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 | |