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The parking policy and smart growth disconnect : obstacles to establishing and implementing smart growth parking policy

机译:停车政策和智能增长脱节:建立和实施智能增长停车政策的障碍

摘要

Urban areas are plagued by congestion, economic inequality, and inefficient land use that result from highway and single family housing subsidies, segregated land uses, and many other government policies established over the last 80 years. Parking is one part of the complex and problematic system of traditional urban development that can benefit from a Smart Growth approach to urban livability. Parking is increasingly understood to be an underlying factor in traffic generation that leads to increasing vehicle miles traveled, congestion, and several other nuisances that arise from a growing number of vehicles on the road. Furthermore, parking increases the cost of living in urban areas where parking demand is high and supply is tight. Traditional growth patterns that encourage low density development with minimum free parking requirements exacerbate problems caused by parking. Smart Growth development counters traditional growth by offering mixed use development, maximum parking requirements, context sensitive design and focusing on increasing pedestrian and transit trips. After establishing the advantages of Smart Growth over traditional development for Boston, this thesis asks: why are the cities of Boston, Cambridge and Quincy not implementing Smart Growth when it could be better for everyone? Four case studies from the Boston Metropolitan Area (North Station, Ruggles, Quincy Center, and Alewife) will help identify the pros, cons, and constraints for shifting paradigms from traditional to Smart Growth policies.
机译:由于高速公路和单身家庭的住房补贴,土地使用不均以及过去80年来制定的许多其他政府政策,城市地区受到拥挤,经济不平等和土地利用效率低下的困扰。停车是传统城市发展中复杂且有问题的系统的一部分,可以从智能增长方法中受益于城市宜居性。越来越多的人认为停车是交通发展的根本原因,导致行车里程增加,交通拥堵,以及道路上越来越多的车辆引起的其他麻烦。此外,停车增加了在停车需求高且供应紧张的城市地区的生活成本。传统的增长方式鼓励低密度发展,并提供最少的免费停车要求,加剧了停车引起的问题。 Smart Growth开发通过提供混合用途开发,最大停车需求,上下文相关的设计并专注于增加行人和公交出行来应对传统增长。在确定了智能增长相对于波士顿传统发展的优势之后,本文提出了一个问题:为什么波士顿,剑桥和昆西等城市可能在每个人都可能做得更好的情况下不实施智能增长?来自波士顿都会区的四个案例研究(北站,Ruggles,Quincy中心和Alewife)将有助于确定将范式从传统政策转变为明智增长政策的利弊。

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