4546632059-1539707.91440296-1149408.652336761769753598886.152370700461675.1903026550590302.410904929765505.3242104438-1536133.99892717-1147941.782789531763392401332.062359707662659.98944566882994456.32180659368828.5744499178-1531980.08802551-1144618.532550051753532800251.662346962990106.6410097473280100973.80801124173280.2551569309-1525462.60182086-1140166.851843041739281892322.382327036149554.0610809378449108092.58754227678448.7028153026-1518343.82228982-1134998.404184671723317815302.62305367962685.6711585182469115850.57130333682468.8626319223-1510585.83852876-1130978.244368051708439719626.52281869575563.6512129686998121295.54815456186997.9524842195.
I presented these slides at a meeting of ACM data mining group. I discuss using data mining to improve performance of an existing trading system. The presentation was video taped. You can see the video at:
http://fora.tv/2009/05/13/Michael_Bowles_Neural_Nets_and_Rule-Based_Trading_Systems
if you have any questions or comments contact me: mike@mbowles.com or
http://www.linkedin.com/in/mikebowles
Fandamental Statistics and Data Science Stock_price_analysis_OESON_P1.pptxyabotenoffice
Fandamental Statistics and Data Science.
The scope of this project was to create a statistical report that compiles real- time data on stock prices for prominent US corporations such as Microsoft, Apple and Tesla in order to analyse the performance of their stock, by performing a descriptive and regression analysis.
Perkongsian mengenai penilaian dalam talian. Ketika pandemik Covid-19 sekarang amat sukat menjalankan peperiksaan seperti biasa. Slide ini merupakan pengalaman penulis melakukan penilain dalam talian
Ringkasan mengenai kerajaan Gowa di Sulawesi dan kaitannya dengan Semenanjung Malaysia. Hang Tuah, raja-raja dan dua orang perdana menteri Malaysia adalah berasal dari Makassar. Raja yang pertama ialah Tumanurung Baine. Sultan Hasanuddin dan Syeikh Yusuf adalah pahlawanan nasional Indonesia.
Peneraingan ringkas mengenai tempat lahir dan tempat tinggal Nabi Ibrahim iaitu Sanliurfa dan Harran. Raja Namrod yang angkuh juga diceritakan. Kematian dan kehancuran kerajaannya disebabkan oleh serangan nyamuk juga disebutkan, Berkemungkinan nyamuk itu membawa virus atau kuman
Cerita ringkas mengenai kerajaan Champa yang terakhir di dunia. Dikenali juga dengan nama Kembayat Negara. Ia telah wujud sebelum tahun 817 dan hancur pada tahun 1832
Penerangan ringkas lawatan ke kawasan Kerajaan Champa yang telah hilang di Nha Trang, Vietnam. Dahulu Nha Trang dikenali dengan Kauthara dan kerajaannya dikenali dengan nama Kembayat Negara.
Masjid ini adalah yang pertama dibina oleh Kerajaan Usmaniah selepas menaklukkan Constantinople. Masjid ini sangat istimewa bagi orang Turki sehingga sultan-sultan dahulu dinobatkan di masjid ini. Sekarang orang-orang muda Turki sangat ingin dinikahkan di masjid ini juga.
Harran, bandar temapat tinggal Nabi Ibrahim. Nabi Ibrahim berulang-alik dari bandar ini ke Mekkah. Bandar ini juga menjadi menjadi rebutan antara Rom dan Parsi sebelum kedatangan Islam
Slide yang digunakan dalam Webinar UKM mengenai Pembelajaran dan Pengajaran. Ia mengandungi penggunaan Cybergogy, Peeragogy, Video Learning dan Digital Badging
Kursus LMCP 1552 : Pembangunan mapan dalam Islam adalah terbuka kepada sesiapa sahaja. Ia boleh diikuti secara online: https://www.openlearning.com/courses/pembangunan-mapan-dalam-islam
Contoh projek akhir dalam kursus LMCP 1532, Pembanguan Bandar Mapan. Kursus ini adalah terbuka kepada semua pelajar tahun 1 dan sesiapa sahaja. Boleh mendaftar di https://www.openlearning.com/courses/perancanganbandarmapan
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
8. Trip Generation
f (Trip Production) =
Household income, household size,
Car ownership, number of working person in the household
Socio-economic
f (Trip Attraction) =
Land-use characteristic
10. Trip Generation:
Linear Regression Model
The best line – the line that minimise D1 + D2 + D3 + ... + D7
11. Linear Regression Model (cont ….)
•R2 = 1 - maximum correlation between Y and X
•R2 = 0 - no correlation
•t-statistic
Regression parameter
t =
Standard error of the parameter
12. Trip Generation: Model development
1. Observe any relationship between parameters
Non-linear relationship could be linearised
13. Trip Generation: Model development
2. Produce Correlation matrix – Observe
correlation between independent variables
Car ownership Household Number Number Production
income of of worker
houses
Car ownership 1
Household 0.995135 1
income
Number of -0.80885 -0.81603 1
houses
Number of -0.30011 -0.30901 0.240331 1
worker
Production -0.81724 -0.82478 0.98193 0.409236 1
14. Trip Generation: Model development
• 3. Compute each of the parameters of the
potential regression equations.
• 4. Check the following criteria:
– The model R2.
– Sign convention (- / +)
– Reasonable intercept
– Are the regression parameters statistically
significant?
16. Trip Generation: Correlation Matrix
Car ownership Household Number Number of Production
income of houses worker
Car ownership 1
Household 0.995135 1
income
Number of -0.80885 -0.81603 1
houses
Number of -0.30011 -0.30901 0.240331 1
worker
Production -0.81724 -0.82478 0.98193 0.409236 1
Correlations between Production with Car Ownership and Household Income are
negative which are illogical in real life situation. Therefore the two variable can be
omitted from the model.
17. Trip Generation: Regression Analysis
Regression Statistics
Multiple R 0.99801829
R Square 0.996040507
Adjusted R 0.995574685
Square
Standard Error 141.4405503
Observations 20
ANOVA
Df SS MS F Significance F
Regression 2 85552805.7 42776403 2138.24 3.80133E-21
Residual 17 340092.2977 20005.43
Total 19 85892898
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept -101.796472 101.229828 -1.0056 0.328709 -315.3730381 111.78009
X Variable 1 2.719828956 0.045600893 59.6442 3.45E-21 2.623619347 2.8160386
X Variable 2 1.594915849 0.136378382 11.69478 1.49E-09 1.307182213 1.8826495
t-test for the intercept is -1.0056 at 95% confident limit -> not significant > should be omitted
18. Trip Generation: Regression Analysis
Regression Statistics
Multiple R 0.997900286
R Square 0.995804981
Adjusted R 0.940016369
Square
Standard Error 141.4846514
Observations 20
ANOVA
Df SS MS F Significance F
Regression 2 85532575.68 42766288 2136.402 3.82911E-21
Residual 18 360322.3185 20017.91
Total 20 85892898
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 0 #N/A #N/A #N/A #N/A #N/A
X Variable 1 2.685964254 0.030756216 87.33078 4.13E-25 2.621347791 2.7505807
X Variable 2 1.539715572 0.124882111 12.32935 3.26E-10 1.277347791 1.8020834
The final model:
Trip Production = 2.6859 HH + 1.5397 Number of workers
19. Trip Generation: Category analysis
• Categorising land-use
Type of land-use Morning peak Daily production
production / hr
Link house 1.26 8.16
Semi-detached 1.46 16.37
Apartment 1.03 4.87
Low cost house 1.48 7.35
(Source: Kemeterian Kerjaraya Malaysia)
20. Trip Distribution Model
Destination ΣTij
1 2 3 n j
1 T11 T12 T13
2 T21 T22 T23
O 3 T31 T32 T33
R
I
G
I
N
n Tn1 Tn2 Tn3 Tnn Pn
ΣTij A1 A2 A3 An W
i
Σ jTij = Pi
Σ i Σ jTij = W = Σ i Pi = Σ j A j
Σ iTij = A j
24. Gravity Model
m1m2
F =G 2
D
Pi A j
Tij = K
f ( Rij )
Pi = Production of zone i
Aj = Attraction of zone j
25. Gravity Model:
Production Constrain
Pi A j
Tij = K Pi ∑ A j
f ( Rij )
∑ Tij = K
j
j
f ( Rij )
∑T j
ij = Pi
1
K=
A j / f ( Rij ) ∑ Aj / f ( Rij )
Tij = Pi j
∑A
j
j / f ( Rij )
26. Gravity Model:
Attraction Constrain
1
K=
∑ Pi / f ( Rij )
i
Pi / f ( Rij )
Tij = A j
∑ Pi / f ( R )
i
ij
27. Gravity Model:
Double Constrain
Pi A j
Tij = K i K j
f ( Rij )
1 To calculate Ki, give value to Kj as 1.0.
Ki =
∑ K j Aj / f ( Rij )
Use the calculated value Ki to calculate Kj.
Calculate Ki using the new calculated
j
value of Kj. Repeat the calculation until
1 value of Ki and Kj converge to a solution
Kj =
∑ K i Pi / f ( Rij )
i
28. Separation Function
f(Rij) = separation function between zone I and zone j
f ( Rij ) = TravelCost α α is a parameter to be calibrated
α
f ( Rij ) = Traveltime
f ( Rij ) = eα *TravelCost
f ( Rij ) = eα *TravelTime
29. Desire Line
• A visual presentation of OD matrix
Source: JICA, 1981
Klang Valley when NKVE, Shah Alam Highway, SKVE and MRR2 were planned
30. Modal Split Model
Decision Structure All Trips
Choice
Non-motorised Motorised trip
Choice
Public Private
Choice Choice
Bus Rail based M / Cycle Car
31. To choose: Walking or ride a vehicle
Distance (m) Share of trips by walking
100 0.95
150 0.92
200 0.88
250 0.83
300 0.77
350 0.7
400 0.61
450 0.5
500 0.39
600 0.27
700 0.17
800 0.09
900 0.06
1000 0.04
32. Plot of Share of Trips by Walking
1
0.9
0.8
Share of trips by walking
0.7
0.6
0.5
0.4
0.3
0.2 Walking or boarding the
0.1 bus?
0
0 200 400 600 800 1000
Distance (m)
33. Modelling the choice
1
P=
1 + Deα *Dis tan ce
Calibration
1− P
= D * eα *Dis tan ce
P
1− P
ln( ) = ln D + α * Dis tan ce
P
Y = C +mX (a linear regression problem)
35. Stated preference Survey
• Recall revealed preference
• Guide line
– Minimize non-response
– Personal interviews
– Pretest for interviewer effects etc.
– Referendum format
– Provide adequate background info.
– Remind of substitute commodities
– Include & explain non-response option
36. Travel Between Bangi and Putrajaya
If there is an LRT service between Bangi and Putrajaya
If LRT ticket is RM 2.90 for the journey and certain reduction in travel time, are you going to shift from bus to the proposed LRT?
Bus fare LRT fare Reduction in travel time % of bus passengers shift to LRT
1 1.60 2.90 0 12.5%
2 1.60 2.90 5 15.5%
3 1.60 2.90 10 19.0%
4 1.60 2.90 15 23.0%
5 1.60 2.90 20 27.0%
6 1.60 2.90 25 32.0%
7 1.60 2.90 30 38.0%
8 1.60 2.90 40 49.0%
If reduction in travel time is 20 minutes and the proposed LRT fare as follows:
Bus fare LRT fare Reduction in travel time % of bus passengers shift to LRT
1 1.60 2.00 20 30.1%
2 1.60 2.25 20 29.2%
3 1.60 2.50 20 28.7%
4 1.60 2.75 20 28.0%
5 1.60 3.00 20 27.1%
6 1.60 3.25 20 26.5%
7 1.60 3.50 20 25.7%
8 1.60 3.75 20 25.0%
38. Regression analysis
1
P=
1 + De (αCost + βTime )
α = 0.145515 , β = -0.04766
and D = exp(1.741845) = 5.707863
39. Travel Time Value
• Willingness to pay to safe travel time
1
P=
1 + De (αCost + βTime )
• Cost and time are two different dimensions
• β/α is considered a Transformation Factor to convert time
into monitory value.
1
P= ( 0.145515*Cost + 0.04766*Time ) Value of time
1 + De = 0.04766 / 0.145515 RM/min
= RM 19.65 / hr
40. Trip Assignment
Zone 1 Zone 2
Zone 3
Zone 5
Zone 4
Zone 1 Zone 2 Zone 3 Zone 4 Zone 5
Zone 1 200 150 300 350
Zone 2 250 50 120
Zone 3 550 600 180 220
Zone 4 290 310 420 70
Zone 5 370 410 530 610
41. Minimum path tree for zone 1
Zone 1 Zone 2
Zone 3
Zone 5
Zone 4
Minimum path
tree from zone 1
to all other zones.
42. Trip assignment from Zone 1
Volume =
Volume = 200+150+300+350= 1000
200+150+300=
350
Zon Zone 2
1 Volume =
200
Volume = 150+300
Volume = = 450
350
Zone 3
Zone 5
Volume =
300
Volume =
Zone 4 150