从交通角度探讨网购与实体店购物的影响因素:来自印度的证据

IF 0.7 Q4 TRANSPORTATION European Transport-Trasporti Europei Pub Date : 2022-12-01 DOI:10.48295/et.2022.89.2
Vishnu Abbagani
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引用次数: 0

摘要

近年来,由于科技的快速变化以及互联网的广泛使用,与实体店购物相比,网上购物的需求不断增长。网上购物改变了人们的购物和旅游行为。由于互联网使用的增加,人们的购物选择发生了巨大的变化,并进一步影响了城市社区的出行模式。在此背景下,本研究评估了城市环境下人们的购物选择行为。为达致建议的目标,我们进行了一项问卷调查,以了解消费者在指定期间(即过去一个月)的购物选择行为,以及用户在网上下单的次数。为了分析收集到的数据,采用基于主成分的logistic回归分析来估计影响消费者购物选择的重要因素。结果表明,动机因素(即节省旅行时间和更优惠的价格)对网上购物有显著的积极影响;然而,也存在送货时间以及在线支付过程中需要注意的问题。使用网络购物模式的频率和最近购买的物品对网络购物有显著的积极影响。此外,较高的收入水平和较高的职业水平对电子购物选择产生负面影响。研究结果有助于交通规划者预测当前和未来情景下人们购物出行行为的转变。
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Explore the Factors Contributing to Online Versus Store Shopping in Transportation Perspective: Evidence from India
In recent times, there has been a growing demand for e-shopping as compared to in-store shopping due to rapid changes in technology as well as extensive usage of the internet. E-shopping has changed people's shopping and travel behaviour. Due to the increase in internet usage, there is a tremendous change in people's shopping choices and it further impacts the travel patterns in urban communities. In this context, the proposed study evaluates people’s shopping choice behaviour in an urban scenario. To fulfil the proposed objective, a questionnaire survey has been conducted in order to understand consumer behaviour about their shopping choices as well as the number of online orders that have been made by the user during the specified duration of time (viz., during the last one month). To analyse the collected data, a principal component based logistic regression analysis has been adopted to estimate the significant contributing factors affecting consumer shopping choices. The results show that motivational factors (viz., saving in travel time and better prices) have a significant positive impact on online shopping; however, there are concerns such as delivery time as well as care required during online payment. The frequency of using online shopping mode and recently made purchases has had a significant positive impact on online shopping. Further, it has been concluded that higher income levels and higher occupation levels negatively impact e-shopping choice. The results are useful for transport planners to predict the transformation in people's travel behaviour with respect to shopping trips in present and future scenarios.
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CiteScore
2.30
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0.00%
发文量
19
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