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Universität Stuttgart Institut für Straßen- und Verkehrswesen Lehrstuhl für Verkehrsplanung und Verkehrsleittechnik Pfaffenwaldring 7 70569 Stuttgart Tel. +49 (0)711 685-82482 www.isv.uni-stuttgart.de/vuv/ SURVEYING AND ANALYSING MOBILITY BEHAVIOUR IN LAGOS, NIGERIA Tunde Mojeed, YISAU Matric Nr.: 2894515

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Universität Stuttgart

Institut für Straßen- und Verkehrswesen

Lehrstuhl für Verkehrsplanung und Verkehrsleittechnik

Pfaffenwaldring 7 70569 Stuttgart Tel. +49 (0)711 685-82482 www.isv.uni-stuttgart.de/vuv/

SURVEYING AND ANALYSING MOBILITY

BEHAVIOUR IN LAGOS, NIGERIA

Tunde Mojeed, YISAU

Matric Nr.: 2894515

Contents

General Introduction

Brief Introduction

Statement of Problem

Aim and Specific Objectives

Scope, Area of Study and Research Methodology

Scope of the Study

Area of Study

Research Methodology

Presentation and Discussion of Results

Test of Hypothesis

Recommendations

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Brief Introduction

How can we ensure that transportation systems and services

adequately meet the needs of an increasingly diverse population of

Lagos?

Transportation planners need a firm understanding of the mobility

behaviour of people.

Mobility behaviour: Who, When, Where, Why, How, How often

Mobility behaviour is closely related to study of Travel Demand

Model

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Statement of Problem

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Statement of Problem

Traffic Congestion

Poor Information

system

Lack of Non-motorised

facilities and other modes of transport

Lack of high capacity PuT

vehicles

No regulatory

and organized transport

framework

Aim and Specific Objectives

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Analyse trip diary survey of Lagos residents with a view to achieving a better understanding of the mobility behaviour of the people in the area

Examine the socio-economic characteristics of Lagos residents in relation to mobility behaviour (mode choice and trip rate)

Identify most commonly adopted mode choice in relation to various activities

Study the impact of Information and Communication Technology on trip-making ability

Investigate the transportation needs and wants of Lagosians, as well as the sources of finance and the obstacles to achieve effective mobility system

Proffer palliative measures to enhance sustainable and effective mobility system

Scope of the Study

Conceptually, the study focuses mainly on mode choice and trip

frequency as an aspect of mobility behaviour.

The study is limited to land transport. The occurrence of other modes

was by chances and reference was only made to other modes where

it is necessary

The study is household survey in which a representative from each

household was selected.

Geographically, the study was conducted in Lagos State, and Lagos

metropolitan areas form the study area in which Ikeja administrative

division is the main focus and area for data collection.

Ikeja administrative division comprises of eight local government

areas for the study: Agege, Alimosho, Ifako-Ijaye, Ikeja, Kosofe,

Mushin, Oshodi-Isolo, Shomolu.

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Area of Study

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Research Methodology

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Modal Share of all Trips by Respondents Characteristics

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Gender Age Marital Status Educational Status

Modal

Share

Male Female 18-30 31-44 45-60 Above

60

Single Married Pry

Edu

Sec-

Post

Sec

Edu

Tert.

Edu

Walkin

g 3% 9% 13% 4% 5% 2% 12% 4% 7% 8% 2%

Motor

bike 9% 9% 21% 10% 6% 5% 22% 7.7% 15% 11% 7%

Private

Car 35% 21% - 24% 41% 51% 23% 31% 15% 22% 38%

Taxi-

Cab 7% 8% 2% 11% 4% 7% 6% 8% 15% 8% 6%

Public

Transit 46% 52% 64% 50% 44% 35% 37% 49% 48% 51% 46%

Air

plane - 1% - 1% - - - 0.3% - - 1%

Modal Share of all Trips by Respondents Characteristics

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Occupation Monthly Income Household Size Place of work

Modal

Share

Unem

ploye

d

Self-

Employ

ed

Full-

Time

Worke

r

Low

Incom

e

Middle

Incom

e

High

Incom

e

1-3 4-6 Above

6

Home Within

Neigh

bhood

Outsid

e

Neigh

bhood

Walkin

g - 8% 2% 12% 3% 8% 10% 3% 4% 4% 10% 2%

Motor

bike 2% 11% 7% 15% 8% 8% 8% 10% 6% 4% 18% 4%

Private

Car 38% 19% 45% 10% 34% 69% 21% 27% 55% 19% 27% 36%

Taxi-

Cab 17% 8% 5% 8% 7% 4% 10% 8% 2% 9% 5% 7%

Public

Transit 43% 53% 41% 55% 48% 4% 51% 51% 33% 64% 40% 50%

Air

plane - 1% - - - 7% - 1% - - - 1%

Proportion of Trip Rate by Respondents

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Mean Trip Rate and Share of Mobile Person by

Respondents Characteristics

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Mean Trip Rate Share of Mobile Person (%) ANOVA (P-Value)

Overall Mean trip per day 2.7 98

Gender Male

Female

2.8

2.5

67

33

0.008

Significant

Age 18 – 30

31 – 44

45 – 60

> 60

2.9

2.8

2.5

2.5

7

53

33

7

0.041

Significant

Marital Status Single

Married

3.1

2.6

8

92

0.005

Significant

Education Pry

Sec/Post Sec

Tertiary

2.6

2.7

2.7

7

37

56

0.789

Not Significant

Occupation Unemployed

Self-Employed

Full-Time Worker

2.5

2.7

2.6

7

55

38

0.487

Not Significant

Monthly Income Low

Medium

High

2.7

2.7

2.6

20

76

4

0.889

Not Significant

Household Size 1 - 3

4 – 6

> 6

2.9

2.7

2.5

21

63

16

0.014

Significant

Place of Work Home

Within Neighbourhood

Outside Neighbourhood

2.2

2.8

2.8

13

35

52

0.001

Significant

Modal Share of all Respondent Trips

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Proportion of Respondents using at least

Public Transit in the entire Trip

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Pictures Showing different Modes of Transport in Lagos

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

BRT

Public Transit

Rail

Okada Private Car

LAGBUS Taxi-Cab

Modal Share of Work Commute

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Trip Purpose Matrix

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Home Work Business Shopping Others Total

Home - 134 46 18 46 244

Work 97 - 9 28 27 161

Business 46 7 - 7 16 76

Shopping 36 14 8 - 6 64

Others (Education,

Visitation, Medical,

Leisure, Sport,

Bank, Private,)

63 12 9 11 - 95

Respondent Reasons for Various Mode Choice

(Public Transit)

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Yes No

Reason Frequency Percent Frequency Percent

Most Convenient 5 2 15 6

Most Available 45 19 4 2

Most Affordable 11 5 2 1

Most Available & Affordable 54 23 4 2

Most Available & Convenient 6 3 3 1

Most Convenient & Privacy - - 33 14

Most Convenient & Fast - - 15 6

Safety 7 3 3 1

Short Distance & Exercise - - 7 3

Fast 3 1 10 4

Traffic Congestion 5 2 4 2

Total 136 58 100 42

Respondent Readiness to Use Public Transit if

Improvements are Made

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Impact of ICT Use on Trip-Making Ability

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Substituted Trip Complemented Trip Eliminated Trip

Activity Frequency Percent Frequency Percent Frequency Percent

Work 30 12.5 44 18.3 10 4.2

Business 41 17.1 61 25.4 18 7.5

Education 20 8.30 23 9.6 3 1.3

Shopping 47 19.6 33 13.8 40 16.7

Leisure/Tourism 19 7.9 15 6.3 26 10.8

Medical 9 3.8 3 1.3 2 0.8

Private 22 9.2 9 3.8 41 17.1

Visitation 28 11.7 20 8.3 90 37.5

Backhome 17 7.1 24 10.0 5 2.5

Religion 7 2.9 8 3.3 4 1.7

Total 240 100.0 240 100.0 240 100.0

Trip Rate by the Use of ICT

Mean trip: Daily – 2.8, 1-2 times a week – 2.7, Once in a week – 2.5, and Not at all – 2.6.

From the ANOVA result (P=0.305), It was deduced that there is no significant variation in

trip frequency by the use of ICT . This actually influenced or depended on the exact

impact of ICT on travel behaviour.

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Ranking of Transportation Objectives of Lagosian

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Ranking of Measures to Achieve Transportation Objectives

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Rating of Obstacles to Achieve Transportation Objectives

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Respondents Opinion on Sources of Finance for

Transportation

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Hypothesis: Mode choice availability does not influence trip

frequency of Lagosians

A multiple regression analysis was conducted to predict the trip rate

(y) from the availability and influences of different modes (walking

(x1), cycling (x2), biking (x3), taxi-cab (x4), private car (x5), public

transit (x6), rail transport (x7), air transport (x8) and water transport

(x9)) on trip.

Having satisfied all the assumptions of multiple regression, analysis

shows that these variables are not statistically significantly predict

trip rate, F (9, 230) = 1.728, p-value = 0.084. R2 = 0.063, which

means the variation in trip rate can only be explained by 6% of

independent variables (mode choice) while the remaining 94% can

be explained by other factors outside this study.

Cycling is the only variable contributed to the model with p=0.003 but

with negative coefficient values. That is, availability of cycling is

inversely proportional to trip rate.

𝑦 = 2.630 + 0.008 𝑥1 − 0.162 𝑥2 + 0.125 𝑥3 + 0.055 𝑥4 − 0.037 𝑥5 +0.008 𝑥6 − 0.010 𝑥7 − 0.041 𝑥8 − 0.037 𝑥9

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Recommendations

Policy to regulate the services of LAGBUS and other Public Transit.

Policy to incorporate & implement non-motorisation transport.

Extension of BRT network to some other parts of Lagos.

Safety and comfort must be encouraged for all Public Transits.

Policy to regulate the issuance of drivers´ license.

Policy to invest more on transportation (especially road and rail).

Communication strategies for the available modes should be built.

Policy to encourage telecommuting and teleshopping.

Policy to curb corruption at every sectors of organisation

(government, private and individual).

Continuity in government projects and political stability is very crucial

to development.

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich

Thank you

Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich