2019
DOI: 10.1016/j.trc.2019.01.006
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Parcel delivery in urban areas: Opportunities and threats for the mix of traditional and green business models

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Cited by 127 publications
(80 citation statements)
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References 29 publications
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“…This last category includes solutions at the planning level that regard how the freight moves within the city, fostering the collaboration among the different actors, transportation modes and integrating people and freight. Many experiences in different cities [6,[14][15][16][17][18][19][20] address the potential of multi-modality and intermodality that integrate traditional vans with non-motorized vehicles as cargo bikes, for sustainable urban freight transport, encouraging their diffusion.…”
Section: Literature Reviewmentioning
confidence: 99%
See 2 more Smart Citations
“…This last category includes solutions at the planning level that regard how the freight moves within the city, fostering the collaboration among the different actors, transportation modes and integrating people and freight. Many experiences in different cities [6,[14][15][16][17][18][19][20] address the potential of multi-modality and intermodality that integrate traditional vans with non-motorized vehicles as cargo bikes, for sustainable urban freight transport, encouraging their diffusion.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Moreover, the awareness of the environmental impact of transportation activities as well as the significant congestion and environmental nuisances encourage the use of non-motorized transport to move people and goods (e.g., bikes and cargo bikes), self-service kiosks (i.e., lockers), and collaborative business models [2][3][4]. As [5,6] point out, the integration of different delivery alternatives is unfortunately not simple due to the relationships and disputes among actors, their business models and the technologies themselves.…”
Section: Introductionmentioning
confidence: 99%
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“…The DS-PIVR method can at most shorten the routing distance of the repositioning vehicle by up to 36.55%, and the total routing distance of the system can be reduced by 18.59%, compared to the DS-RH method (see Table 4). To comprehensively validate the DS-PIVR method, we employ the validation process of previous works [13,27,28,35,36], and numerically generate 50 independent settings for each station of Boston PBS and Washington D.C. PBS, respectively. Table 5 summarizes our computational results for Boston and Washington D.C. PBSs.…”
Section: Validation Of Ds-pivrmentioning
confidence: 99%
“…We remark that the above calculation gives a good approximation of the emissions only in the case of evaluating long-haul shipments at the strategic level. Therefore, in the real-time tools dedicated to more operational phases (see Section 4.4), the emission calculation depends on other factors (e.g., in the case of last-mile logistics [22,23]).…”
mentioning
confidence: 99%