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Universit辰t Stuttgart
Institut f端r Straen- und Verkehrswesen
Lehrstuhl f端r 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.
  = 2.630 + 0.008 1  0.162 2 + 0.125 3 + 0.055 4  0.037 5 +
0.008 6  0.010 7  0.041 8  0.037 9
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卒 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

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MY FINAL PRESENTATION

  • 1. Universit辰t Stuttgart Institut f端r Straen- und Verkehrswesen Lehrstuhl f端r 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
  • 2. 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
  • 3. 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
  • 4. 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
  • 5. 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
  • 6. 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
  • 7. Area of Study Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich
  • 8. Research Methodology Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich
  • 9. 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%
  • 10. 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%
  • 11. Proportion of Trip Rate by Respondents Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich
  • 12. 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
  • 13. Modal Share of all Respondent Trips Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich
  • 14. 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
  • 15. 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
  • 16. Modal Share of Work Commute Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich
  • 17. 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
  • 18. 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
  • 19. 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
  • 20. 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
  • 21. 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
  • 22. Ranking of Transportation Objectives of Lagosian Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich
  • 23. Ranking of Measures to Achieve Transportation Objectives Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich
  • 24. Rating of Obstacles to Achieve Transportation Objectives Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich
  • 25. 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
  • 26. 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. = 2.630 + 0.008 1 0.162 2 + 0.125 3 + 0.055 4 0.037 5 + 0.008 6 0.010 7 0.041 8 0.037 9 Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich
  • 27. 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卒 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
  • 28. Thank you Surveying and Analysing Mobility Behaviour in Lagos, Nigeria by Tunde Mojeed, YISAU. Supervised by Prof. Markus Friedrich