TY - JOUR
T1 - Designing integrated urban delivery systems using public transport
AU - Azcuy, Irecis
AU - Agatz, Niels
AU - Giesen, Ricardo
N1 - Funding Information:
We would like to thank the support by Fondecyt 1171049, CEDEUS, ANID/FONDAP 15110020, and the BRT Centre of Excellence funded by the Volvo Research and Educational Foundations ( VREF) . The first author acknowledge the support by the National Agency for Research and Development (ANID)/Scholarship Program/DOCTORADO BECAS CHILE/2016 - 21160726.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/12
Y1 - 2021/12
N2 - The growth of online retail leads to increasing last-mile delivery operations that contribute to various negative externalities, such as traffic congestion and air pollution, especially in urban areas. One way to improve urban delivery operations is to use public transport capacity to move goods to intermediate transfer locations from which they can be delivered by (small) vehicles to the final customers. We study the distance savings that can be achieved by such a two-tier urban delivery system. In particular, we focus on determining which transit stop is best located to be used as a transfer location. We present several special cases to get insights into the transfer location decisions. Moreover, we present a mixed-integer linear programming formulation and a heuristic to solve it. To evaluate the different approaches, we run several computational studies. We also perform a sensitivity analysis to assess the impact of different system parameters on the location decisions and system performance. For very conservative benchmarks, the results show that savings up to 7.1 percent are possible from using public transport capacity to support urban delivery. The savings increase with the distance to the depot, tighter deadlines and customers that are clustered around the transit line.
AB - The growth of online retail leads to increasing last-mile delivery operations that contribute to various negative externalities, such as traffic congestion and air pollution, especially in urban areas. One way to improve urban delivery operations is to use public transport capacity to move goods to intermediate transfer locations from which they can be delivered by (small) vehicles to the final customers. We study the distance savings that can be achieved by such a two-tier urban delivery system. In particular, we focus on determining which transit stop is best located to be used as a transfer location. We present several special cases to get insights into the transfer location decisions. Moreover, we present a mixed-integer linear programming formulation and a heuristic to solve it. To evaluate the different approaches, we run several computational studies. We also perform a sensitivity analysis to assess the impact of different system parameters on the location decisions and system performance. For very conservative benchmarks, the results show that savings up to 7.1 percent are possible from using public transport capacity to support urban delivery. The savings increase with the distance to the depot, tighter deadlines and customers that are clustered around the transit line.
UR - http://www.scopus.com/inward/record.url?scp=85119422521&partnerID=8YFLogxK
U2 - 10.1016/j.tre.2021.102525
DO - 10.1016/j.tre.2021.102525
M3 - Article
AN - SCOPUS:85119422521
VL - 156
JO - Transportation Research, Part E: Logistics and Transportation Review
JF - Transportation Research, Part E: Logistics and Transportation Review
SN - 1366-5545
M1 - 102525
ER -