2016
DOI: 10.1016/j.cor.2015.08.013
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Data-driven approaches for emissions-minimized paths in urban areas

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Cited by 55 publications
(45 citation statements)
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“…Hence faster driving is clearly cheaper and less polluting in this context. This is consistent with what was observed by Ehmke et al (2014) for urban areas but different from what occurs in inter-city travel where faster driving entails more pollution which must be weighted against reduced driver wages Demir et al, 2014a).…”
Section: Conclusion and Managerial Insightssupporting
confidence: 79%
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“…Hence faster driving is clearly cheaper and less polluting in this context. This is consistent with what was observed by Ehmke et al (2014) for urban areas but different from what occurs in inter-city travel where faster driving entails more pollution which must be weighted against reduced driver wages Demir et al, 2014a).…”
Section: Conclusion and Managerial Insightssupporting
confidence: 79%
“…In urban areas where a maximum speed limit of 40 km/h is imposed, a fastest path is also a least-polluting path according to Figure 1. However, as in Ehmke et al (2014), this path is not always a shortest path. instead of (i, K, L, j), particularly in urban settings.…”
Section: Network Structurementioning
confidence: 99%
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“…It is noteworthy that the BDA-driven routing problem is mainly studied in static environments based on historical databases (Ehmke et al, 2016;Zhang et al, 2016), while the use of BDA for dynamic routing optimization in real-time contexts is only conceptualized in some theoretical platform-based papers such as Sivamani et al (2014) and . Moreover, the application of BDA on logistics network planning has recently gained more attention, but is still under-examined in both strategic and operational levels Mehmood et al, 2017).…”
Section: Resultsmentioning
confidence: 99%
“…According to Ehmke et al, (2016), driving fewer kilometers reduces the number of emission gasses emitted by the vehicle. This scenario is like spending less time on roads.…”
Section: Dmentioning
confidence: 99%