The frequency use and the modal shift to ICT-based mobility services

IF 12.4 Q1 ENVIRONMENTAL SCIENCES Resources Environment and Sustainability Pub Date : 2022-09-01 DOI:10.1016/j.resenv.2022.100076
Hamid Mostofi
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引用次数: 5

Abstract

The information and communication technology (ICT) plays an important role in improving energy consumption efficiency and reducing the emission level in the urban transport sector. ICT-based mobility services like ridesourcing provide smart tools and algorithms for matching travel demand and supply and more convenient door to door services. However, there is a concern that the convenience and competitive service fares of these new mobility modes encourage people to make more car travel or shift from more sustainable mobility modes like public transport to car travels. Therefore, it is necessary to study the frequency use and modal shift to this new mobility mode, particularly in the cities (like Cairo), where the ICT-based mobility services contain more ridesourcing of fossil fuel cars than other modes like online bikes/scooter sharing. A survey was conducted in Cairo, and logit models were developed to analyze the associations of socioeconomic, travel behavior variables with the frequency use and modal shift to ridesourcing. The results of ordinal logistic regression indicate that people who live near a metro station, with higher income, and with more non-work trips per week are more likely to be high-frequent users of ridesourcing. Moreover, women are more likely to use ridesourcing frequently than men in Cairo. The findings indicate that the most replaced mode by ridesourcing is traditional taxis (by 33 %), and the second and third shifted modes are private cars and public transport by 30% and 24 %, respectively. The results of multinomial logistic regression show that the socioeconomic parameters have significant associations with the probability of modal shift from public transport, taxis, and private cars to ridesourcing services.

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频率使用和向基于信息通信技术的移动服务的模式转变
信息通信技术(ICT)在提高城市交通部门的能源消耗效率和降低排放水平方面发挥着重要作用。基于信息通信技术的出行服务,如拼车,为匹配出行需求和供应提供了智能工具和算法,并提供了更便捷的门到门服务。然而,人们担心这些新的出行方式的便利和有竞争力的服务价格会鼓励人们更多地使用汽车出行,或者从公共交通等更可持续的出行方式转向汽车出行。因此,有必要研究这种新出行模式的使用频率和模式转换,特别是在城市(如开罗),在这些城市,基于ict的出行服务比其他模式(如在线自行车/滑板车共享)包含更多的化石燃料汽车的乘车资源。在开罗进行了一项调查,并开发了logit模型来分析社会经济,旅行行为变量与使用频率和模式转换到拼车的关系。有序logistic回归结果表明,居住在地铁站附近、收入较高、每周非工作出行次数较多的人群更有可能成为网约车的高频用户。此外,在开罗,女性比男性更有可能频繁地使用拼车服务。调查结果显示,被网约车取代最多的是传统出租车(33%),其次是私家车和公共交通(分别占30%和24%)。多元logistic回归分析结果表明,社会经济参数与公共交通、出租车和私家车向拼车服务转变的概率显著相关。
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来源期刊
Resources Environment and Sustainability
Resources Environment and Sustainability Environmental Science-Environmental Science (miscellaneous)
CiteScore
15.10
自引率
0.00%
发文量
41
审稿时长
33 days
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