Equilibrium Analysis of Full-Day Commuting with Telecommuting and Autonomous Vehicles

References

• Asgari H, Jin X (2018) An evaluation of part-day telecommute impacts on work trip departure times. Travel Behaviour Soc. 12:84–92.Crossref, Google Scholar
• Bao Y, Bao Y, Kang L (2025) Modeling the departure time choices of attendees for special events with cruising-for-parking. Transportation Res. Part E Logist. Transportation Rev. 198:104103.Crossref, Google Scholar
• Burns LD (2013) A vision of our transport future. Nature 497(7448):181–182.Crossref, Google Scholar
• Dai J, Zheng C, Ma W, Li R (2025) How will travel time use and perception be modified by autonomous vehicles? Insights from personal driving commuters and public transport commuters. Transportation Res. Part A Policy Practice 199:104602.Crossref, Google Scholar
• De Palma A, Lindsey R (2002) Comparison of morning and evening commutes in the Vickrey bottleneck model. Transportation Res. Rec. 1807(1):26–33.Crossref, Google Scholar
• Delventhal MJ, Kwon E, Parkhomenko A (2022) JUE insight: How do cities change when we work from home? J. Urban Econom. 127:103331.Crossref, Google Scholar
• Deng Y, Sheng D, Liu B (2021) Managing ship lock congestion in an inland waterway: A bottleneck model with a service time window. Transport Policy 112:142–161.Crossref, Google Scholar
• Eppenberger N, Richter MA (2021) The opportunity of shared autonomous vehicles to improve spatial equity in accessibility and socio-economic developments in European urban areas. Eur. Transport Res. Rev. 13(1):32.Crossref, Google Scholar
• Fagnant DJ, Kockelman K (2015) Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Res. Part A Policy Practice 77:167–181.Crossref, Google Scholar
• Fakhrmoosavi F, Gurumurthy KM, Kockelman KM, Hunter CB, Dean MD (2024) Parking strategies and outcomes for shared autonomous vehicle fleet operations. J. Transportation Engrg. Part A Systems 150(4):04024009.Crossref, Google Scholar
• Kalambay P, Kitali A, Ngereza A, Kidando E, Ogungbire A (2025) Autonomous taxis and ride-sharing vehicles: A social construct perspective for future mobility and infrastructure readiness. Sustainable Cities Soc. 118:106060.Crossref, Google Scholar
• Levin MW, Boyles SD (2016) A multiclass cell transmission model for shared human and autonomous vehicle roads. Transportation Res. Part C Emerging Tech. 62:103–116.Crossref, Google Scholar
• Li ZC, Huang HJ, Yang H (2020) Fifty years of the bottleneck model: A bibliometric review and future research directions. Transportation Res. Part B Methodological 139:311–342.Crossref, Google Scholar
• Li ZC, Lam WH, Wong SC (2014) Bottleneck model revisited: An activity-based perspective. Transportation Res. Part B Methodological 68:262–287.Crossref, Google Scholar
• Liao Z, Wang J, Li Y, Hu X (2022) Managing the morning commute problem with tradable credit schemes under a fully autonomous vehicle environment. Systems 10(6):200.Crossref, Google Scholar
• Liu W (2018) An equilibrium analysis of commuter parking in the era of autonomous vehicles. Transportation Res. Part C Emerging Tech. 92:191–207.Crossref, Google Scholar
• Liu Q, Liu W, Jiang R, Han X (2025) On the morning commute problem with mixed autonomous and human-driven traffic under stochastic bottleneck capacity. Transportation Res. Part B Methodological 195:103203.Crossref, Google Scholar
• Luo L, Parady G, Takami K (2024) Evaluating the impact of automated vehicles on residential location distribution using activity-based accessibility: A case study of Japanese regional areas. Transportation Res. Part A Policy Practice 190:104281.Crossref, Google Scholar
• Motte-Baumvol B, Schwanen T, Bonin O (2024) Telework and the day-to-day variability of travel behaviour: The specificities of Fridays. Transportation Res. Part D Transport Environment 132:104245.Crossref, Google Scholar
• Nilles JM (1988) Traffic reduction by telecommuting: A status review and selected bibliography. Transportation Res. Part A General 22(4):301–317.Crossref, Google Scholar
• Nilles JM (1991) Telecommuting and urban sprawl: Mitigator or inciter? Transportation 18(4):411–432.Crossref, Google Scholar
• Obeid H, Anderson ML, Bouzaghrane MA, Walker J (2024) Does telecommuting reduce trip-making? Evidence from a US panel during the COVID-19 pandemic. Transportation Res. Part A Policy Practice 180:103972.Crossref, Google Scholar
• Pudāne B (2020) Departure time choice and bottleneck congestion with automated vehicles: Role of on-board activities. Eur. J. Transport Infrastructure Res. 20(4):306–334.Crossref, Google Scholar
• Ren T, Huang HJ (2020) A competitive system with transit and highway: Revisiting the political feasibility of road pricing. Transport Policy 88:42–56.Crossref, Google Scholar
• Rezaei A, Caulfield B (2021) Safety of autonomous vehicles: What are the insights from experienced industry professionals? Transportation Res. Part F Traffic Psych. Behav. 81:472–489.Crossref, Google Scholar
• Safirova E (2002) Telecommuting, traffic congestion, and agglomeration: A general equilibrium model. J. Urban Econom. 52(1):26–52.Crossref, Google Scholar
• Sakai T, Akamatsu T, Satsukawa K (2024) A paradox of telecommuting and staggered work hours in the bottleneck model. Transportation Sci. 58(6):1335–1351.Link, Google Scholar
• Tang ZY, Tian LJ, Wang DZ (2021) Multi-modal morning commute with endogenous shared autonomous vehicle penetration considering parking space constraint. Transportation Res. Part E Logist. Transportation Rev. 151:102354.Crossref, Google Scholar
• Tang ZY, Tian LJ, Liu P, Huang HJ (2025) Parking reservation scheme in a commuting system with shared autonomous vehicles and parking space constraint. Transportation Res. Part B Methodological 192:103116.Crossref, Google Scholar
• Tian LJ, Sheu JB, Huang HJ (2019) The morning commute problem with endogenous shared autonomous vehicle penetration and parking space constraint. Transportation Res. Part B Methodological 123:258–278.Crossref, Google Scholar
• Validi A, Olaverri-Monreal C (2021) Simulation-based impact of connected vehicles in platooning mode on travel time, emissions and fuel consumption. 2021 IEEE Intelligent Vehicles Sympos. (IV) (IEEE, Piscataway, NJ), 1150–1155.Google Scholar
• Van Den Berg VAC, Verhoef ET (2016) Autonomous cars and dynamic bottleneck congestion: The effects on capacity, value of time and preference heterogeneity. Transportation Res. Part B Methodological 94:43–60.Crossref, Google Scholar
• Versigghel J, De Vos J, Witlox F (2025) Telework and commuting patterns. An empirical study of workers in Flanders, Belgium. J. Urban Mobility 7:100125.Crossref, Google Scholar
• Vickrey WS (1969) Congestion theory and transport investment. Amer. Econom. Rev. 59(2):251–260.Google Scholar
• Wu S, Li ZC (2023) Managing a bi-modal bottleneck system with manned and autonomous vehicles: Incorporating the effects of in-vehicle activity utilities. Transportation Res. Part C Emerging Tech. 152:104179.Crossref, Google Scholar
• Wu J, Tian Y, Sun J (2023) Managing ridesharing with incentives in a bottleneck model. Res. Transportation Econom. 101:101349.Crossref, Google Scholar
• Xiao LL, Liu TL, Huang HJ, Liu R (2025) Optimal spatial-temporal capacity allocation for morning commute with carpool considering parking supply constraint. Transport Policy 168:157–167.Crossref, Google Scholar
• Xue F, Yao E, Cherchi E, Correia GHDA (2024) Modeling the joint choice behavior of commuters’ travel mode and parking options for private autonomous vehicles. Transportation Res. Part C Emerging Tech. 159:104471.Crossref, Google Scholar
• Yang Z, De Palma A, Geroliminis N (2024) Tailored priority allocation in the bottleneck model with general user heterogeneity. Transportation Res. Part B Methodological 190:103093.Crossref, Google Scholar
• Yu X, Van Den Berg VAC, Verhoef ET (2022) Autonomous cars and activity-based bottleneck model: How do in-vehicle activities determine aggregate travel patterns? Transportation Res. Part C Emerging Tech. 139:103641.Crossref, Google Scholar
• Yu X, Van Den Berg VAC, Verhoef ET (2025) Preference heterogeneity in a dynamic flow congestion model. Transportation Res. Part B Methodological 195:103193.Crossref, Google Scholar
• Zhang X, Huang HJ, Zhang HM (2008) Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city. Transportation Res. Part B Methodological 42(1):38–56.Crossref, Google Scholar
• Zhang L, Wang Y, Yu B (2025) Integrated shared autonomous vehicles and bus bridging service for MRT disruption management. Transportation Res. Part C Emerging Tech. 178:105236.Crossref, Google Scholar
• Zhang W, Guhathakurta S, Fang J, Zhang G (2015) Exploring the impact of shared autonomous vehicles on urban parking demand: An agent-based simulation approach. Sustainable Cities Soc. 19:34–45.Crossref, Google Scholar
• Zhang X, Liu W, Waller ST, Yin Y (2019) Modelling and managing the integrated morning-evening commuting and parking patterns under the fully autonomous vehicle environment. Transportation Res. Part B Methodological 128:380–407.Crossref, Google Scholar
• Zheng Y, Zhang X (2023) Daily commuting and parking pattern under the fully station-based one-way carsharing vehicle environment. J. Transportation Engrg. Part A Systems 149(5):04023026.Crossref, Google Scholar