|
shared mobility |
4 |
|
on-demand ride service |
3 |
|
on-demand services |
3 |
|
bikesharing |
2 |
|
broadcasting mode |
2 |
|
built environment |
2 |
|
car-pooling |
2 |
|
commission cap |
2 |
|
competition |
2 |
|
e-hailing taxi service |
2 |
|
equilibrium model |
2 |
|
food delivery |
2 |
|
housing price |
2 |
|
matching and pick-up |
2 |
|
matching mechanism |
2 |
|
matching radius |
2 |
|
on-demand matching |
2 |
|
order cancellation |
2 |
|
pareto-efficient frontier |
2 |
|
platform integration |
2 |
|
platform integrator |
2 |
|
public transit |
2 |
|
reference effect |
2 |
|
regulation |
2 |
|
ride-hailing |
2 |
|
ride-pooling |
2 |
|
ride-sourcing |
2 |
|
ride-sourcing service |
2 |
|
ridesourcing |
2 |
|
short-term demand forecasting |
2 |
|
simulation |
2 |
|
stated preference survey |
2 |
|
subway |
2 |
|
survival analysis |
2 |
|
sustainable transport |
2 |
|
taxi ride-sharing |
2 |
|
traffic congestion |
2 |
|
traffic flow prediction |
2 |
|
waiting time |
2 |
|
willingness to grab |
2 |
|
willingness to wait |
2 |
|
adaboost |
1 |
|
attention mechanism |
1 |
|
autonomous mobility-on-demand systems |
1 |
|
autonomous vehicles |
1 |
|
average detour time |
1 |
|
background traffic |
1 |
|
batch matching |
1 |
|
behavioral experiment |
1 |
|
benefit maximizing |
1 |
|
big data |
1 |
|
bike sharing |
1 |
|
binary integer linear programming |
1 |
|
broadcasting |
1 |
|
bundled mode |
1 |
|
capacity constraint |
1 |
|
choice modeling |
1 |
|
commission rate |
1 |
|
commission regulation |
1 |
|
complement |
1 |
|
complementation |
1 |
|
congestion externality |
1 |
|
congestion toll |
1 |
|
convolutional neural network (cnn) |
1 |
|
cooperation |
1 |
|
correlation adjacent matrix |
1 |
|
cost-sensitive learning |
1 |
|
customer search |
1 |
|
deep learning (dl) |
1 |
|
deep learning model |
1 |
|
deep multi-task learning |
1 |
|
demand distribution |
1 |
|
demand prediction |
1 |
|
demand regulation |
1 |
|
demand splitting |
1 |
|
detour distance |
1 |
|
dirichlet process mixture model |
1 |
|
dispatching process |
1 |
|
driver behavior |
1 |
|
driver revenue |
1 |
|
drivers' income regulation |
1 |
|
drivers' mean routing distance |
1 |
|
drivers’ heterogeneity |
1 |
|
dynamic discrete choice |
1 |
|
dynamic matching strategy |
1 |
|
dynamic price |
1 |
|
dynamic ride-sharing |
1 |
|
dynamic vacant car-passenger meeting |
1 |
|
e-hailing |
1 |
|
electric vehicle |
1 |
|
empirical laws |
1 |
|
equilibrium |
1 |
|
equilibrium analysis |
1 |
|
equity |
1 |
|
euclidean distance |
1 |
|
externality |
1 |
|
feeders |
1 |
|
first-best solution |
1 |
|
first-mile |
1 |
|
first-mile and last-mile problem |
1 |
|
first/last-mile problem |
1 |
|
fleet size control |
1 |
|
food delivery service |
1 |
|
fusion convolutional long short-term memory network (fcl-net) |
1 |
|
gaussian process |
1 |
|
government regulation |
1 |
|
government regulations |
1 |
|
graph convolution |
1 |
|
graph convolutional network |
1 |
|
hexagon-based convolutional neural network (h-cnn) |
1 |
|
high-capacity ride-sharing |
1 |
|
horn-shaped distribution law |
1 |
|
hotelling model |
1 |
|
human drivers |
1 |
|
hyperaggregation function |
1 |
|
idle vehicle repositioning |
1 |
|
incentives |
1 |
|
label distribution learning |
1 |
|
last-mile |
1 |
|
level-4 autonomous vehicles |
1 |
|
long short-term memory (lstm) |
1 |
|
machine learning |
1 |
|
market equilibrium |
1 |
|
market fragmentation |
1 |
|
market thickness |
1 |
|
markov decision process |
1 |
|
matching |
1 |
|
matching frictions |
1 |
|
matching probability |
1 |
|
matching rate |
1 |
|
matching time |
1 |
|
matching time interval |
1 |
|
matching-time interval |
1 |
|
matching-time window |
1 |
|
matrix factorization |
1 |
|
mean-field |
1 |
|
minimum wage guarantee |
1 |
|
mixed agents |
1 |
|
mixed autonomy |
1 |
|
mixed fleet |
1 |
|
mixture-model graph convolutional network |
1 |
|
mobility-on-demand |
1 |
|
modelling |
1 |
|
monopoly optimum |
1 |
|
monte carlo tree search |
1 |
|
multi-graph convolutional network |
1 |
|
multi-graph convolutional neural network |
1 |
|
multi-task |
1 |
|
multimodal transportation |
1 |
|
nash equilibrium |
1 |
|
network detour ratios |
1 |
|
non-ride-pooling |
1 |
|
od demand prediction |
1 |
|
od-based prediction |
1 |
|
on-demand |
1 |
|
on-demand delivery services |
1 |
|
on-demand equilibrium |
1 |
|
on-demand food delivery |
1 |
|
on-demand mobility |
1 |
|
on-demand ride services |
1 |
|
on-demand ride-sourcing |
1 |
|
on-demand service |
1 |
|
online matching |
1 |
|
operating strategies |
1 |
|
order dispatching |
1 |
|
pareto-efficient |
1 |
|
parking behavior |
1 |
|
parking management |
1 |
|
parking spots repurchase |
1 |
|
passenger demand |
1 |
|
passenger heterogeneity |
1 |
|
passengers' mean detour distance |
1 |
|
pca-based missing data imputation |
1 |
|
perceived value |
1 |
|
pick-up time |
1 |
|
platform competition |
1 |
|
platform profit |
1 |
|
poisson distribution |
1 |
|
pool-matching probability |
1 |
|
pooling |
1 |
|
population aging |
1 |
|
price-cap regulation |
1 |
|
pricing |
1 |
|
pricing and equilibrium |
1 |
|
public transit ridership |
1 |
|
public transits |
1 |
|
queueing theory |
1 |
|
random forest |
1 |
|
real-time crash likelihood prediction |
1 |
|
recharging schedule |
1 |
|
reinforcement learning |
1 |
|
reservation and allocation |
1 |
|
revenue management |
1 |
|
ride-on-demand (rod) |
1 |
|
ride-pooling service |
1 |
|
ride-sourcing market |
1 |
|
ride-sourcing platform |
1 |
|
ride-sourcing services |
1 |
|
ride-splitting |
1 |
|
ridesourcing service |
1 |
|
ridesplitting program |
1 |
|
road distance |
1 |
|
routing distance |
1 |
|
scaling laws |
1 |
|
searching radius |
1 |
|
second-best solution |
1 |
|
service rate |
1 |
|
shared parking |
1 |
|
short-term supply-demand forecasting |
1 |
|
simulation experiments |
1 |
|
smote |
1 |
|
social optimum |
1 |
|
social welfare |
1 |
|
spatio-temporal feature |
1 |
|
statistical learning |
1 |
|
streetscape greenery |
1 |
|
subsidy |
1 |
|
substitute |
1 |
|
substitution |
1 |
|
support vector machine |
1 |
|
surge pricing |
1 |
|
system load |
1 |
|
tactical strategy design |
1 |
|
temporal modeling |
1 |
|
time-expanded network |
1 |
|
traffic congestion externality |
1 |
|
traffic emissions |
1 |
|
traffic prediction |
1 |
|
traffic rationing |
1 |
|
transportation network companies |
1 |
|
transportation network company |
1 |
|
travel behavior |
1 |
|
travel time |
1 |
|
trip booking |
1 |
|
urban computing |
1 |
|
user equilibrium |
1 |
|
utilisation rate regulation |
1 |
|
vehicle occupancy rate |
1 |
|
vehicle repositioning |
1 |
|
walking behavior |
1 |
|
win–win situation |
1 |
|
working schedule |
1 |
|
砂浆 (mortar) |
1 |
|
碳纳米管 (carbon nanotube) |
1 |
|
纤维 (fiber) |
1 |
|
起裂断裂韧度 (initial fracture toughness) |
1 |
