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Multi-objective Optimization for Bus Network Design Problem Using Pareto Optimal : 파레토최적해를 이용한 버스네트워크 설계 다목적 최적화
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 고승영 | - |
dc.contributor.author | 박수진 | - |
dc.date.accessioned | 2020-10-13T02:35:29Z | - |
dc.date.available | 2020-10-13T02:35:29Z | - |
dc.date.issued | 2020 | - |
dc.identifier.other | 000000163243 | - |
dc.identifier.uri | https://hdl.handle.net/10371/169099 | - |
dc.identifier.uri | http://dcollection.snu.ac.kr/common/orgView/000000163243 | ko_KR |
dc.description | 학위논문 (박사) -- 서울대학교 대학원 : 공과대학 건설환경공학부, 2020. 8. 고승영. | - |
dc.description.abstract | Public transportation is a service that provides access to
various opportunities and can reduce the mobility gap through efficient network design. However, services are concentrated in a specific area considering economic efficiency, resulting in spatial imbalances in services and inefficiency to users. In this study, bus network design algorithms were presented, including operators, users, and public aspects. An efficiency of operators and users and the competitiveness of public transportation between modes and areas were considered. Toy network was organized according to the urban network topology and demand pattern, and the analysis was performed by applying the algorithm of this study. The applicability of the algorithm was confirmed through the actual network. An improved network could be derived from both operators and the public compared to previous research focused on operational efficiency. Suggested a method to select and apply Pareto optimal according to the planner's judgment. The bus network design algorithm in this study can be used as a means of decision criteria and it can be applied to cities that require a balanced network supply with limited resources. | - |
dc.description.tableofcontents | Chapter 1. Introduction ···········································1
1.1 Background ·····································································1 1.2 Research Scope ·····························································4 Chapter 2. Literature Review ·······························7 2.1 Transit Network Design ···········································7 2.2 Unmet Demand ······························································12 2.3 Equity ················································································17 2.4 Algorithm ·········································································26 2.4.1 Multi-objective Optimization ········································26 2.4.2 Local Search ·····································································31 2.5 Summary and Research Direction ·································34 Chapter 3. Methodology ··········································37 3.1 NSGA-II ···········································································37 3.2 Algorithm ·········································································40 3.2.1 Procedure and Network Encoding ······························40 3.2.2 Cross-over and Mutation ··············································43 3.2.3 Local search ······································································44 Chapter 4. Model Formulation ·····························47 4.1 Summary ··········································································47 4.2 Assumption and Variables ·······································48 4.3 Model Formulation ·······················································52 4.3.1 Objective Function ··························································52 4.3.2 Logit Model ······································································54 4.3.3 Traffic Assignment ·························································56 4.3.4 Transit Assignment ······················································58 Chapter 5. Numerical Example ····························61 5.1 Toy Network ································································61 5.1.1 Network Explanation ····················································61 5.1.2 Result Analysis ································································65 5.1.3 Marginal Effect ································································75 5.1.4 Comparison with Previous Research ·························80 5.2 Large Network ······························································83 5.2.1 Network Explanation ······················································83 5.2.2 Result Analysis ································································86 5.2.3 Marginal Effect ································································91 5.2.4 Comparison with Previous Study ·······························92 5.3 Discussion ·······································································94 Chapter 6. Result and Future Research ·········· 97 Reference ·······································································100 Appendix ·······································································110 | - |
dc.language.iso | eng | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | TNDFSP | - |
dc.subject | Equity | - |
dc.subject | Unmet Demand | - |
dc.subject | Multi-Objective | - |
dc.subject | Pareto Optimal | - |
dc.subject.ddc | 624 | - |
dc.title | Multi-objective Optimization for Bus Network Design Problem Using Pareto Optimal | - |
dc.title.alternative | 파레토최적해를 이용한 버스네트워크 설계 다목적 최적화 | - |
dc.type | Thesis | - |
dc.type | Dissertation | - |
dc.contributor.department | 공과대학 건설환경공학부 | - |
dc.description.degree | Doctor | - |
dc.date.awarded | 2020-08 | - |
dc.identifier.uci | I804:11032-000000163243 | - |
dc.identifier.holdings | 000000000043▲000000000048▲000000163243▲ | - |
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