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The impact of the congestion charge on the retail business in London: An econometric analysis

机译:拥堵收费对伦敦零售业务的影响:计量经济学分析

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On 17 February 2003, London introduced a pioneering congestion-charging scheme. The impact on traffic was sudden and dramatic. For example, car movements within the congestion-charging zone (21 km~2) were reduced by about 30%. However, the impact on other activities, such as retail business within the charged zone, is taking longer to become evident. Many unusual events happened in close succession in 2003 making it difficult to isolate the effect of any individual event on the retail sales. This paper describes a detailed study on the impact of the congestion charge (CC) on the John Lewis Oxford Street (JLOS) store, which is one of the biggest retail stores within the charged zone. The impact is estimated using descriptive analysis, forecasting methods and econometric models. The analysis is based on weekly sales data for the period January 2000 to January 2004 (three years before the CC and about one year afterwards) relating to JLOS and five other John Lewis stores in and around London. A seasonal autoregressive integrated moving average (SARIMA) model was fitted, showing that actual sales match predicted sales up to 19 January 2003 for the JLOS store but that actual sales fall consistently below predicted sales thereafter. Clearly, something changed for the JLOS store during the week after 19 January 2003 with no sign of recovery to the end of the time series. In order to isolate the effects of a range of factors on sales, econometric models were fitted. The drop in sales at the JLOS attributable to the CC was found to be 5.5% by the time-series model and 8.2% by the panel model.
机译:2003年2月17日,伦敦推出了开创性的拥堵收费方案。对交通的影响是突然而剧烈的。例如,在拥堵收费区(21 km〜2)内的汽车运动减少了约30%。但是,对其他活动(例如在收费区内的零售业务)的影响需要更长的时间才能变得明显。 2003年接连发生了许多不寻常的事件,很难将任何单个事件对零售的影响分开。本文详细介绍了拥堵收费(CC)对约翰·路易斯·牛津街(JLOS)商店的影响的研究,该商店是收费区内最大的零售商店之一。使用描述性分析,预测方法和计量经济模型估算影响。该分析基于2000年1月至2004年1月期间(CC之前的三年,此后大约一年)的每周销售数据,这些销售数据与JLOS和伦敦及其周围地区的其他五家John Lewis商店有关。拟合了季节性自回归综合移动平均线(SARIMA)模型,该模型显示JLOS商店的实际销售额与2003年1月19日之前的预测销售额一致,但此后实际销售额始终低于预期销售额。显然,JLOS商店在2003年1月19日之后的一周中发生了一些变化,直到时间序列结束都没有恢复的迹象。为了隔离各种因素对销售的影响,我们安装了计量经济学模型。在JLOS上,归因于CC的JLOS的销售下降被发现是按时间序列模型的5.5%和按面板模型的8.2%。

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