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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