TO ESTIMATE POSTGRADUATE STUDENTS TRIP RATE

REPORT BY:

AYISHA IRSHAD

SEAT NO: UE-08

DEPARTMENT OF URBAN AND INFRASTRUCTURE ENGINEERING

SUBMITTED TO:

SIR .ASHAR LODI

CONTNETS

1. Methodology 11.1Introduction 11.2Data collection 11.3Required information from students 1

2. Human Resource Deployment 12.1Gate 1 1

2.1.1 Students arriving by Para transit 22.1.2 Students arriving by personal transit 2

2.2Gate 2 32.3Gate 3 3

3. Survey form 43.1ask team form 43.2observation team form 5

4. Trip Rate Analysis 64.1Trip rate vs Departments 7-8

4.1.1 Trip rate of main gate vs Department 94.1.2 Trip rate of visitor gate vs Departments 104.1.3 Trip rate of maskan gate vs Departments 11

4.2Peak time activity of trips 124.3Modal trip rate 134.4Origin producing highest trip rate 144.5Trips comparison between residential and office 15-16

5. Conclusion 17

1. METHODOLOGY OF SURVEY:1.1 INTRODUCTION:

Postgraduate students of Urban Department, Infrastructure management, NEDUET involves in a survey to evaluate trip rate that students of university (NEDUET) generate in evening. Survey will cover different departments depend upon the availability of students and scheduled classes on the day of survey.

1.2 DATA COLLECTION:

An easy approach to evaluate trip rate, surveyors (students) from urban department will perform survey at the gates of NEDUET by filling survey forms, while querying survey related information from students entering to university.

1.3 REQUIRED INFORMATION FROM STUDENTS:

Origin Destination Department Time of Arrival

2. HUMAN RESOURCE DEPLOYMENT:

Survey will be performing in the form of teams consisting of 3-4 members. There are 21 surveyors that will be divided into groups at gates as observer team and ask team in the university as mentioned below;

2.1 GATE 1 (MASKAN CHOWRANGI)

Cluster of 7 students will be divided into three groups, whiletwo surveyors will be observing at gate, students that are coming by walk and not the time simultaneously observing time of arrival, group of other two surveyors would request the students arriving by car, bike to stop by the help of signboard “Survey in progress please cooperate” and would enquire specific information, while the other three students will be spread out near hostel gate and the departments near gate 1 and hostel as many of the faculty member would create external trip to attend postgraduate classes

1

FIGURE 1.1 COVERING GATE 1

2.1.1 STUDENTS ARRIVING BY PARA-TRANSIT:

Public bus Rickshaw Bicycle Qingqi TAXI

2.1.2 STUDENTS ARRIVING BY PERSONAL-TRANSIT:

Car Motorbike

2.1.3 LIMITATION:

*If a student drop by a driver and doesn’t park a car in university, driver will be excluded as a trip generator.

2

2.2 GATE 2 (VISITOR GATE):

Cluster of 6 surveyors will be spread out near gate 2.As per the rules of university cars and bikes are not allowed to pass through gate, only the students using Para- transit are allowed and will be enquire by surveyors. Three students will be enough to align at gate 2 will the other students will be spread out nearby departments for external trip generators.

2.3 GATE 3 (MAIN GATE):

Similarly cluster of other 8 surveyors will be distribute at gate 3,while group of three students would be align for students by para-transit while two would be align in parking of university for cars and bikes and the remaining will be spread nearby departments or in other parking slots.

3

S

3. SURVEY FORM:

1. Keep the questionnaire as short as possible

2. Ask short, simple, and clearly worded questions.

4. Use dichotomous (yes | no) and multiple choice questions

3.1ASK TEAM FORM:

4

3.2 OBSERVER TEAM FORM

5

4. TRIP RATE ANALYSIS:

Trip rate has been calculate in order to know how many trips generated y postgraduate students whereas it is determine as

Trip Rate= area sq ft/trips attraction

Area of university has been calculated as 48.7 hectare that is 5145149 sq ft

Considering Land use 1000 sqft /trip

By the calculations trip rate of NEDUET for postgraduate students revealed as

By above data it is very obvious that no of trips at main gate was greater than visitor gate and maskan gate because most of the students prefer student gate for entrance

MAIN GATE VISITOR GATE MASKAN GATE0

100200300400500600700800900

TRIPS

TRIPS

6

Total trips= 1379

Trip Rate= 5145.149/1379 = 3.73 trip rate

GATES TRIPSMAIN GATE 791

VISITOR GATE 421MASKAN GATE 167

4.1 TRIP RATE VS DEAPRATMENTS:

It can be seen from below attached graph that trip rate industrial manufacturing department is greater that other departments that has been calculated as 4.08,here is also a list of trip rate of other departments.

7

The least trip rate was found of urban department where it is only 0.0197.

DEPARTMENT

MAIN GATE VISITOR MASKAN

CIVIL 29 31 4IM 28 19 19ELECTRO 8 6 1ELECTRI 18 0 19PHY 1 1 1BCIT 8 2 1CIS 12 6 6TELECOM 11 2 8CHEMIC 3 3 3MECH 5 8 6MATHS 0 2 0ENV 0 0 0CHEMISTRY 0 0 3URBAN 0 0 1 PETROLEUM 0 0 1TEXTILE 7 0 2

DEPARTMENTS HECTARE SQFT SQFT/1000CIVIL 1.18 127014 127.014IM 0.15 16145.85 16.14585ELECTRONICS 0.28 30138.92 30.13892ELECTRI 0.15 16145.85 16.14585PHY 0.12 12916.68 12.91668BCIT 0.099 10656.26 10.65626CIS 0.2 21527.8 21.5278TELECOM 0.26 27986.14 27.98614CHEMIC 0.26 27986.14 27.98614MECH 0.15 16145.85 16.14585MATHS 0.099 10656.26 10.65626ENV 0.1 10763.9 10.7639CHEMISTRY 0.12 12916.68 12.91668URBAN 0.47 50590.33 50.59033PETROLEUM 0.091 9795.149 9.795149TEXTILE 7 0.13 13993.07 13.99307

DEPARTMENTSTRIP RATE

CIVIL 0.503881IM 4.087738

ELECTRONICS 0.497695ELECTRICAL 2.291611

PHY 0.232258BCIT 1.032257CIS 1.114838

TELECOM 0.750371CHEMIC 0.321588MECH 0.433548

MATHS 0.187683ENV 0.092903

CHEMISTRY 0.232258URBAN 0.019767

PETROLEUM 0.102091TEXTILE 0.643176

CIVIL IM

ELECTR

ONICS

ELECTR

I PHY

BCIT CIS

TELEC

OM

CHEMIC

MECH

MATHS

ENV

CHEMIST

RY

URBAN

PETROLEU

M

TEXTIL

E 0

0.51

1.52

2.53

3.54

4.5

DEPARTMENTS TRIP RATE

Department

trip

rat

e

8

4.1.1 TRIP RATE OF MAIN GATE VS DEPARTEMNTS:

Whereas from main gate trip rate to IM department is higher than other departments also with gradually change of higher trip rate in electrical, bcit departments can also observe.

CIVIL IM

ELECTR

ONICS

ELECTR

ICAL

PHYSICS

BCIT CIS

TELEC

OM

CHEMICAL

MECHANICAL

MATHS

ENVOIRMEN

TAL

CHEMIST

RY

URBAN

PETROLEU

M

TEXTIL

E 0

0.40.81.21.6

2

TRIP RATE OF MAIN GATE VS DEPARTMENTS

TRIP RATE of Main gate

DEPARTMENT

TRIP RATE of Main gate

CIVIL 0.22832125

1

IM 1.73419175

8

ELECTRONICS 0.26543751

4

ELECTRICAL1.11483755

9

PHYSICS0.07741927

5

BCIT 0.75073236

3

CIS 0.55741877

9

TELECOM 0.39305170

3

CHEMICAL0.10719591

9MECHANICAL 0.3096771MATHS 0ENVOIRMENTAL 0CHEMISTRY 0URBAN 0PETROLEUM 0

TEXTILE 0.50024762

3

9

4.1.2 TRIP RATE OF VISITOR GATE VS DEPARTMENTS:

By survey it can be seen and results conclude that IM department was producing higher trip rates from visitor gate too but comparatively from main gate entrance it can be see

that textile and electrical trip was found to be nill.

DEPARTM

ENT

CIVIL IM

ELECTR

ONICS

ELECTR

ICAL

PHYSICS

BCIT CIS

TELEC

OM

CHEMICAL

MECHANICAL

MATHS

ENVOIRMEN

TAL

CHEMIST

RY

URBAN

PETROLEU

M

TEXTIL

E 0

0.20.40.60.8

11.21.4

TRIP RATE AT VISITOR GATE VS DEPARTMENTS

DEPARTMENTTRIP RATE

CIVIL 0.24406

8

IM 1.17677

3

ELECTRONICS 0.19907

8ELECTRICAL 0

PHYSICS0.07741

9

BCIT 0.18768

3

CIS 0.27870

9

TELECOM 0.07146

4

CHEMICAL0.10719

6

MECHANICAL0.49548

3

MATHS 0.18768

3ENVOIRMENTAL 0CHEMISTRY 0URBAN 0PETROLEUM 0TEXTILE 0

10

4.1.3 TRIP RATE OF MASKAN GATE VS DEPARTEMNTS:

Comparatively from other two gates trip rate maskan gate has highest trip is in electronic department reason might be due to shortest distance can be concluded.

CIVIL IM

ELECTR

ONICS

ELECTR

ICAL

PHYSICS

BCIT CIS

TELEC

OM

CHEMICAL

MECHANICAL

MATHS

ENVOIRMEN

TAL

CHEMIST

RY

URBAN

PETROLEU

M

TEXTIL

E 0

0.20.40.60.8

11.21.4

TRIP RATE OF MASKAN GATE VS DEPARTMENTS

TRIP RATE

DEPARTMENTTRIP RATE

CIVIL 0.031493IM 1.176773ELECTRONICS 0.03318ELECTRICAL 1.176773PHYSICS 0.077419BCIT 0.093842CIS 0.278709TELECOM 0.285856CHEMICAL 0.107196MECHANICAL 0.371613MATHS 0

ENVOIRMENTAL 0CHEMISTRY 0.232258URBAN 0.019767PETROLEUM 0.102091TEXTILE 0.142928

11

4.2 PEAK TIME OF TRIPS AT DIFFERENT TIME INTERVAL:

While survey it was observed that peak time of postgraduate was between approx 6:00 pm to 7:00 pm due to class commencement from 6:00 sharp, below graph is showing trip rate of all gates of NEDUET at different time interval.

time trip rate5:10pm -6:10pm 0.936:10pm-7:10pm 1.377:10pm-7:40pm 0.36

5:10 -6:10 6:10-7:10 7:10-7:400

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

trip rate

TIME

TRIP

RAT

E

12

4.3 PEAK TIME OF TRIP AT DIFFERENT TIME INTERVAL:

Peak time of trips generated in Neduet from three of the gates can be observe clearly by the means of graph.whereas the highest trip rate at time interval of 6:10 pm to 7:10pm was found at main gate,then at maskan gate that is 0.4 and most least at visitor gate.

Time Main gate Trip rate5:10pm -6:10pm 308 0.5986396:10pm-7:10pm 397 0.7716237:10pm-7:40pm 86 0.167153

Time Maskan5:10pm -6:10pm 106 0.2060216:10pm-7:10pm 224 0.435366

7:10pm-7:40pm 87 0.169093Time Visitor

5:10pm -6:10pm 67 0.1302216:10pm-7:10pm 84 0.1632627:10pm-7:40pm 16 0.031098

5:10 -6:10 6:10-7:10 7:10-7:400

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Peak time of trips at diifferent time interval

Maskan gatevisitor gate trip ratemain gate trip rate

Axis Title

13

4.4 MODAL TRIP RATE:

It has been evaluated that car trip rate was higher at main gate whereas at visitor gate trips by bus was maximum and at maskan gate riders had higher mobility.

Bus0.00

3 Bus0.0058

31 Bus 0rickshaw

0.0019

rickshaw 0

rickshaw

0.002721

drop0.00

4 drop 0 drop 0bike 0.00 bike 0.0009 bike 0.0063

Main gate Visitor gate Maskan gate

58 72 6

car0.02

4 car0.0021

38 car0.0006

8

walk 0 walk0.0011

66 walk0.0007

77

Bus rickshaw drop bike car walk

0

0.005

0.01

0.015

0.02

0.025

0.03

main gatevisitor gatemaskan gate

14

4.5 ORIGIN PRODUCING HIGHEST TRIP RATE:

If we consider main gate trip rate from gulshan-e- iqbal,gulistan-e- johar and Korangi to university were found higher

gulsh

an

nazimab

ad

shah fa

isal

koran

giBald

iakem

ari

shahra-

e-fais

al

bahdara

bad

hydera

bad0

0.001

0.002

0.003

0.004

0.005

0.006

0.007

main gate

origin o f trip

trip

rate

Similarly from visitor gate arrival from gulistan-e johar was found highest, whereas trip rate of gulistan -e johar is more than other origins as well if we compare from main gate trips there is a significant change in no of trips and trip rate, it could be due to choice of distance or depends on the departments that would be nearest to gate.

gulsh

an johar

nazimab

adLan

dhi

shah fa

isal

defence

koran

gimalir

Baldia

Port qasi

mkem

ari

industrial

area

shahra-

e-fais

alsad

ar

bahdara

bad

f. b ar

ea

hydera

bad

site ar

ea0

0.0005

0.001

0.0015

0.002

0.0025

0.003

0.0035

visitor gate

origin of trip

trip

rate

15

It can e concluded that students from main gate and maskan gate having origin mostly from gulshan –e- iqbal zone,also students coming from Hyderabad or site area zones using maskan gate due to shorter distance from higway or these zones,whereas students from gulistan-e- johar or shahra-e-faisal,defence generate their trip from visitor gate.

gulsh

an johar

nazimab

adLan

dhi

shah fa

isal

defence

koran

gimalir

Baldia

Port qasi

mkem

ari

industrial

area

shahra-

e-fais

alsad

ar

bahdara

bad

f. b ar

ea

hydera

bad

site ar

ea0

0.00050.001

0.00150.002

0.00250.003

0.00350.004

0.00450.005

maskan gate

origin of trip

trip

rate

16

4.6 TRIPS COMPARISION BETWEEN RESIDENTAIL TRIPS AND OFFICE TRIPS:

It can be evaluated students coming from office use main gate in higher rate comparatively other entrances of university, also trip makers of offices use maskan gate comparatively more than visitor gate

main gate visitor gate maskan gate0

10

20

30

40

50

60

70

80

90

100

OFFICE TRIPSRESIDENTAIL TRIPS

5. CONCLUSION:

Graphs are a much more visual way of representing trip rate data, and are used to identify percentages of trips per hour as a proportion of the whole survey, as well as show periods of peak trip activity. 

This is a good way of comparing trip generation at different sites in a selected set, and for spotting any "weighting" factors amongst the selected surveys.

17