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Smart data for performance monitoring of city-bus services - a case study of Ahmedabad (Softcopy is also available)

By: Contributor(s): Material type: TextTextPublication details: 2022Description: xv,66pDDC classification:
  • P TH-2645  ALE
Contents:
Contents Undertaking i Acknowledgments v Abstract vii Table of contents ix List of figures xi List of tables xiii Abbreviations xv 1 INTRODUCTION 1 1.1 Background 1 1.2 Research Need 1 1.3 Aim 4 1.4 Objectives 5 1.5 Methodology of Study 5 1.6 Scope and Limitation 6 1.7 Research Timeline 6 2 LITERATURE REVIEW 9 2.1 Need to measure performance 9 2.2 Performance Perspectives 9 2.3 Service Quality Dimensions and Indicators 11 2.4 Data Collection Methods for Performance Monitoring of Buses 14 2.5 How can smart data be used to monitor performance? 16 3 CASE STUDY – AHMEDABAD 19 3.1 Public Transport in Ahmedabad 19 4 METHODOLOGY FOLLOWED FOR THE STUDY 23 4.1 Route selection 23 4.2 Route Profile 23 4.3 Dataset used for the study 25 4.4 Methods to measure indicators using smart data 27 5 RESULTS AND DISCUSSION 31 5.1 Performance indicators measured by AJL 31 5.2 Performance indicators measured by AMTS 32 5.3 Performance indicators that can be evaluated and monitored using smart data. 35 5.3.1 On time performance 35 5.3.2 Arrival at last stops 39 5.3.3 Runtime difference 41 5.3.4 Runtime Consistency 41 5.3.5 Headway regularity 43 5.3.6 Bus route trajectory 48 5.3.7 Customer wait time 51 6 CONCLUSION 59 6.1.1 Conclusion of the study 60 6.1.2 Recommendations 61 6.1.3 Way Forward 62 References xvii
List(s) this item appears in: Trajectory of CEPT University
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Item type Current library Collection Call number Status Date due Barcode Item holds
Thesis CEPT Library Faculty of Planning P TH-2645 ALE Not For Loan 024047
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Contents
Undertaking i
Acknowledgments v
Abstract vii
Table of contents ix
List of figures xi
List of tables xiii
Abbreviations xv
1 INTRODUCTION 1
1.1 Background 1
1.2 Research Need 1
1.3 Aim 4
1.4 Objectives 5
1.5 Methodology of Study 5
1.6 Scope and Limitation 6
1.7 Research Timeline 6
2 LITERATURE REVIEW 9
2.1 Need to measure performance 9
2.2 Performance Perspectives 9
2.3 Service Quality Dimensions and Indicators 11
2.4 Data Collection Methods for Performance Monitoring of Buses 14
2.5 How can smart data be used to monitor performance? 16
3 CASE STUDY – AHMEDABAD 19
3.1 Public Transport in Ahmedabad 19
4 METHODOLOGY FOLLOWED FOR THE STUDY 23
4.1 Route selection 23
4.2 Route Profile 23
4.3 Dataset used for the study 25
4.4 Methods to measure indicators using smart data 27
5 RESULTS AND DISCUSSION 31
5.1 Performance indicators measured by AJL 31
5.2 Performance indicators measured by AMTS 32
5.3 Performance indicators that can be evaluated and monitored using smart data. 35
5.3.1 On time performance 35
5.3.2 Arrival at last stops 39
5.3.3 Runtime difference 41
5.3.4 Runtime Consistency 41
5.3.5 Headway regularity 43
5.3.6 Bus route trajectory 48
5.3.7 Customer wait time 51
6 CONCLUSION 59
6.1.1 Conclusion of the study 60
6.1.2 Recommendations 61
6.1.3 Way Forward 62
References xvii

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