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  • 标题:Envisioning Parking Strategies in the Framework of Sustainable Urban Transport
  • 其他标题:Envisioning Parking Strategies in the Framework of Sustainable Urban Transport
  • 本地全文:下载
  • 作者:Giovanni Circella
  • 期刊名称:Tema. Journal of Land Use, Mobility and Environment
  • 印刷版ISSN:1970-9870
  • 出版年度:2009
  • 卷号:2
  • 期号:1
  • DOI:10.6092/1970-9870/58
  • 语种:Italian
  • 出版社:Tema. Journal of Land Use, Mobility and Environment
  • 摘要:Le politiche per la regolamentazione della sosta sono uno degli strumenti a disposizione del planner per la governance della mobilità urbana. La corretta ubicazione e dimensionamento delle aree di sosta concorre infatti a determinare un utilizzo efficiente del sistema della mobilità (o può ostacolarlo, se tali infrastrutture non sono opportunamente inserite nel sistema dei trasporti). In questo framework, la pianificazione delle aree di sosta assume nuove priorità associate all’integrazione del sistema dei trasporti, ed al governo del territorio finalizzato al contenimento dell’impatto ambientale. Nel quadro delle politiche per una mobilità sostenibile, un ruolo strategico è associato quindi alla pianificazione e gestione delle aree di parcheggio, la cui realizzazione deve rispondere ad un’oculata allocazione delle risorse disponibili, ed alla limitata disponibilità di suoli nelle aree urbanizzate. In questo contributo, lo sviluppo di politiche per la gestione della sosta è discusso in relazione alla realizzazione di alcuni recenti interventi nella città di Bari. L’attenzione è spostata dagli effetti di breve/medio termine, di interesse per la pianificazione tattica e l’ingegneria del traffico, agli effetti di lungo corso nella pianificazione strategica. La disponibilità di strumenti per la modellazione integrata dei trasporti e del territorio espande le possibilità di analisi degli impatti di tali politiche, in termini di effetti nella formazione di comportamenti di mobilità e dell’utilizzo dei veicoli privati, e dell’evoluzione futura del sistema urbano.
  • 其他摘要:Monetary instruments to regulate parking are often used in central areas of cities to discourage long term parking of vehicles. The availability of parking facilities, and its cost, in fact represents an important element in the decision to operate private vehicles in urban areas. The availability of instruments and tools to check the outcome of modification in parking regulations, in terms of modification of car use, successfully support planners in the determination of the best policies to decrease congestion, and regulate the use of transportation in cities. Integrated land use transportation models may successfully contribute to the assessment of such policy packages. This contribution discusses the use of the model MARS-Bari (Metropolitan Activity Relocation Simulator) for the analysis of future scenarios of development of land use and transportation. MARS-Bari is a fast integrated land use transportation model, which is designed for applications in strategic planning of urban and metropolitan areas. The model was developed as a decision support tool, to help planners in the definition of sets of policies on land use and transportation, and promote equilibrated growth of the urban system (smart growth). MARS-Bari shares the basic assumptions of the Metropolitan Activity Relocation Simulator (MARS) modeling system, so far successfully applied to many cities of both Europe and Asia. The structure of MARS-Bari is highly flexible on purpose, allowing multiple hypothesis tests of future scenarios and policies. MARS-Bari works at a high level of spatial aggregation, and its simulations are developed on a long-term time horizon (30-years in the current version). Two main sub-models run in MARS-Bari: they respectively simulate the development of land use, and the transportation system. Four different classes of users are distinguished in the transportation model, depending on the possible access to one or more of the five transportation modes: car, motorcycle, bus, train, and slow mode (walk and bike). Car and motorcycle ownership and availability functions contribute to the definition of travel patterns and activity participation of users, in dependence of the chosen residential location and of the location of the economic activities. The model was implemented and tested on the metropolitan area of Bari, Italy. MARS-Bari allows the evaluation of different scenarios of future development of the area, predicting the expected outcomes of policies and interventions on land use development, transportation infrastructures, modifications in the local economy, financial regulations and fares (e.g. fuel price, road pricing, congestion charge, parking fares, etc.). The estimation of indicators for environmental quality and pollutant emissions from transportation permits the direct comparison of the outcomes of different scenarios, thus supporting the definition of sets of “second-best” choices for policies in both land use and transportation planning.
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