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Use of space syntax theory for bicycle network planning (Also available on CD)

By: Contributor(s): Material type: TextTextPublication details: 2017Description: xix,99p.,CD-ROMDDC classification:
  • P TH-2118 SAI
Contents:
CONTENTS Executive Summary: vii 1. Introduction .2 1.1 Bicycling in Indian cities . 2 1.2 Why Space Syntax? . 3 1.3 Research Questions . 6 1.4 Aims 6 1.5 Objectives 6 1.6 Scope and limitation 6 1.7 Data source and data collection . 6 Primary data 6 Secondary data 7 Analytical Framework 8 1.8 Methodology 9 2. Urban Cycling .12 2.1 Cyclist needs 12 2.1.1 The purpose of cycling 12 2.1.2 Cyclists’ Skill levels 12 2.1.3 General route requirements 13 2.1.4 Cyclists’ trip types: 14 2.2 Cycling in Indian Cities . 17 2.2.1 Non-motorized transport Policy in India 19 3. Literature Review 21 3.1 Background: 21 3.2 Urban Cycling Networks 21 3.2.1 Need for a bike plan 22 3.2.2 Measures of a good Cycle Network 22 3.2.3Current method of preparing a bicycle network plan 23 3.3 Disadvantages of current transport modelling practice identifying bicycle routes 25 3.4 Spatial Network Analysis . 26 3.4.2 Segment analysis 32 3.4.3 Angular Segment analysis measures . 32 4. Bike Plan and Space Syntax 34 4.1 Space Syntax Analysis: 35 4.1.2 Case study 1: London . 35 4.1.2 Case study 2: Oslo 38 4.1.3 Case study 3: Trondheim, Norway 45 4.1.4 Case study 4: Almetyevsk . 49 4.2 Conclusion: 50 5. Study Area Context 53 5.1 Defining study area 53 5.1.1 About the city 53 5.1.2 Modal Share . 53 5.1.4 Average trip length and travel time . 54 5.1.5 Traffic Characteristics 54 5.1.6 Cycling In Ahmedabad 55 5.1.7 Policies 56 5.2 Study area delineation . 57 5.2.1 Introduction to Bapunagar Ward- Study Area . 60 History 60 Context 60 Bapunagar Road Network 62 6. Data Collection: 63 6.1 Spatial Map 64 6.2 Cyclist dataset 65 6.3 Extension of the study area 67 6.4 Cyclist Counts 67 6.5 Building Model 69 7. Model Construction and output 72 7.1 Model set-up 72 7.2 Verification of axial map . 73 7.3 DepthmapX remote analysis 74 Choice-angular connectivity 76 Normalized Choice 78 Integration 79 7.4 Best-fit for the bicycle network 80 7.5 Proposal 83 8. The Conclusion .93 Aims and objectives: A review . 93 Limitations in the Study 94 Future Scope for the research . 94 9. Bibliography .96
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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-2118 SAI Not for loan 017740
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CONTENTS Executive Summary: vii 1. Introduction .2 1.1 Bicycling in Indian cities . 2 1.2 Why Space Syntax? . 3 1.3 Research Questions . 6 1.4 Aims 6 1.5 Objectives 6 1.6 Scope and limitation 6 1.7 Data source and data collection . 6 Primary data 6 Secondary data 7 Analytical Framework 8 1.8 Methodology 9 2. Urban Cycling .12 2.1 Cyclist needs 12 2.1.1 The purpose of cycling 12 2.1.2 Cyclists’ Skill levels 12 2.1.3 General route requirements 13 2.1.4 Cyclists’ trip types: 14 2.2 Cycling in Indian Cities . 17 2.2.1 Non-motorized transport Policy in India 19 3. Literature Review 21 3.1 Background: 21 3.2 Urban Cycling Networks 21 3.2.1 Need for a bike plan 22 3.2.2 Measures of a good Cycle Network 22 3.2.3Current method of preparing a bicycle network plan 23 3.3 Disadvantages of current transport modelling practice identifying bicycle routes 25 3.4 Spatial Network Analysis . 26 3.4.2 Segment analysis 32 3.4.3 Angular Segment analysis measures . 32 4. Bike Plan and Space Syntax 34 4.1 Space Syntax Analysis: 35 4.1.2 Case study 1: London . 35 4.1.2 Case study 2: Oslo 38 4.1.3 Case study 3: Trondheim, Norway 45 4.1.4 Case study 4: Almetyevsk . 49 4.2 Conclusion: 50 5. Study Area Context 53 5.1 Defining study area 53 5.1.1 About the city 53 5.1.2 Modal Share . 53 5.1.4 Average trip length and travel time . 54 5.1.5 Traffic Characteristics 54 5.1.6 Cycling In Ahmedabad 55 5.1.7 Policies 56 5.2 Study area delineation . 57 5.2.1 Introduction to Bapunagar Ward- Study Area . 60 History 60 Context 60 Bapunagar Road Network 62 6. Data Collection: 63 6.1 Spatial Map 64 6.2 Cyclist dataset 65 6.3 Extension of the study area 67 6.4 Cyclist Counts 67 6.5 Building Model 69 7. Model Construction and output 72 7.1 Model set-up 72 7.2 Verification of axial map . 73 7.3 DepthmapX remote analysis 74 Choice-angular connectivity 76 Normalized Choice 78 Integration 79 7.4 Best-fit for the bicycle network 80 7.5 Proposal 83 8. The Conclusion .93 Aims and objectives: A review . 93 Limitations in the Study 94 Future Scope for the research . 94 9. Bibliography .96

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