TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
3 | |
3D visualization | |
A | |
Access | |
Access Trip | |
access/egress trips | |
Accessibility | |
Accessibility metrics | |
Active and Passive Data Integration | |
active modes | |
activities | |
Activity estimation | |
Activity generation model | |
activity opportunity | |
Adaptation stress | |
Adaptive capacity | |
Adaptive Signal Control | |
ADAS data | |
advanced analytics | |
aerial cable cars | |
AFC | |
Affinity Propagation | |
Agent-based mobility simulation | |
agent-based model | |
Agent-Based Modeling | |
Aging society | |
AHP | |
AI-Driven | |
AI-powered simulation | |
Air Pollution | |
Air pollution exposure | |
Air-rail integration | |
aircraft routing | |
airline planning | |
Airport connectivity | |
algorithm design | |
Alighting Incentives Modeling | |
alternating direction method of multipliers | |
Alternative mode collaboration | |
Anomaly detection | |
Anticipatory Matching | |
APC data | |
area selection | |
Artificial bee colony algorithm | |
Asymmetric transit frequency setting | |
Automated Buses | |
Automated Fare Collection (AFC) | |
Automated Fare Collection Data | |
Automated Parcel Lockers | |
Autonomous bus | |
autonomous driving constraints | |
Autonomous Ferry | |
autonomous vehicle | |
AV Behaviour | |
B | |
Backtracking | |
Battery electric bus | |
Battery electric buses | |
Bayesian inference | |
behavioral evolution | |
Behavioral reasoning theory | |
Behavioural Modelling | |
Benchmarking | |
Bi-objective optimization | |
Bicycle crowdshipping | |
bicycle-sharing | |
Bidirectional multi-destination passenger flow | |
Bike sharing | |
Bike-sharing | |
Bike-Sharing System | |
Binary logit Model | |
Blockage | |
Bluetooth data | |
boarding and alighting efficiency | |
Bogotá | |
bottleneck identification | |
Bottleneck Model | |
Branch-and-Price | |
BRT | |
built environment | |
Bundle choices | |
Bus | |
Bus arrival time prediction | |
Bus bunching | |
Bus drivers | |
Bus Dwell Time | |
bus lane | |
Bus lane design problem | |
Bus lanes | |
Bus management system | |
bus network | |
Bus network design | |
bus passengers | |
Bus Performance | |
Bus Priority | |
Bus propulsion | |
Bus Rapid Transit | |
Bus Ridership | |
Bus routing | |
Bus scheduling | |
Bus service | |
Bus service frequency | |
Bus speed prediction | |
Bush-based algorithm | |
C | |
campus bike-sharing | |
Canada | |
capacity analysis | |
Capacity model | |
capacity strengthening | |
Carbon emission reduction | |
Carbon generalized system of preferences | |
Cascading Failures | |
Causal Analysis | |
causal statistical modelling | |
Causality | |
Cell-based passenger dynamics | |
Charger Deployment | |
Charging infrastructure | |
Charging planning | |
Charging Scheduling | |
choice behavior at platforms | |
choice modelling | |
Choice Set Generation | |
Climate adaptation | |
climate change | |
Climate resilience | |
Clustering | |
Clustering analysis | |
Co-modality | |
cogestion rate | |
collaborative optimization | |
Collaborative prediction | |
collaborative pricing | |
column generation | |
Column pre-generation | |
commercial profits | |
Community | |
Community Detection | |
Community Transit System | |
commuter rail | |
Complement rates | |
Complimentary shuttle bus | |
configurable vehicles | |
Congestion | |
connected and automated bus | |
Connected Autonomous Vehicles | |
Continuous approximation | |
continuous model | |
convex optimization | |
Cooperated Connected Automated Mobility | |
Cooperative Transport | |
Correlation analysis | |
Corridor | |
Cost-Benefit Analysis | |
coupled simulation | |
Coverage maximization | |
COVID-19 | |
Crew Scheduling | |
Cross-classified multilevel model(CCMM) | |
Cross-traffic Turn | |
crowd management | |
Crowd-sourced trajectory data | |
crowding | |
Crowding Contribution Index | |
CROWDSHIPPING | |
Cusp Catastrophe Model | |
customized tourist bus | |
Cyclic Timetabling | |
D | |
Danger Zone | |
dashboard | |
Data analysis | |
Data Analytics | |
data architecture | |
Data Fusion | |
Data Integration | |
Data mining | |
data-driven optimisation | |
day-to-day demand stochasticity | |
DBSCAN | |
Decision Support | |
Decision Supporting System | |
Decision-support | |
Deep learning | |
Deep Q-Networks | |
Deep Reinforcement Learning | |
delay | |
Delay insurance | |
Delay Propagation | |
demand data fusion | |
Demand management | |
demand model | |
demand modeling | |
Demand of Shared Mobility | |
Demand prediction | |
Demand response | |
Demand Responsive Transit Services | |
Demand Responsive Transit Zoning | |
Demand Responsive Transport | |
Demand Responsive Transport (DRT) | |
demand-response bus | |
demand-responsive connector | |
Demand-Responsive Transport | |
Dempster-Shafer Theory | |
depot charging | |
Depth-first Search | |
Developing Cities | |
Developing countries | |
dial-a-ride | |
Difference-in-difference analysis | |
Differentiated order allocation strategies | |
Digital Twin | |
Direct Demand Modeling | |
Disability | |
disaster | |
Disaster risk reduction | |
Discrete Choice Experiment | |
Discrete Choice Model | |
Discrete choice modeling | |
discrete choice models | |
Disruption | |
Disruption Management | |
dockless bike-sharing | |
door-to-door | |
Doubly Constrained | |
Driver advisory systems | |
Driver Scheduling | |
Drone data | |
Drone scheduling | |
DRT | |
DRT Efficiency | |
Durbin spatial model | |
dwell time | |
dyadic analysis | |
Dynamic discrete choice analysis | |
Dynamic graph convolution | |
Dynamic holding control | |
dynamic programming | |
Dynamic Rider Matching | |
Dynamic system | |
E | |
e-bike-sharing | |
e-hailing | |
E-Scooter | |
E-scooters | |
Economic | |
Economic feasibility | |
Eigenvalue | |
Elastic Demand | |
Elderly and Non-Elderly | |
Elderly Travel Pattern | |
elderly’s mobility | |
Electric and diesel buses | |
Electric bus | |
Electric bus systems | |
Electric Bus Traffic | |
Electric buses | |
electric fleet procurement | |
Electric moped scooter sharing | |
Electric Moped Sharing Systems | |
electric vehicle routing | |
Electrification | |
Elizabeth Line | |
embedding | |
Emergency evacuation | |
emerging modes | |
emerging technology | |
Emission Pricing | |
Energy consumption | |
Energy consumption estimation | |
Energy Consumption Modeling | |
energy use | |
energy-efficiency | |
epsilon-constraint | |
equity | |
Estimation Methods | |
ETM | |
evacuation | |
Evolutionary dynamics | |
Evolutionary Game Theory | |
Exclusive median bus lanes | |
Explainable Machine Learning | |
Express service design problem | |
Express Services | |
Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) | |
F | |
Factor Analysis | |
Fare | |
fare evasion | |
Fare pricing | |
Fare scheme | |
fare-free public transport | |
fare-free transit | |
Faregate | |
Feature comparison | |
feeder mode | |
Feeder modes | |
feeder service | |
Feeder transit optimization | |
Ferry | |
FFBSS | |
First-Mile | |
fixed effects | |
fleet replacement | |
Fleet replacement planning | |
Fleet Sizing | |
Fleet transition | |
Flexible buses | |
Flexible Transit | |
Foreign object detection | |
Formulation | |
Free and Open Software | |
Freight | |
Freight transport | |
frequency | |
Frequency design | |
Frequency Optimization | |
Frequency Setting | |
Frequency setting problem | |
Frist-Come-First-Served (FCFS) | |
Fuel-cycle cost | |
Fundamental diagram | |
G | |
Gaussian processes | |
GEME-Net | |
gender | |
General Transit Feed Specification | |
generalised journey time | |
Generalized Cost | |
generalized cost model | |
Genetic algorithm | |
Geographically Weighted Regression | |
Geographically Weighted Regression (GWR) | |
geospatial analysis | |
GIS | |
GNN | |
Google Popular Times data | |
gps data | |
GPS tracking data | |
Graph convolution | |
Graph Neural Network | |
Graph Neural Networks | |
Graphical Train Schedule | |
Gravity Model | |
Green extension | |
green logistics | |
Green Slow Mobility | |
Green vehicle | |
Green View Index | |
GTFS | |
H | |
HDBSCAN | |
headway | |
Headway deviation | |
Heterogeneity | |
heterogeneous demand | |
Heterogeneous graph neural network | |
Heterogeneous passengers | |
Heuristic | |
Heuristic Algorithm | |
Heuristics | |
high-speed rail | |
high-speed railway | |
Holding | |
holding policy | |
Hybrid choice model | |
Hybrid Heuristics | |
hybrid modeling | |
Hydrogen bus | |
Hydrogen buses | |
hyper-heuristic | |
I | |
Identification of Unconsidered Alternatives | |
Importance-Performance Analysis (IPA) | |
In-Motion-Transfer (IMT) | |
Incentive scheme | |
Incident Management | |
Incident severity | |
Inclusive services | |
Inclusivity | |
Income | |
Individual mobility | |
Indonesia | |
Inertial and variety-seeking behaviours | |
Informal transit | |
Insertion Heuristic (IH) | |
integer programming | |
Integrated Mobility | |
integrated on-demand transport | |
integrated optimisation | |
integrated passenger–freight transportation | |
Intention to use | |
Intercity travel | |
Interconnected network | |
Interlining | |
Interlining Bus Scheduling | |
intermediate turn-back stations | |
Intermodal Routing | |
intermodality | |
Intracity transit | |
IPF | |
Iterative Backpropagation (IB) | |
J | |
Jakarta | |
Jakarta-Bandung high-speed rail | |
Joint optimisation | |
K | |
K nearest neighbor algorithm | |
K-means | |
K-Means Clustering | |
Knowledge Graph | |
KTX station | |
L | |
Land Use | |
Large Language Model | |
Large neighborhood search | |
Last-Mile | |
Last-mile transport service | |
latent class | |
Latent class analysis | |
Latent Profile Analysis (LPA) | |
Left Turn | |
Level of Service | |
Level of service of public transportation | |
Life zone | |
Light rail | |
limited-stop service | |
Limited-stop services design | |
line operation tactics | |
Line planning | |
Linearization | |
Logistic regression with random effect | |
Logistics | |
Long-distance services | |
longitudinal | |
low-cost transit programs | |
M | |
MaaS | |
MaaS subscription behaviour | |
MaaS Users | |
Machine learning | |
Maintenance | |
major events | |
Markov chain Monte Carlo | |
Markov decision process | |
Mass transit | |
mass transportation | |
Matching optimization | |
Mathematical model | |
mathematical programming | |
matrix factorization | |
MATSim | |
Max-pressure control | |
maximal clique | |
McCormick relaxation | |
MCTS | |
Meta-analysis | |
meta-heuristic | |
metaheuristic | |
Metro | |
metro disruption | |
Metro Disruptions | |
Metro Network | |
Metro ridership dynamics | |
metro service disruptions | |
Metro service interruption | |
Metro System | |
metro transit connection | |
MGWR | |
micro-mobility | |
micromobility | |
Microscopic Traffic Flow Simulation | |
microtransit | |
MILP | |
Minimum Cost Flow (MCF) | |
Mixed bus fleet | |
mixed bus fleets | |
Mixed Integer Linear Programming | |
mixed logit model | |
Mixed passenger and cargo transportation | |
Mixed right-of-way | |
mixed traffic flow | |
mixed-integer linear programming | |
Mixed-Integer Programming | |
mobile application | |
Mobile Big Data | |
Mobile data | |
Mobile monitoring | |
Mobile phone data | |
Mobile recharging | |
Mobility as a Service | |
Mobility as a Service (MaaS) | |
Mobility barriers | |
Mobility big data | |
Mobility data | |
Mobility Device Location Data | |
mobility hubs | |
mobility policy | |
Mobility-On-Demand | |
modal choice | |
Mode choice | |
Mode Choice Predication | |
Mode share | |
mode shift | |
Model | |
Modular Autonomous Vehicle | |
Modular Autonomous Vehicles (MAV) | |
Modular vehicle | |
Modularity | |
Monetary social cost | |
Monthly pass | |
Moran’s I | |
Morning Commute | |
Motorcycle-based | |
Multi-Agent Reinforcement Learning | |
Multi-criteria analysis | |
Multi-dimensional evaluation | |
Multi-graph | |
Multi-level Programming Model | |
Multi-modal network capacity | |
Multi-modal transit | |
Multi-modal transportation | |
Multi-Objective Model | |
Multi-objective optimisation | |
Multi-objective optimization | |
Multi-period | |
multi-period timetable | |
Multilayer network | |
multilevel modelling | |
Multimodal data | |
multimodal network | |
multimodal transit | |
Multimodal transport | |
Multimodal transportation | |
Multimodality | |
Multinomial logistic | |
Multiobjective Transit Network Design Problem | |
multiple periods | |
Multiple terminals | |
N | |
Neighborhood Search | |
Network Analysis | |
Network design | |
Network evaluation | |
network flow | |
Network optimization | |
Network Robustness | |
Network topology | |
Network-based | |
Neural networks | |
Next trip prediction | |
Node-place model | |
non-cyclic timetabling | |
nonlinear programming | |
O | |
O-D Flow Analysis | |
Odd-Even | |
On-demand | |
on-demand feeder bus services | |
On-Demand Ridepooling | |
On-Demand Services | |
On-demand transit | |
on-road charging | |
On-time performance | |
OneBusAway | |
Online activities | |
online stochastic optimization | |
Open Data | |
open innovation | |
Open Source | |
open source data | |
operational delays | |
operational simulation | |
Operations | |
Operations research application | |
Operator profit | |
Optimal Dispatching | |
Optimal Strategy | |
Optimisation | |
optimization | |
Optimization Under Uncertainty | |
Origin and destination algorithm | |
origin-destination | |
Origin-Destination Estimation | |
Origin-destination matrix estimation | |
Overtourism | |
P | |
Paratransit | |
Parcel Delivery | |
Particle Swarm Optimization | |
passenger arrival | |
passenger assignment | |
passenger behaviour | |
Passenger counting data | |
Passenger flow forecasting | |
passenger flow management | |
passenger information systems | |
Passenger loading | |
Passenger origin-destination flows | |
Passenger Path Choice Behavior | |
passenger preferences | |
Passenger rail | |
Passenger Rail Transportation | |
Passenger Route Choices | |
passenger traffic flow | |
Peer-to-peer model | |
Penetration Rate | |
Performance | |
performance measurement | |
Personal Mobility | |
Pick-up and Drop-off Points | |
Pickup and Delivery Problem | |
Piece-wise linear objective | |
Planning and decision-making | |
PLS-SEM | |
PM2.5 | |
Policy | |
policy evaluation | |
Policy impacts | |
Policy/Planning | |
Potential corridors | |
Power grid | |
Predicition | |
predictive modeling of dwell time | |
Predictive modelling | |
Premium seat | |
Pricing | |
Pricing model | |
Prioritization | |
Priority infrastructure | |
probability of stopping | |
Profit maximization | |
Psychological ownership | |
Public Perceptions | |
Public Transit | |
Public Transit Network | |
Public transit network design | |
Public transit pass | |
Public transit service operation | |
Public Transit Transfer | |
Public Transit Usage | |
Public Transport | |
Public transport bicycles | |
Public transport fare | |
Public Transport Operation | |
public transport opportunity | |
public transport patronage | |
public transport performance | |
Public transport pricing | |
Public Transport Priority | |
public transport promotion | |
public transport satisfaction | |
Public transport systems | |
public transport transfer points | |
Public transportation | |
Public transportation demand | |
Public transportation satisfaction | |
Q | |
Quasi-experiment | |
R | |
Rail bus integration | |
Rail Operations | |
Rail Planning | |
Rail transit | |
Railway | |
Railway crossing | |
Railway Network Representation | |
Railway Optimization | |
Railway rescheduling | |
Railway Transportation | |
random forest | |
Random parameter logit (RPL) | |
Range Anxiety | |
Real data | |
Real Estate | |
real-time alerts | |
Real-Time Control | |
Real-time information | |
Real-time Ridesharing | |
Real-time Train Rescheduling | |
Real-time vehicle location | |
RECIFE-MILP | |
Recovery Margin | |
Recursive Logit Model | |
Red truncation | |
refleeting | |
Regional satisfaction differences | |
Regional Transit | |
regression analysis | |
regularity | |
Regulatory policies | |
Reinforcement Learning | |
Relational graph neural network | |
Reliability | |
Rental record big data | |
Rerouting | |
Residents-Involved Approach | |
Resilience | |
resilience assessment | |
Resilience enhancement | |
Resilient design | |
resistive circuits | |
Revealed preference | |
Revealed preferences | |
Revenue Balance Analysis | |
revenue simulation | |
RFM method | |
Ride sharing | |
Ride-hailing | |
Ride-sourcing system electrification | |
Ridership | |
Ridership Forecasting | |
Ridership maximization | |
Ridesharing | |
RIDIT analysis | |
Road Rationing | |
road safety | |
Robotaxi | |
Robust Optimization | |
rolling stock | |
Rolling Stock Rescheduling | |
Rolling Stock Rotation Optimization | |
Route Choice | |
Route Choice Model | |
Route design problem | |
route modeling | |
route optimization | |
Route Search System | |
route selection | |
routing | |
routing optimization | |
Run Time Allowance | |
Run time analysis | |
Running time | |
Running time deviation | |
Runtime Allowance | |
Rural area | |
rural areas | |
Rural public transport | |
S | |
Satisfaction | |
Satisfaction survey | |
Savings Estimation | |
Scaling | |
Scarcity | |
Scenario planning | |
Scheduling | |
scheduling electric vehicles | |
scheduling extra trains | |
Scheduling problem | |
security | |
Self-made dataset | |
SEM-MIMIC | |
Semi-Dynamic Assignment | |
service disruptions | |
Service planning | |
service quality | |
service reliability | |
service scope | |
service volatility | |
Set Covering | |
Shared Autonomous Vehicles | |
shared bike accessibility | |
shared bike usage rate | |
Shared micro-mobility | |
Shared Micromobility | |
shared mobility | |
Shared-Ride Services | |
Short-term prediction | |
Short-turning | |
shuttle bus frequency design | |
Shuttle Transit | |
Simulation | |
simulation experiments | |
simulation model | |
Simulation-based optimization (SBO) | |
Skip-Stop Service | |
Sky View Factor | |
Smart card | |
Smart card data | |
Smart Card Transaction Data | |
Smart Diversion | |
Smartcard | |
Smartcard data | |
Social Capital | |
social impact | |
Social welfare | |
Social welfare maximization | |
Societal benefit | |
Software engineering | |
Spanning Tree | |
spatial accessibility | |
Spatial Difference-in-Differences | |
Spatial Econometrics | |
Spatial modeling | |
Spatial Regression | |
Spatial Spillover Effects | |
spatiotemporal | |
Spatiotemporal Analysis | |
Spatiotemporal changes | |
Spatiotemporal features | |
Stated choice | |
stated choice experiment | |
Stated Preferences | |
Station activities | |
Station area environment | |
station design | |
station transportation efficiency | |
Steiner tree | |
Stochastic | |
Stochastic Demand | |
Stochastic optimization | |
Stochastic Programming | |
Stochastic ridership | |
Stop level | |
Stop-less Service | |
Stop-skipping | |
Street View Imaginary | |
Structural Change | |
Structural Equation Modelling | |
subsidies | |
Substitution rates | |
Suburban area | |
Subway | |
Subway ridership | |
SUMO simulation | |
Supply-demand patterns | |
Sustainable Last-mile Delivery | |
Sustainable policy | |
Sustainable public transport | |
Sustainable Transport | |
synthetic control method | |
synthetic unit | |
System dynamics | |
T | |
tail assignment | |
Tap-out | |
Taxi | |
Taxi Digital Tachograph Data | |
terminus charging | |
the same stop transfer | |
Thematic analysis | |
Thermal comfort | |
ticket pricing | |
tidal traffic | |
time elasticities | |
Time Expanded Network | |
time slots | |
time-dependent demand | |
Time-of-day Electricity Price | |
Time-of-use electricity price | |
Time-space network | |
timepoints | |
Timetable | |
timetable design | |
Timetable Fragility | |
Timetable synchronization | |
Timetabling | |
TOD | |
TOPSIS | |
Tour-based Truncated Choice Model | |
TPASS | |
Track Assignment | |
Track Possessions | |
track utilization | |
Traffic flow | |
Traffic prediction | |
Traffic Signal Operation | |
Traffic Simulation | |
Train group operation | |
Train Network Integration | |
train operation adjustment | |
Train platforming | |
Train rescheduling | |
Train Scheduling | |
Train station attributes | |
Train timetable | |
Train timetabling | |
Train Timetabling Adjustment Problem | |
Train unit and driver scheduling | |
Train unit scheduling | |
Transfer | |
Transfer discount | |
Transfer identification | |
transfer synchronization | |
Transfer time estimation | |
transfer-based transit network | |
Transfers | |
Transformer | |
Transit | |
Transit Application | |
Transit Assignment | |
transit data | |
Transit Demand | |
Transit equity | |
Transit formalization | |
Transit hub | |
Transit Information Inquiry | |
Transit Network | |
Transit Network Design | |
transit network frequency setting problem | |
Transit OD Estimation | |
transit origin-destination matrix estimation | |
transit planning | |
Transit Reliability | |
transit resilience | |
transit ridership | |
Transit Route Design | |
Transit Routes | |
transit satisfaction | |
Transit signal priority | |
Transit Travel Time | |
Transit-Oriented Development | |
Transit-Oriented Development (TOD) | |
Transjakarta | |
Transport Investment Priorities | |
transport modelling | |
Transport planning | |
transport policy | |
Transport terminals | |
transport-related social exclusion | |
Transportation | |
Transportation hub | |
Transportation Network Company (TNC) | |
Transportation Simulation | |
Travel behavior | |
Travel behaviour | |
Travel demand | |
travel demand analysis | |
Travel demand management | |
Travel patterns | |
Travel satisfaction | |
Travel Time Prediction | |
Travel time reliability | |
Travel voucher | |
Travellers’ loyalty | |
Trip Cancellation | |
Trip Coverage | |
trunk-feeder system | |
Turnback Operation | |
Two-sided market | |
Two-Stage Optimization | |
Two-Stage-Least-Squares | |
U | |
UE sensitivity | |
UMAP | |
Uncertain Travel Time | |
Uncertainty | |
Underutilized bus capacity | |
University Transit | |
Unplanned Disruption | |
Urban Activity | |
urban air mobility | |
urban areas | |
urban design | |
urban development | |
Urban Environment | |
urban mass transit systems | |
Urban Mobility | |
urban rail | |
urban rail transit | |
Urban Sprawl | |
Urban Transit | |
urban transport | |
Urban mobility | |
Use Intention | |
User equilibrium | |
User trip pattern | |
user-based rebalancing | |
user-centric approach | |
utility-based approach | |
Utility-Based Route Choice Model | |
V | |
Value of time | |
Value of Travel Time | |
Variational Autoencoder | |
VARMAX model | |
Vehicle actuated programming (VAP) | |
Vehicle energy model | |
Vehicle occupancy | |
Vehicle routing | |
Vehicle Routing Problem with Pick-up and Delivery (VRPPD) | |
vehicle scheduling | |
vehicle scheduling problem | |
Virtual coupling | |
Virtual coupling-decoupling | |
Virtual reality | |
VISSIM | |
Visualization | |
Vulnerability | |
Vulnerability Analysis | |
Vulnerability Assessment | |
W | |
Walking School Bus | |
Weather | |
Weather impact | |
Western Norway | |
Whale Optimization Algorithm | |
Wi-Fi packet sensor | |
Willingness to Pay | |
willingness to recommend | |
Women | |
X | |
x-Minute City | |
XAI | |
XGBoost | |
Y | |
Y-type ART line | |
YOLO | |
Z | |
Zero-emission delivery | |
Zoning Design Problem | |
Γ | |
Γ-Robustness |