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| 082 | 0 | 4 | _222 |
| 100 | 1 | _aXie, Feng. | |
| 245 | 1 | 0 |
_aEvolving transportation networks _h[electronic resource] / _cFeng Xie, David M. Levinson. |
| 264 | 1 |
_aNew York : _bSpringer, _c[2011] |
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| 264 | 4 | _c©2011 | |
| 300 | _a1 online resource (xvii, 278 pages). | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 | _aTransportation research, economics and policy | |
| 504 | _aIncludes bibliographical references. | ||
| 505 | 0 |
_tPreface _tAcknowledgments _tContents _tPart I ANTECEDENTS _tChapter 1Introduction _tChapter2Background _t2.1 Transportation geography _t2.2 Optimization and network design _t2.3 Empirical models of network growth _t2.4 Economics of network growth _t2.4.1 Transportation economics _t2.4.2 Urban economics _t2.4.3 Fiscal federalism _t2.4.4 Network effect _t2.4.5 Path dependence _t2.4.6 Coalition formation _t2.5 Network science _t2.6 Summary and discussion _tChapter 3 Framework _t3.1 Supply _t3.2 Demand _t3.3 Time _t3.4 Space _t3.5 Summary and discussion _tPart II NETWORK GROWTH IN THE PAST. _tChapter 4 Skyways in Minneapolis4.1 Introduction _t4.2 Methodology _t4.2.1 Accessibility analysis _t4.2.2 Connect-choice analysis _t4.3 Results _t4.4 Findings and concluding remarks _tChapter 5 Interurbans in Indiana _t5.1 Introduction _t5.2 Connect-choice analysis _t5.3 Hypotheses _t5.4 Results _t5.5 Findings and concluding remarks _tChapter 6 Streetcars in the Twin Cities _t6.1 Introduction _t6.2 Hypotheses _t6.3 Historic Data _t6.3.1 Network data _t6.3.2 Population data _t6.4 Methodology _t6.4.1 Residential density vs. line density _t6.4.2 Proximity to line vs. residential density _t6.5 Results. _t6.6 Findings and concluding remarks Chapter 7 First Mover Advantages _t7.1 Introduction _t7.2 Rail in London _t7.3 Aviation _t7.4 Container ports _t7.5 Roads in the Twin Cities _t7.6 Findings and concluding remarks _tPart III SPONTANEOUS ORGANIZATION _tChapter 8 Hierarchy _t8.1 Introduction _t8.2 Model _t8.2.1 Land use allocation _t8.2.2 Travel demand models _t8.2.3 Investment _t8.3 Hypothesis and experiments _t8.4 Findings and concluding remarks _tChapter 9 Topology _t9.1 Introduction _t9.2 Model _t9.3 Measurement _t9.3.1 Connectivity _t9.3.2 Density _t9.3.3 Heterogeneity _t9.3.4 Connection patterns. _t9.4 Model validation9.5 Simulation experiments _t9.5.1 Idealized network structures _t9.5.2 Simulation experiments _t9.5.3 Experimental results _t9.5.4 Sensitivity tests _t9.6 Findings and concluding remarks _tChapter 10 Sequence _t10.1 Introduction _t10.2 Model _t10.2.1 Incremental connection problem _t10.2.2 Model framework _t10.3 Simulation _t10.4 Results _t10.5 Findings and concluding remarks _tPart IV LAND USE _tChapter 11 Network Diffusion and Place Formation _t11.1 Introduction _t11.2 Model _t11.2.1 Major assumptions _t11.2.2 Place formation model _t11.2.3 Link formation model _t11.3 Simulation experiments. _t11.4 Hypotheses11.5 Results _t11.6 Sensitivity analysis _t11.7 Discussion _t11.8 Findings and concluding remarks _tChapter 12 Coevolution of Network and Land Use _t12.1 Introduction _t12.2 Model _t12.2.1 Travel demand models _t12.2.2 Investment models _t12.2.3 Accessibility and land use models _t12.3 Hypotheses and experiments _t12.4 Results _t12.4.1 Results related to Hypotheses 1 and 2 _t12.4.2 Results related to Hypotheses 3 and 4 _t12.5 Sensitivity analysis _t12.6 Findings and concluding remarks _tPart V GOVERNANCE AND PLANNING _tChapter 13 Governance Choice A Theoretical Analysis _t13.1 Introduction. |
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| 520 | _aOver the last two centuries, the development of modern transportation has significantly transformed human life. The main theme of this book is to understand the complexity of transportation development and model the process of network growth including its determining factors, which may be topological, morphological, temporal, technological, economic, managerial, social or political. Using multidimensional concepts and methods, the authors develop a holistic framework to represent network growth as an open and complex process with models that demonstrate in a scientific way how numerous indepen. | ||
| 590 |
_aeBooks on EBSCOhost _bAll EBSCO eBooks |
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| 650 | 0 |
_aTransportation _xPlanning. |
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| 650 | 0 |
_aTransportation _xPlanning _xMathematical models. |
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| 650 | 1 | 4 | _aEconomics/Management Science. |
| 650 | 2 | 4 | _aEconomic Policy. |
| 650 | 7 |
_aBUSINESS & ECONOMICS _xIndustries _xTransportation. _2bisacsh |
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| 650 | 7 |
_aTRANSPORTATION _xPublic Transportation. _2bisacsh |
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| 650 | 7 |
_aAffaires. _2eclas |
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| 650 | 7 |
_aScience économique. _2eclas |
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| 650 | 7 |
_aTransportation _xPlanning. _2fast |
|
| 650 | 7 |
_aTransportation _xPlanning _xMathematical models. _2fast |
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| 655 | 4 | _aElectronic books. | |
| 700 | 1 |
_aLevinson, David M., _d1967- |
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| 830 | 0 | _aTransportation research, economics and policy. | |
| 856 | 4 | 0 | _uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=371436 |
| 776 | 0 | 8 |
_iPrint version: _aXie, Feng. _tEvolving transportation networks. _b1st ed. _dNew York : Springer, 2011 _w(DLC) 2011925541 |
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