原文传递
Integrated Economic, Land Use and Network Growth Model for Transportation Management and Policy Analysis in the Washington DC Area. Final Report.
| 题名： | Integrated Economic, Land Use and Network Growth Model for Transportation Management and Policy Analysis in the Washington DC Area. Final Report. |
| 关键词： | integrated；management；policy；economic；analysis；network；transport；growth；report；final |
| 摘要： | Urban systems are complex, open, integrated, and nonlinear systems, where economic, land use, transportation factors interact and produce a myriad of interesting and important system properties such as economic growth, equity, land development, congestion, and pollution. The interdependencies among these sub-systems that are critical for successful management and policy decision-making have motivated significant research efforts in developing integrated models of urban economic, land use and transportation systems. Monumental modeling contributions have been made by researchers from various disciplines including economics, regional sciences, urban planning, operations research, and transportation engineering. Most planning organizations in large urban areas now employ both land use and transportation models to guide land development and transportation investment decisions, and many have integrated land use-transportation model with feedback mechanisms for enhanced model consistency. |
| 报告类型： | 科技报告 |
相关文献
- No More Freeways: Urban Land Use-Transportation Dynamics without Freeway Capacity Expansion.
- Integrated Computer Modeling Environment for Regional Land Use, Air Quality, and Transportation Planning.
- Texas Urban Triangle: Creating a Spatial Decision Support System for Mobility Policy and Investments that Shape the Sustainable Growth of Texas.
- ALTERNATIVE FUTURES FOR INTEGRATED TRANSPORTATION AND LAND USE MODELS CONTRASTED WITH TREND-DELPHI MODELS: PORTLAND, OREGON, METRO RESULTS.
- INTEGRATED TRANSPORTATION AND LAND USE POLICY ANALYSIS FOR SACRAMENTO, CALIFORNIA.
- Effect of Smart Growth Policies on Travel Demand.
检索历史
应用推荐
