Modelling of Park and Ride Programme for Penang Bridge Express Shuttle Transit (Best)
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MODELLING OF PARK AND RIDE PROGRAMME FOR PENANG BRIDGE EXPRESS SHUTTLE TRANSIT (BEST) MUSTAQIN BIN ALPI UNIVERSITI SAINS MALAYSIA 2017 MODELLING OF PARK AND RIDE PROGRAMME FOR PENANG BRIDGE EXPRESS SHUTTLE TRANSIT (BEST) by MUSTAQIN BIN ALPI Thesis submitted in fulfillment of the requirements for the degree of Master of Science December 2017 ACKNOWLEDGEMENT Assalamualaikum w.b.t and Salam Sejahtera. In The Name Of Allah The Most Gracious and The Most Merciful. Alhamdulillah, I managed to complete my Master Degree thesis in Public Transport field entitled A MODELLING OF PARK AND RIDE PROGRAM FOR PENANG BRIDGE EXPRESS SHUTTLE TRANSIT (BEST). Here, I like to take the opportunity to express my deep and sincere gratitude to my supervisor Associate Professor Ir. Dr. Leong Lee Vien for all the knowledge and also the assistance that was provided to finish this thesis. Millions of thanks also I would like to give to my co supervisors Professor Ahmad Farhan Mohd Sadullah and Professor Meor Othman Hamzah. With all their support and encouragement, I manage to finally complete this thesis. Last but not least, to my lovely wife and my children, thank you very much for understanding and support to complete this report. Hope this thesis will help all the researchers to understand more about Park and Ride in Malaysia. Thank You. ii TABLE OF CONTENTS Page ACKNOWLEDGEMENT ii TABLE OF CONTENTS iii LIST OF TABLES vii LIST OF FIGURES ix LIST OF ABBREVIATIONS x LIST OF SYMBOLS xii ABSTRAK xiv ABSTRACT xvi CHAPTER ONE : INTRODUCTION 1.1 Background 1 1.2 Transportation in Pulau Pinang 1 1.3 Bridge Express Shuttle Services (BEST) 3 1.4 Public Transport Usage in Penang 4 1.4.1 Bus Service Capacity 4 1.4.2 Bus Service Reliability 5 1.4.3 Bus Service Comfort 6 1.4.4 Bus Information 7 1.4.5 Bus Stop Infrastructure 8 1.5 Road Safety Management in Pulau Pinang 9 1.6 Problem Statement 10 iii 1.7 Objectives 11 1.8 Scope of the Study 11 1.9 Organization of Thesis 11 CHAPTER TWO : LITERATURE REVIEW 2.1 Introduction 13 2.2 Park and Ride 13 2.2.1 Travelling Cost 16 2.2.2 Travel Time 19 2.2.3 Pick - Up Point Facilities 22 2.3 Summary 25 CHAPTER THREE : METHODOLOGY 3.1 Introduction 26 3.2 Study Methodology 26 3.3 Data Collection 27 3.3.1 Questionnaire Survey 27 3.3.2 Secondary Data 28 3.4 Research Design 28 3.4.1 Types of Investigation 28 3.4.2 Unit of Analysis 28 3.4.3 Time Horizon 29 iv 3.5 Research Instrument 29 3.5.1 Questionnaire Design Survey 29 3.5.2 Statistical Method 29 3.6 Data Analysis and Treatment 29 3.6.1 Reliability of Measures: Cronbach`s Alpha 30 3.6.2 Descriptive Statistics 30 3.6.3 One – Way ANOVA 30 3.6.4 Principal Component Analysis 31 3.6.5 Multiple Linear Regression Models (MLR) 31 3.6.6 Dummy Variable 31 3.6.7 Performance Indicators of the model 32 3.7 Summary 32 CHAPTER FOUR : RESULT AND DISCUSSION 4.1 Introduction 34 4.2 Analysis on Questionnaire Data 34 4.2.1 Demographic of Current Users 34 4.2.2 PCA (Principle Component Analysis) 39 4.2.3 Ranking Analysis 42 4.3 Current Performance and Ridership Pattern 44 4.3.1 Overall Ridership Performance 44 4.3.2 Average Monthly Ridership According to the Route A, B, and C for Departure and Return 47 v 4.3.3 Descriptive Analysis Based on Average Monthly Ridership 52 4.3.4 One – Way ANOVA Test for Routes A, B and C 53 4.3.5 One – Way ANOVA Test for Daily BEST FTZ Performance 55 4.3.6 BEST FTZ Model 56 4.3.7 Performance Indicators (PI) 72 CHAPTER FIVE : CONCLUSION AND RECOMMENDATION 5.1 Conclusions 74 5.2 Recommendations 75 REFERENCES 77 APPENDICES APPENDIX A : Questionnaire Survey Form APPENDIX B : Overall Ridership (Mac-December 2011) vi LIST OF TABLES Page Table 2.1: Influencing factors 15 Table 4.1: KMO and Bartlett's Test 40 Table 4.2: PCA result 41 Table 4.3: PCA Grouping 42 Table 4.4: Descriptive Statistics for the factor using the BEST service 43 Table 4.5: Descriptive Analysis on Average Monthly Ridership according to Route and Trip 53 Table 4.6: ANOVA Test for Route A, B and C 54 Table 4.7: Duncan Test for the average ridership each route 54 Table 4.8: Anova Test for Daily ridership 55 Table 4.9: Duncan Test result 56 Table 4.10: Model summary for departure of all routes using five variables 58 Table 4.11: ANOVA result for departure of all routes using five variables 58 Table 4.12: Prediction model for departure of all routes using five variables 59 Table 4.13: Model summary for return of all routes using five variables 60 Table 4.14: ANOVA result for return of all routes using five variables 61 Table 4.15: Prediction model for return of all routes using five variables 61 Table 4.16: Model summary for departure of all routes using four variables 63 Table 4.17: ANOVA result for departure of all routes using four variables 63 Table 4.18: Prediction model for departure of all routes using four variables 63 Table 4.19: Model summary for return of all routes using four variables 65 Table 4.20: ANOVA result for return of all routes using four variables 65 Table 4.21: Prediction model for return of all routes using four variables 66 vii Table 4.22: Model summary for departure 69 Table 4.23: ANOVA result for departure 69 Table 4.24: Prediction model for departure 69 Table 4.25: Model summary for return 70 Table 4.26: ANOVA result for return 71 Table 4.27: Prediction model for return 71 Table 4.28: PI for departure and return 73 viii LIST OF FIGURES Page Figure 1.1: BEST FTZ Route A 3 Figure 1.2: BEST FTZ Route B 4 Figure 1.3: BEST FTZ Route C 4 Figure 2.1: Concept of Park and Ride 16 Figure 2.2: Possible journey for Park and Ride users 20 Figure 3.1: Flow chart of study 27 Figure 3.2: Procedure for development of MLR 31 Figure 4.1: BEST FTZ users by gender 35 Figure 4.2: BEST FTZ users according to age group 36 Figure 4.3: BEST FTZ users based on income group 37 Figure 4.4: BEST FTZ users according to race 38 Figure 4.5: BEST FTZ users based on frequency 39 Figure 4.6: Overall ridership according to route 45 Figure 4.7: Overall ridership for Route A, B and C 45 Figure 4.8: Ridership for the months of March until December 2011 46 Figure 4.9: Ridership for departure Route A (Mac – Dec 2011) 47 Figure 4.10: Ridership for return Route A (Mac – Dec 2011) 48 Figure 4.11: Ridership for departure Route B (Mac – Dec 2011) 49 Figure 4.12: Ridership for return Route B (Mac – Dec 2011) 50 Figure 4.13: Ridership for departure Route C (Mac – Dec 2011) 51 Figure 4.14: Ridership for return Route C (Mac – Dec 2011) 52 ix LIST OF ABBREVIATIONS ANOVA Analysis of variance BEST Bridge Express Shuttle Transit CCTV Close Circuit Television FTZ Free Trade Zone HOV High Occupancy Vehicle IA Index of Agreement KMO Kaiser Meyer Olkin Measure LRT Light Railway Transit MIROS Malaysian Institute of Road Safety Research MLR Multiple Linear Regression Model MBPP Majlis Bandaraya Pulau Pinang (City Council of Penang Island) MPSP Majlis Perbandaran Seberang Perai (Municipal Council of Seberang Perai) NAE Normalised Absolute Error O-D Origin – Destination x PA Prediction Accuracy PCA Principal Component Analysis PI Performance Indicator R2 Coefficient of Determination RMSE Root Mean Square Error SPSS Statistical Package for the Social Science xi LIST OF SYMBOLS µ Ridership route A ₁ µ Ridership route B ₂ µ Ridership route C ₃ µᵢ Mean of route ridership H Alternate hypothesis ₁ Hᴏ Null hypothesis β 1, β 2, β 3, β4 Coefficients Dt1 Travel time - 5.30 am – 6.30 am Dt2 Travel time - 6.30 am – 7.30 am Dt3 Travel time - 7.30 am – 8.30 am Dt1 Travel time - 4.30 pm – 5.30 pm Dt2 Travel time - 5.30 pm – 6.30 pm Dt3 Travel time - 6.30 pm – 7.30 pm Dd1 Travel day (Monday, Tuesday, Wednesday and Thursday) Dd0 Travel day (Friday) xii βd Constant (Departure) βr Constant (Return) Dr1 Route A Dr2 Route B xiii PEMBANGUNAN MODEL PARK AND RIDE BAGI PROGRAM PENANG BRIDGE EXPRESS SHUTTLE TRANSIT (BEST) ABSTRAK Pada masa kini, kebanyakan bandar-bandar besar di Malaysia berhadapan dengan masalah kesesakan lalu lintas terutamanya pada waktu-waktu puncak. Pertambahan bilangan kenderaan di jalan raya di Malaysia menjadikan masalah ini semakin besar. Oleh kerana kapasiti jalan raya yang sedia ada tidak dapat menampung beban kapasiti kenderaan, keadaan traffik menjadi lebih teruk. Sebagai contoh, pengguna jalan raya perlu mengambil masa yang lama dalam perjalanan setiap hari dan ini adalah perkara yang menyebabkan produktiviti dan kualiti hidup terjejas. Oleh itu, penggunaan pengangkutan awam adalah sangat penting bagi mengatasi masalah ini. Walaubagaimanapun, sistem pengangkutan awam terlebih dahulu perlu dilengkapkan, dinaiktaraf dan berkesan supaya dapat menarik pengguna yang ramai. Penggunaan konsep Park and Ride masih belum meluas dipraktikkan di Malaysia. Kebanyakan penggunaan sistem Park and Ride ini adalah melibatkan sistem Rel. Kerajaan Negeri Pulau Pinang telah bekerjasama dengan Rapid Penang bagi memperkenalkan konsep bas baru untuk program Park and Ride yang digunakan khas untuk pekerja-pekerja kilang di kawasan Free Trade Zone (FTZ) di Bayan Lepas.