Research graph
References from Assessing drone freight demand in intercity mountainous corridors: A discrete choice modeling approach with capacity-constrained simulations. Local targets link to admitted publications; unresolved targets remain external evidence.
Urban air mobility for airport access: mode choice preferences and pricing considerations
10.1016/j.tranpol.2025.07.027 · 2025 · External reference
Demand prediction for urban air mobility using deep learning
10.7717/peerj-cs.1946 · 2024 · External reference
Factors affecting the adoption and use of urban air mobility
10.1016/j.tra.2019.12.020 · 2020 · External reference
Innovating the last mile: consumer acceptance and economic drivers of drone deliveries in urban logistics
10.1016/j.rtbm.2025.101510 · 2025 · External reference
Drone delivery and the value of customer privacy: a discrete choice experiment with U.S. consumers
10.1016/j.trc.2023.104391 · 2023 · External reference
Mode choice modeling for an electric vertical takeoff and landing (eVTOL) air taxi commuting service
2024 · External reference
SP surveys to estimate Airport Shuttle demand in an Urban Air Mobility context
10.1016/j.tranpol.2023.07.019 · 2023 · External reference
Potential market based policy considerations for urban mobility
10.1016/j.jairtraman.2024.102654 · 2024 · External reference
A generalized random regret minimization model
10.1016/j.trb.2014.06.009 · 2014 · External reference
Urban Air Mobility (UAM): airport shuttles or city-taxis?
10.1016/j.tranpol.2024.03.003 · 2024 · External reference
Urban air mobility demand forecasting: modeling evidence from the case study of Milan (Italy)
10.1186/s12544-024-00700-x · 2025 · External reference
Drone service response: spatiotemporal heterogeneity implications
10.1016/j.jtrangeo.2021.103074 · 2021 · External reference
Drones-as-a-Service for last-mile delivery: evidence of economic viability
2025 · External reference
Exploring preferences for transportation modes in an urban air mobility environment: Munich case study
10.1177/0361198119843858 · 2019 · External reference
Are commuter air taxis coming to your city? A ranking of 40 cities in the United States
10.1016/j.trc.2021.103392 · 2021 · External reference
Air corridor planning for urban drone delivery: complexity analysis and comparison via multi-commodity network flow and graph search
10.1016/j.tre.2024.103859 · 2025 · External reference
Unresolved reference
2005 · External reference
Unresolved reference
2015 · External reference
Reliable path planning for drone delivery using a stochastic time-dependent public transportation network
10.1109/tits.2020.2983491 · 2021 · External reference
A comparative study on the motivated consumer innovativeness of drone food delivery services before and after the outbreak of COVID-19
10.1080/10548408.2021.1921671 · 2021 · External reference
A study on the factors influencing the adoption of urban air mobility and the future demand: using the stated preference survey for three UAM operational scenarios in South Korea
10.1016/j.jairtraman.2023.102467 · 2023 · External reference
Urban air mobility for airport access: mode choice preference associated with socioeconomic status and airport usage behavior
10.1016/j.jairtraman.2024.102719 · 2025 · External reference
A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19
10.1016/j.ijhm.2020.102758 · 2021 · External reference
Understanding determinants of willingness to pay for airport shuttle service of urban air mobility
10.1016/j.rtbm.2025.101444 · 2025 · External reference
Choice model based analysis of consumer preference for drone delivery service
10.1016/j.jairtraman.2020.101785 · 2020 · External reference
Revolutionizing healthcare logistics: the strategic role of drone technology in blood bag deliveries for remote and emergency care
10.1016/j.jth.2025.102053 · 2025 · External reference
Queuing theory for efficient drone dispatch in healthcare logistics: an empirical analysis of system performance
10.1016/j.rtbm.2025.101404 · 2025 · External reference
Dynamic truck-drone collaborative transportation during hurricanes
10.1016/j.trc.2025.105322 · 2025 · External reference
Drone on-demand delivery routing problem considering order splitting and battery swapping
10.1016/j.cie.2025.111388 · 2025 · External reference
The optimization of the "UAV-vehicle" joint delivery route considering mountainous cities
10.1371/journal.pone.0265518 · 2022 · External reference
Demand analysis in urban air mobility: a literature review
10.1016/j.jairtraman.2023.102436 · 2023 · External reference
What do people want? An analysis of citizens' willingness to used Advanced Air Mobility in Italy
10.1080/13504851.2022.2138815 · 2024 · External reference
Unresolved reference
1976 · External reference
Business applications of cargo drones in the EU
10.1016/j.trpro.2025.03.095 · 2025 · External reference
Modelling future of airport accessibility: synthetic population and discrete choice model approach to UAM and CCAM demand at Brussels airport
10.1016/j.cstp.2025.101654 · 2026 · External reference
Consumer preferences for innovative and traditional last-mile parcel delivery
10.1108/ijpdlm-01-2021-0013 · 2022 · External reference
Federated resource prediction in UAV networks for efficient composition of drone delivery services
10.1016/j.comnet.2025.111642 · 2025 · External reference
Optimizing last-mile delivery services: a robust truck-drone cooperation model and hybrid metaheuristic algorithm
2024 · External reference
Vertiport performance analysis for on-demand urban air mobility operation in Seoul metropolitan area
10.1007/s42405-022-00505-z · 2022 · External reference
A demand forecasting model for urban air mobility in Chengdu, China
10.1016/j.geits.2024.100173 · 2024 · External reference
Analyzing critical success factors for implementation of drones in the logistics sector using grey-DEMATEL based approach
10.1016/j.cie.2019.106118 · 2019 · External reference
Symbiotic evolution mechanism of urban air mobility industrial innovation ecosystem: evidence from low altitude air mobility in Shenzhen
10.1016/j.jairtraman.2025.102750 · 2025 · External reference
Commuter demand estimation and feasibility assessment for Urban Air Mobility in Northern California
10.1016/j.tra.2021.03.020 · 2021 · External reference
Macroscopic fundamental diagrams for low-altitude air city transport
10.1016/j.trc.2023.104141 · 2023 · External reference
A drone-based logistics network for blood supplies: a genetic algorithm based on greedy search
10.1007/s00500-024-10373-2 · 2024 · External reference
Public acceptance of the use of drones for logistics: the state of play and moving towards more informed debate
10.1016/j.techsoc.2022.101883 · 2022 · External reference
Airspace network design for urban UAV traffic management with congestion
10.1016/j.trc.2024.104882 · 2024 · External reference
Public acceptance of urban air mobility: a study on factors influencing adoption
10.1016/j.sftr.2025.100980 · 2025 · External reference
Spatial drone path planning: a systematic review of parameters and algorithms
10.1016/j.jtrangeo.2025.104209 · 2025 · External reference
Meta-analysis of value of time in freight transportation: a comprehensive review based on discrete choice models
10.1016/j.tra.2020.06.002 · 2020 · External reference
What is the optimal subsidy scheme for multiple port-hinterland corridors with a given subsidy budget?
10.1016/j.rtbm.2025.101412 · 2025 · External reference
Unresolved reference
2003 · External reference
Unresolved reference
2009 · External reference
New insights on random regret minimization models
10.1016/j.tra.2015.01.008 · 2015 · External reference
HDFOS: path planning for heterogeneous truck-drone cooperative delivery and pickup services
10.1007/s11370-025-00615-z · 2025 · External reference
Pandemic-driven acceptance of urban drone deliveries
10.1016/j.tranpol.2023.12.007 · 2024 · External reference
Environmental impact analysis of on-demand urban air mobility: a case study of the Tampa Bay Area
2022 · External reference
Exploring the integration of urban air mobility into Mobility-as-a-Service: a stated preference analysis of commuters
2025 · External reference
Route optimization of green truck-drone collaborative delivery with multiple drops considering demand distribution
10.1080/15568318.2025.2493138 · 2025 · External reference
A drone-based logistics network for blood supplies: a genetic algorithm based on greedy search
10.1007/s00500-024-10373-2 · ExternalCitation · doi-reference
HDFOS: path planning for heterogeneous truck-drone cooperative delivery and pickup services
10.1007/s11370-025-00615-z · ExternalCitation · doi-reference
Vertiport performance analysis for on-demand urban air mobility operation in Seoul metropolitan area
10.1007/s42405-022-00505-z · ExternalCitation · doi-reference
Analyzing critical success factors for implementation of drones in the logistics sector using grey-DEMATEL based approach
10.1016/j.cie.2019.106118 · ExternalCitation · doi-reference
Drone on-demand delivery routing problem considering order splitting and battery swapping
10.1016/j.cie.2025.111388 · ExternalCitation · doi-reference
Federated resource prediction in UAV networks for efficient composition of drone delivery services
10.1016/j.comnet.2025.111642 · ExternalCitation · doi-reference
Modelling future of airport accessibility: synthetic population and discrete choice model approach to UAM and CCAM demand at Brussels airport
10.1016/j.cstp.2025.101654 · ExternalCitation · doi-reference
A demand forecasting model for urban air mobility in Chengdu, China
10.1016/j.geits.2024.100173 · ExternalCitation · doi-reference
A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19
10.1016/j.ijhm.2020.102758 · ExternalCitation · doi-reference
Choice model based analysis of consumer preference for drone delivery service
10.1016/j.jairtraman.2020.101785 · ExternalCitation · doi-reference
Demand analysis in urban air mobility: a literature review
10.1016/j.jairtraman.2023.102436 · ExternalCitation · doi-reference
A study on the factors influencing the adoption of urban air mobility and the future demand: using the stated preference survey for three UAM operational scenarios in South Korea
10.1016/j.jairtraman.2023.102467 · ExternalCitation · doi-reference
Potential market based policy considerations for urban mobility
10.1016/j.jairtraman.2024.102654 · ExternalCitation · doi-reference
Urban air mobility for airport access: mode choice preference associated with socioeconomic status and airport usage behavior
10.1016/j.jairtraman.2024.102719 · ExternalCitation · doi-reference
Symbiotic evolution mechanism of urban air mobility industrial innovation ecosystem: evidence from low altitude air mobility in Shenzhen
10.1016/j.jairtraman.2025.102750 · ExternalCitation · doi-reference
Revolutionizing healthcare logistics: the strategic role of drone technology in blood bag deliveries for remote and emergency care
10.1016/j.jth.2025.102053 · ExternalCitation · doi-reference
Drone service response: spatiotemporal heterogeneity implications
10.1016/j.jtrangeo.2021.103074 · ExternalCitation · doi-reference
Spatial drone path planning: a systematic review of parameters and algorithms
10.1016/j.jtrangeo.2025.104209 · ExternalCitation · doi-reference
Queuing theory for efficient drone dispatch in healthcare logistics: an empirical analysis of system performance
10.1016/j.rtbm.2025.101404 · ExternalCitation · doi-reference
What is the optimal subsidy scheme for multiple port-hinterland corridors with a given subsidy budget?
10.1016/j.rtbm.2025.101412 · ExternalCitation · doi-reference
Understanding determinants of willingness to pay for airport shuttle service of urban air mobility
10.1016/j.rtbm.2025.101444 · ExternalCitation · doi-reference
Innovating the last mile: consumer acceptance and economic drivers of drone deliveries in urban logistics
10.1016/j.rtbm.2025.101510 · ExternalCitation · doi-reference
Public acceptance of urban air mobility: a study on factors influencing adoption
10.1016/j.sftr.2025.100980 · ExternalCitation · doi-reference
Public acceptance of the use of drones for logistics: the state of play and moving towards more informed debate
10.1016/j.techsoc.2022.101883 · ExternalCitation · doi-reference
New insights on random regret minimization models
10.1016/j.tra.2015.01.008 · ExternalCitation · doi-reference
Factors affecting the adoption and use of urban air mobility
10.1016/j.tra.2019.12.020 · ExternalCitation · doi-reference
Meta-analysis of value of time in freight transportation: a comprehensive review based on discrete choice models
10.1016/j.tra.2020.06.002 · ExternalCitation · doi-reference
Commuter demand estimation and feasibility assessment for Urban Air Mobility in Northern California
10.1016/j.tra.2021.03.020 · ExternalCitation · doi-reference
SP surveys to estimate Airport Shuttle demand in an Urban Air Mobility context
10.1016/j.tranpol.2023.07.019 · ExternalCitation · doi-reference
Pandemic-driven acceptance of urban drone deliveries
10.1016/j.tranpol.2023.12.007 · ExternalCitation · doi-reference
Urban Air Mobility (UAM): airport shuttles or city-taxis?
10.1016/j.tranpol.2024.03.003 · ExternalCitation · doi-reference
Urban air mobility for airport access: mode choice preferences and pricing considerations
10.1016/j.tranpol.2025.07.027 · ExternalCitation · doi-reference
A generalized random regret minimization model
10.1016/j.trb.2014.06.009 · ExternalCitation · doi-reference
Are commuter air taxis coming to your city? A ranking of 40 cities in the United States
10.1016/j.trc.2021.103392 · ExternalCitation · doi-reference
Macroscopic fundamental diagrams for low-altitude air city transport
10.1016/j.trc.2023.104141 · ExternalCitation · doi-reference
Drone delivery and the value of customer privacy: a discrete choice experiment with U.S. consumers
10.1016/j.trc.2023.104391 · ExternalCitation · doi-reference
Airspace network design for urban UAV traffic management with congestion
10.1016/j.trc.2024.104882 · ExternalCitation · doi-reference
Dynamic truck-drone collaborative transportation during hurricanes
10.1016/j.trc.2025.105322 · ExternalCitation · doi-reference
Air corridor planning for urban drone delivery: complexity analysis and comparison via multi-commodity network flow and graph search
10.1016/j.tre.2024.103859 · ExternalCitation · doi-reference
Business applications of cargo drones in the EU
10.1016/j.trpro.2025.03.095 · ExternalCitation · doi-reference
A comparative study on the motivated consumer innovativeness of drone food delivery services before and after the outbreak of COVID-19
10.1080/10548408.2021.1921671 · ExternalCitation · doi-reference
What do people want? An analysis of citizens' willingness to used Advanced Air Mobility in Italy
10.1080/13504851.2022.2138815 · ExternalCitation · doi-reference
Route optimization of green truck-drone collaborative delivery with multiple drops considering demand distribution
10.1080/15568318.2025.2493138 · ExternalCitation · doi-reference
Consumer preferences for innovative and traditional last-mile parcel delivery
10.1108/ijpdlm-01-2021-0013 · ExternalCitation · doi-reference
Reliable path planning for drone delivery using a stochastic time-dependent public transportation network
10.1109/tits.2020.2983491 · ExternalCitation · doi-reference
Exploring preferences for transportation modes in an urban air mobility environment: Munich case study
10.1177/0361198119843858 · ExternalCitation · doi-reference
Urban air mobility demand forecasting: modeling evidence from the case study of Milan (Italy)
10.1186/s12544-024-00700-x · ExternalCitation · doi-reference
The optimization of the "UAV-vehicle" joint delivery route considering mountainous cities
10.1371/journal.pone.0265518 · ExternalCitation · doi-reference
Demand prediction for urban air mobility using deep learning
10.7717/peerj-cs.1946 · ExternalCitation · doi-reference
