TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
A | |
Acccessibility | |
Acceptability | |
access control | |
Accessibility | |
Accessibility measures | |
Accessibility sufficiency index | |
Accident | |
Accidents | |
Accra | |
Active mobility | |
active mobility interventions | |
active transportation | |
Activity-Based Demand Model | |
Adaptive transportation | |
adolescence | |
affordability | |
Africa | |
African | |
African cities | |
African continent | |
African Region | |
AfroSAFE | |
AI-enabled system | |
air quality | |
Annual Accident Total | |
Apapa Port area | |
ARIMA | |
Artificial Intelligence | |
Asia | |
Aspirations and capability | |
ATRA | |
ATRC | |
ATS | |
Attitudes and Preferences Survey | |
Attribute levels | |
B | |
Barriers and Drivers | |
Basic needs | |
Bayesian Regression Modelling | |
Behavioural change | |
Best-worst scaling | |
Bicycle mobility | |
Big data | |
Big Data Technology | |
Binomial logistic regression | |
Blackspot | |
Blue Ocean Strategy | |
Bluetooth sensors | |
boda bodas | |
BRT | |
Built environment | |
Bus Drivers | |
Bus Rapid Transit | |
Bus Rapid Transit (BRT) | |
Bus Rapid Transport (BRT) | |
Bus service quality | |
Bus Transport | |
bus use | |
Bus users | |
C | |
Capability approach | |
Capacity Analysis | |
Capacity Assessment Framework | |
Cape Town | |
Capture-Recapture | |
Car Access | |
car ownership | |
car-oriented development | |
Carbon Zero | |
Carpooling | |
Case 2 Best-worst scaling | |
case studies | |
Case study approach | |
Cashless fare collection | |
Challenge | |
Charging infrastructure | |
Charging preference | |
Charging strategies | |
Child pedestrian injuries | |
Children | |
Children travel and safety | |
choice modelling | |
Circular migration | |
cities | |
City of Cape Town | |
Climate change | |
Cloud Based | |
Cluster Analysis | |
clustering analysis | |
co-production | |
Coefficient of Variation | |
Cold chain logistics | |
Commercial minibus (Danfo) | |
commercial motorcyclist | |
community-based action research | |
Commuters | |
comparative analysis | |
Competitiveness | |
Complex risk | |
Computer Vision | |
Conflict | |
congestion | |
congestion in African cities | |
Connectivity | |
consequences | |
convolutional neural networks | |
Cooperatives | |
Cooperatives of Transporters | |
Cost | |
COVID19 | |
crash hotspots | |
crash severity | |
Crashes | |
crowding norms | |
Curbside | |
cycle infrastructure | |
cycling | |
Cycling advocacy | |
Cycling potential | |
D | |
dairy | |
Dakar | |
danger | |
Dar es Salaam | |
Data linkage | |
Decarbonisation | |
Decarbonising African Paratransit systems | |
Dedicated lanes | |
Deep Learning | |
Deep uncertainty | |
Delivery | |
Demand for Electric Mobility | |
Developing cities | |
Development and upliftment | |
digital | |
Digital technology | |
digitalization | |
Dignity | |
dis/Continuity | |
Disability | |
Disabled and Abandoned Vehicles | |
Dodoma | |
Driver | |
Driver Behaviour | |
Driver fatigue | |
Driver Perception | |
Driving patterns | |
Driving Style | |
dry port | |
Dynamic Adaptive Policy Pathways | |
dynamic message signs | |
Dynamical Systems | |
E | |
e-hailing | |
e-mobility | |
Educational migration | |
Effectiveness | |
Efficiency | |
Elderly | |
Electric Minibus Taxi Charging Facility | |
Electric minibus taxis | |
Electric Vehicle charging facilities | |
Electric vehicles | |
Electric Vehicles (EVs) | |
Electric Vehicles Adoption | |
Elimination process | |
Emerging Technologies | |
Emissions | |
Enforcement | |
environmental | |
equitable transport | |
equity | |
Equivalent Accident Number | |
Ethiopia | |
Expected Value Analysis | |
Experiences | |
F | |
Feeder | |
Field experiment | |
Financing | |
Floating car data | |
Floating Catchment Area | |
Footbridges | |
Framework Conditions | |
frozen fish | |
future mobility | |
G | |
Gender | |
Gender and race | |
Gender based Violence | |
General Transit Feed Specification (GTFS) | |
geographic information system (GIS) | |
Ghana | |
Gometro | |
Goods and Services | |
Governance | |
Government policy | |
GPS | |
Greenhouse gas | |
Grid impact | |
H | |
Harassment | |
Health | |
Health facilities | |
Helmet use | |
Heterogeneity | |
hierarchy | |
Hotspot | |
Household expenditure | |
Human factors | |
Human migration | |
HVT | |
Hybrid networks | |
Hybrid transport model | |
Hydrogen | |
I | |
Ikotun | |
immobility | |
impact | |
importation and distribution | |
In-vehicle travel time | |
inadequate sanitation | |
Incident Duration | |
Inclusion | |
Inclusive city | |
inclusive mobility | |
inclusive transport | |
Inclusivity | |
incumbency | |
Informal public transport | |
Informal settlements | |
informal transit | |
informal transport | |
Infrastructure | |
infrastructure interventions | |
Infrastructure monitoring | |
Infrastructure Quality | |
Inland waterways | |
Innovation | |
Innovative measurement and data system | |
Institutional factors | |
Institutional thickness | |
Integration | |
Intelligent Transport System | |
intersectional identity equity | |
Interventions for cycling | |
Introduction | |
Investment | |
IoT | |
IPCC guidelines | |
ITS | |
J | |
justice | |
K | |
Kampala | |
Kano | |
Kenya | |
Kenya Road users | |
Kernel density | |
Kotokuraba Street | |
L | |
Lagos | |
Lagos State | |
Last-mile | |
latent class logit | |
Latin America | |
Learners | |
Level of Service | |
Links | |
Livability | |
livelihoods | |
LMICs | |
Local Government | |
location analysis | |
Logistic Regression | |
logistics | |
long short-term memory | |
Looking back at Day 1 | |
Looking back at Day 2 | |
low-income areas | |
low-income countries | |
M | |
MAC | |
Machine Learning | |
Mapping | |
Maputo metropolitan area | |
Marginalisation | |
Maritime Logistic Corridor | |
Market | |
mass- transit projects | |
means of transport | |
Mega Cities | |
Metropolis | |
metropolitan rail | |
Microscopic Models | |
Midblock | |
milk | |
Minibus | |
Minibus taxi | |
Minibus Taxi Industry | |
minibus taxis | |
mixed method survey | |
Mixed Traffic | |
Mobile app | |
mobile technology | |
Mobility | |
Mobility and accessibility | |
Mobility experiences | |
mobility inclusion | |
Mobility Patterns | |
Mobility poverty | |
mobility practices | |
Mobility program | |
modal transition | |
model circulation | |
modelling | |
motor transport | |
Motorcycle | |
Motorcycle Crash | |
motorcycle taxi | |
Motorcycle-related crashes | |
motorcycle-taxis | |
Motorcyclists | |
motorists behaviours | |
Mozambique | |
Multi-Criteria Decision Analyses | |
multi-criteria decision-making analysis | |
N | |
Nairobi | |
Namibia | |
National Household Travel Survey | |
National Road Safety Culture | |
Naturalisation | |
negotiations | |
Network Optimization | |
network science | |
NHTS data | |
Nigeria | |
NMT Policies | |
Non-Motorised Transport | |
Non-motorized Transport | |
Norway | |
O | |
Observational survey | |
one | |
Opening | |
Optimization | |
overcrowding | |
P | |
Paratransit | |
Paratransit Industry | |
Paratransit transport | |
Passenger acceptability | |
Passenger Capacity | |
Passenger Car Equivalent (PCE) Factor | |
Passenger Falls | |
Passenger related stops | |
passenger satisfaction | |
Passenger Transport | |
Passengers | |
Pavement management | |
Pedestrian | |
Pedestrian behaviour | |
Pedestrian safety | |
pedestrian wayfinding | |
peer research | |
People Behavior | |
perceived service quality | |
Perception | |
perishable | |
Personal safety perceptions | |
Phase in | |
physical activity | |
physical risk measures | |
pillars of action | |
policy | |
Policy implication | |
Political Economy | |
politics | |
Port Governance | |
Potential mobility | |
Potholes | |
practice | |
Precariousness | |
Principal Component Analysis | |
probability | |
PROCEDEE-PROCEED | |
profitability | |
Programme | |
psychometric measures | |
PTV VISSIM | |
Public Bus | |
public health | |
Public health effects | |
Public policy | |
public school girls with disabilities | |
Public transport | |
Public Transport Interchange charging facilities | |
public transport policy | |
Public transport pricing | |
Public Transport Reform | |
Public Transport system | |
Public-Private Partnerships (PPP) | |
Q | |
Qualitative methods | |
qualitative research | |
R | |
Rail | |
Range | |
Red light Behavior | |
regional benchmarking | |
regional rail | |
Regulation | |
Regulations | |
Reinforcement learning | |
Reliability | |
remote sensing | |
Residential Location | |
Ride hailing | |
Ride-hailing | |
rideshare | |
Right data | |
risks and misfortunes | |
Road | |
Road Accident | |
Road crashes | |
Road design | |
Road fatalities | |
road network structure | |
Road pricing | |
Road safety | |
road safety analysis methodologies | |
Road Safety Behaviors | |
Road Safety culture | |
road safety deserts | |
road traffic | |
Road Traffic Crashes | |
Road Traffic Fatalities | |
Road traffic injury surveillance | |
Road traffic mortality | |
road-traffic-accidents | |
roads and public space | |
roadways | |
route option | |
Routes2School | |
Rural mobility | |
Rural roads | |
S | |
Safe System | |
Safe Systems Approach | |
Safe the Roads | |
Safety | |
Safety and Security | |
Safety culture | |
Safety Management | |
Safety perceptions | |
school | |
school children | |
School journeys | |
School transport | |
School transport policies | |
Secondary Cities | |
Secondary Crashes | |
Secondary Towns | |
Sensitivity Analysis | |
service attributes | |
Services Companies | |
Sexual harassment | |
Sexual violence | |
Shared Mobility | |
Shared-ride | |
Signalized Intersections | |
smart cities | |
social exclusion | |
Socially Just Public Transport | |
socio economic factors | |
South Africa | |
south-to-south learning | |
Southern African Development Community | |
southwestern | |
Space transformation | |
Spatial Equity | |
spatial justice | |
spatial-temporal factors | |
speed | |
Sponsor 1 | |
Sponsor 2 | |
Sponsor 3 | |
stakeholders ’identification | |
stakeholders’ engagement | |
star rating | |
Starter cycling cities | |
Starter Cycling City | |
street level bureaucratic discretion | |
stroads | |
Student alumni | |
Sub-Saharan Africa | |
Sub-Saharan African | |
SUMO | |
Supply chain | |
Sustainable Development Goals | |
sustainable mobility | |
Sustainable mobilty | |
Sustainable transport | |
Sustainable Urban Development | |
System | |
Systems thinking | |
T | |
tactics | |
Tanzania | |
The World Bank | |
three | |
three wheelers | |
Three-wheelers | |
time series | |
toilet access | |
Towing | |
townships | |
Tracking | |
Traders | |
Traffic congestion | |
Traffic control | |
Traffic Flow | |
Traffic Flow Management | |
Traffic gridlock | |
Traffic Incident management | |
traffic jams | |
Traffic noise pollution | |
Traffic noise sources | |
traffic prediction | |
Traffic Safety | |
traffic segregation | |
Trains | |
Transfers | |
Transit Oriented Development (TOD) | |
Transitions | |
Transport | |
Transport access | |
Transport companies | |
transport disadvantage | |
transport emissions | |
Transport Equity | |
Transport expenditure | |
Transport fares | |
transport governance | |
transport hubs | |
Transport innovation Implementation | |
Transport Justice | |
Transport management | |
Transport planning | |
Transport reforms | |
Transport Research | |
Transport Routes | |
Transport Simulation | |
Transport subsidisation | |
Transport user needs and preferences | |
Transport-related problems | |
Transportation | |
Transportation barriers | |
Transportation decision making | |
Transportation Poverty | |
Transportation System | |
Travel behavior | |
Travel behaviour | |
Travel decision-making | |
Travel demand | |
Travel Demand Management | |
Travel demand management(TDM) | |
Travel pattern | |
Travel Time | |
Travel time reliability | |
Trip making | |
trips | |
two | |
Two-wheelers | |
U | |
Uber | |
Uganda | |
United Nations | |
Urban | |
Urban Cities | |
urban disorder | |
urban informal transport | |
Urban mobility | |
Urban Passenger Transport | |
urban periphery | |
urban planning | |
Urban Public transport | |
urban science | |
Urban space designs | |
urban street infrastructure | |
Urban Traffic | |
Urban transport | |
Urbanisation | |
urbanization | |
User Experience | |
User needs | |
User Preference | |
user's choice | |
users | |
users` need | |
Users` preference | |
USSD | |
Utility cycling | |
V | |
vehicle | |
vehicle crew labour conditions | |
vehicle emissions | |
Vehicle Telematics | |
Violence against Women | |
Virtual Reality (VR) assessment | |
VISU | |
VREF | |
Vulnerable road user | |
Vulnerable Road users | |
Vulnerable users | |
W | |
walkability | |
walkable road | |
walking | |
Walking behavior | |
Welcome | |
wellness | |
Willingness to accept | |
Women | |
Women commuters | |
Work Precariousness | |
Working Conditions | |
World | |
Y | |
young adults | |
young men | |
youth |