2020
DOI: 10.3390/su12177212
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Research on Consumers’ Preferences for the Self-Service Mode of Express Cabinets in Stations Based on the Subway Distribution to Promote Sustainability

Abstract: With the explosive growth in the express delivery business, last-mile delivery issues have come to the forefront in China. Subway-based distribution has been demonstrated and practiced. The self-service mode of express cabinets in stations based on the subway distribution can effectively reduce the last-mile delivery costs, increase the utilization rate of public transportation resources, and reduce traffic congestion and carbon emissions. This paper designed self–service mode of express cabinets in stations a… Show more

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Cited by 10 publications
(6 citation statements)
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“…As for the results of parallel line test of ordered logit models, the chi-square values of the two models are 59.789 and 90.803, respectively, and the significance level p is greater than 0.05 for both, meaning that the parallel line test is passed and the ordered logit models could be used in the current research. For the fitting information of the ordered logit models, the Chi-square values of the likelihood ratio test were 77.759 and 97.101, respectively, and the significance level p-values are both 0.000 (<0.05), indicating that the explanatory power of the ordered logit models is far superior to that of the zero models (the models containing only intercept terms), and the models established are fit well [46,47].…”
Section: Resultsmentioning
confidence: 98%
“…As for the results of parallel line test of ordered logit models, the chi-square values of the two models are 59.789 and 90.803, respectively, and the significance level p is greater than 0.05 for both, meaning that the parallel line test is passed and the ordered logit models could be used in the current research. For the fitting information of the ordered logit models, the Chi-square values of the likelihood ratio test were 77.759 and 97.101, respectively, and the significance level p-values are both 0.000 (<0.05), indicating that the explanatory power of the ordered logit models is far superior to that of the zero models (the models containing only intercept terms), and the models established are fit well [46,47].…”
Section: Resultsmentioning
confidence: 98%
“…The second-largest share focuses on Emerging technologies and innovations covering topics such as goods reception solutions, innovative vehicle solutions and emerging business models. Some examples of literature include studies of collection and delivery points (Morganti et al, 2014), unattended delivery (Xu et al, 2008), self-service technology models (Jiang et al, 2020), smart lockers systems (Refaningati et al, 2020), electric vehicles (de Mello Bandeira et al, 2019, drones (Swanson, 2019) and crowdsourcing (Devari et al, 2017).…”
Section: Last Mile Deliverymentioning
confidence: 99%
“…El proyecto Cargo hitching (van Duin et al, 2019) comenzó con el objetivo de utilizar la capacidad excedente del transporte público para el transporte de paquetes, y su viabilidad depende de poder incluir y valorar conceptos sociales como aportación a los clientes y a la sociedad. Por su parte, Jiang et al (2020) concluyen que el metro es adecuado para la distribución en ciudades con una gran rotación de mercancías, mientras que los autobuses y los tranvías resultan más adecuados para la distribución en áreas con baja rotación de mercancías. En la sociedad actual, donde la eficiencia energética es cada vez más importante, el transporte urbano de mercancías basado en el metro es más competitivo que los autobuses y tranvías.…”
Section: Sistemas Logísticos Urbanos a Través De Metro O Tranvía (M-uls)unclassified