发展中城市购物中心的出行生成

IF 0.7 Q4 TRANSPORTATION European Transport-Trasporti Europei Pub Date : 2022-03-01 DOI:10.48295/et.2022.86.2
Sanu Meena
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引用次数: 0

摘要

本研究针对发展迅速的城市之一孟买的购物中心开发了旅游生成模型。选取18家购物中心进行回归分析,建立出行生成模型。在工作日和周末的旅游吸引力模型中发现显著的因素包括建筑面积、多厅影院的屏幕和座位数量、亭和商店数量、停车位数量和总建筑面积。根据在两家商场采集的视频数据,发现高峰时段是晚上6点到9点。本研究结果可用于分析新建购物中心的影响,并规划购物中心内及周边的交通基础设施。
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Trip Generation for shopping malls in Developing Cities
This study develops trip generation models for shopping malls in Mumbai, one of the fast-developing cities. A total of eighteen shopping malls are selected to develop trip generation models using regression analysis. The factors that found significant in weekdays and weekend trip attraction models include built-up area, number of screen and seats in multiplex, number of kiosk and stores, number of parking spaces and gross floor area. Based on the video data collected at two shopping malls, it was found that the peak period is from 6 PM to 9 PM. The findings of this study can be used analyze the impacts of newly constructed shopping malls and plan transportation infrastructure in and around a shopping mall.
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CiteScore
2.30
自引率
0.00%
发文量
19
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