TY - JOUR
T1 - A Simulation-Based Evaluation of a Cargo-Hitching Service for E-Commerce Using Mobility-on-Demand Vehicles
AU - Romano Alho, André
AU - Sakai, Takanori
AU - Oh, Simon
AU - Cheng, Cheng
AU - Seshadri, Ravi
AU - Chong, Wen Han
AU - Hara, Yusuke
AU - Caravias, Julia
AU - Cheah, Lynette
AU - Ben-Akiva, Moshe
PY - 2021
Y1 - 2021
N2 - Time-sensitive parcel deliveries, shipments requested for delivery in a day
or less, are an increasingly important research subject. It is challenging to
deal with these deliveries from a carrier perspective since it entails
additional planning constraints, preventing an efficient consolidation of
deliveries which is possible when demand is well known in advance. Furthermore,
such time-sensitive deliveries are requested to a wider spatial scope than
retail centers, including homes and offices. Therefore, an increase in such
deliveries is considered to exacerbate negative externalities such as
congestion and emissions. One of the solutions is to leverage spare capacity in
passenger transport modes. This concept is often denominated as cargo-hitching.
While there are various possible system designs, it is crucial that such
solution does not deteriorate the quality of service of passenger trips. This
research aims to evaluate the use of Mobility-On-Demand services to perform
same-day parcel deliveries. For this purpose, we use SimMobility, a
high-resolution agent-based simulation platform of passenger and freight flows,
applied in Singapore. E-commerce demand carrier data are used to characterize
simulated parcel delivery demand. Operational scenarios that aim to minimize
the adverse effect of fulfilling deliveries with Mobility-On-Demand vehicles on
Mobility-On-Demand passenger flows (fulfillment, wait and travel times) are
explored. Results indicate that the Mobility-On-Demand services have potential
to fulfill a considerable amount of parcel deliveries and decrease freight
vehicle traffic and total vehicle-kilometers-travelled without compromising the
quality of Mobility On-Demand for passenger travel.
AB - Time-sensitive parcel deliveries, shipments requested for delivery in a day
or less, are an increasingly important research subject. It is challenging to
deal with these deliveries from a carrier perspective since it entails
additional planning constraints, preventing an efficient consolidation of
deliveries which is possible when demand is well known in advance. Furthermore,
such time-sensitive deliveries are requested to a wider spatial scope than
retail centers, including homes and offices. Therefore, an increase in such
deliveries is considered to exacerbate negative externalities such as
congestion and emissions. One of the solutions is to leverage spare capacity in
passenger transport modes. This concept is often denominated as cargo-hitching.
While there are various possible system designs, it is crucial that such
solution does not deteriorate the quality of service of passenger trips. This
research aims to evaluate the use of Mobility-On-Demand services to perform
same-day parcel deliveries. For this purpose, we use SimMobility, a
high-resolution agent-based simulation platform of passenger and freight flows,
applied in Singapore. E-commerce demand carrier data are used to characterize
simulated parcel delivery demand. Operational scenarios that aim to minimize
the adverse effect of fulfilling deliveries with Mobility-On-Demand vehicles on
Mobility-On-Demand passenger flows (fulfillment, wait and travel times) are
explored. Results indicate that the Mobility-On-Demand services have potential
to fulfill a considerable amount of parcel deliveries and decrease freight
vehicle traffic and total vehicle-kilometers-travelled without compromising the
quality of Mobility On-Demand for passenger travel.
KW - SCADA data
KW - Failure prediction
KW - Performance assessment
KW - adaptive maximum mean discrepancy
KW - Convolutional neural network
U2 - 10.3390/futuretransp1030034
DO - 10.3390/futuretransp1030034
M3 - Journal article
SN - 2673-7590
VL - 1
SP - 639
EP - 656
JO - Future Transportation
JF - Future Transportation
IS - 3
ER -