Investigating the applicability of ADAPTS activity-based model in air quality analysis
Tài liệu tham khảo
Alexander, 2010, Working from 9 to 6? An analysis of in-home and out-of-home working schedules, Transportation (Amst)., 37, 505, 10.1007/s11116-009-9257-1
Arentze, 2004, A learning-based transportation oriented simulation system, Transp. Res. Part B Methodol., 38, 613, 10.1016/j.trb.2002.10.001
Askariyeh, 2013, Projecting emission reductions from prospective mobile sources policies by road link-based modelling, Int. J. Environ. Pollut., 53, 10.1504/IJEP.2013.058820
Auld, 2011
Auld, 2012, Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model, Trans. Res. Part A Policy Pract., 46, 1386, 10.1016/j.tra.2012.05.017
Auld, 2010, Efficient methodology for generating synthetic populations with multiple control levels, Trans. Res. Rec. J. Trans. Res. Board, 2175, 138, 10.3141/2175-16
Auld, 2009, Modeling activity conflict resolution strategies using scheduling process data, Trans. Res. Part A Policy Pract., 43, 386, 10.1016/j.tra.2008.11.006
Auld, 2011, Dynamic activity generation model using competing hazard formulation, Trans. Res. Rec. J. Trans. Res. Board, 2254, 28, 10.3141/2254-04
Beckx, 2009, An integrated activity-based modelling framework to assess vehicle emissions: approach and application, Environ. Plann. B Plann. Des., 36, 1086, 10.1068/b35044
Ben-Akiva, 2012, A dynamic traffic assignment model for highly congested urban networks, Trans. Res. Part C Emerg. Technol., 24, 62, 10.1016/j.trc.2012.02.006
Bhat, 2004, Comprehensive econometric microsimulator for daily activity-travel patterns, Trans. Res. Rec. J. Trans. Res. Board, 1894, 57, 10.3141/1894-07
Bowman, 2001, Activity-based disaggregate travel demand model system with activity schedules, Trans. Res. Part A Policy Pract., 35, 1, 10.1016/S0965-8564(99)00043-9
Chiu, 2010, Development and calibration of the anisotropic mesoscopic simulation model for uninterrupted flow facilities, Trans. Res. Part B Methodol., 44, 152, 10.1016/j.trb.2009.06.001
Doherty, 2004, Computerized household activity-scheduling survey for Toronto, Canada, area: design and assessment, Trans. Res. Rec. J. Trans. Res. Board, 1894, 140, 10.3141/1894-15
Dons, 2011, Using an activity-based framework to determine effects of a policy measure on population exposure to nitrogen dioxide, Trans. Res. Rec. J. Trans. Res. Board, 2233, 72, 10.3141/2233-09
Frignani, 2010, Urban travel route and activity choice survey, Trans. Res. Rec. J. Trans. Res. Board, 2183, 19, 10.3141/2183-03
Fu, 2012, Environmental policy implications of working from home: modelling the impacts of land-use, infrastructure and socio-demographics, Energy Policy, 47, 416, 10.1016/j.enpol.2012.05.014
Golledge, 1994, Computational process modelling of household travel decisions using a geographical information system, Pap. Reg. Sci., 73, 99, 10.1111/j.1435-5597.1994.tb00605.x
Hao, 2010, Integrating an activity-based travel demand model with dynamic traffic assignment and emission models implementation in the Greater Toronto, Canada, Area, Trans. Res. Rec. J. Trans. Res. Board, 2176, 1, 10.3141/2176-01
Hatzopoulou, 2011, Simulating the impacts of household travel on greenhouse gas emissions, urban air quality, and population exposure, Transportation (Amst)., 38, 871, 10.1007/s11116-011-9362-9
Hatzopoulou, 2007, Integrating vehicle emission modeling with activity-based travel demand modeling: case study of the greater Toronto, Canada, Area, Trans. Res. Rec. J. Trans. Res. Board, 2011, 29, 10.3141/2011-04
Hayes-Roth, 1979, A cognitive model of planning, Cognit. Sci., 3, 275, 10.1207/s15516709cog0304_1
He, 2015, Telecommuting, income, and out-of-home activities, Travel Behav. Soc., 2, 131, 10.1016/j.tbs.2014.12.003
Henson, 2009, An assessment of activity-based modeling and simulation for applications in operational studies, disaster preparedness, and homeland security, Trans. Lett., 1, 19, 10.3328/TL.2009.01.01.19-39
Javanmardi, 2016, An optimization approach to resolve activity scheduling conflicts in ADAPTS activity-based model, Transportation (Amst), 10.1007/s11116-016-9721-7
Javanmardi, M., Langerudi, M.F., Shabanpour, R., Mohammadian, K., 2015. Mode choice modelling using personalized travel time and cost data. In: 14th Conference of International Association on Travel Behavior Research (IATBR). Windsor, UK.
Kermanshah, 2017, Robustness of road systems to extreme flooding: using elements of GIS, travel demand, and network science, Nat. Hazards, 86, 151, 10.1007/s11069-016-2678-1
Koenig, 1996, The travel and emissions impacts of telecommuting for the state of California Telecommuting Pilot Project, Trans. Res. Part C Emerg. Technol., 4, 13, 10.1016/0968-090X(95)00020-J
Langerudi, 2016, Resolution of Activity Scheduling Conflicts Reverse Pairwise Comparison of In-Home and Out-of-Home Activities, Trans. Res. Rec. J. Trans. Res. Board, 2566, 41, 10.3141/2566-05
Lin, 2008, Integration of activity-based modeling and dynamic traffic assignment, Trans. Res. Rec. J. Trans. Res. Board, 2076, 52, 10.3141/2076-06
Liu, 2015, Dynamic activity-travel assignment in multi-state supernetworks, Trans. Res. Part B Methodol., 81, 656, 10.1016/j.trb.2015.08.006
Lund, 1994, Telecommuting and residential location: theory and implications for commute travel in monocentric metropolis, Trans. Res. Rec. J. Trans. Res. Board
Miller, 2003, Prototype model of household activity-travel scheduling, Trans. Res. Rec. J. Trans. Res. Board, 1831, 114, 10.3141/1831-13
Miralinaghi, 2016, Multiclass fuzzy user equilibrium with endogenous membership functions and risk-taking behaviors, J. Adv. Trans., 10.1002/atr.1425
Miralinaghi, 2016, Refueling station location problem with traffic deviation considering route choice and demand uncertainty, Int. J. Hydrogen Energy
Miralinaghi, 2016, Multi-period equilibrium modeling planning framework for tradable credit schemes, Trans. Res. Part E Logist. Trans. Rev., 93, 177, 10.1016/j.tre.2016.05.013
Miralinaghi, 2015, A fuzzy network assignment model based on user equilibrium condition, Sci. Iran., 22, 2012
Mokhtarian, 1998, The trade-off between trips and distance traveled in analyzing the emissions impacts of center-based telecommuting, Trans. Res. Part D Trans. Environ., 3, 419, 10.1016/S1361-9209(98)00018-2
Nelson, 2007, Telecommuting and environmental policy: lessons from the ecommute program, Trans. Res. Part D Trans. Environ., 12, 195, 10.1016/j.trd.2007.01.011
Newell, 2002, A simplified car-following theory: a lower order model, Trans. Res. Part B Methodol., 36, 195, 10.1016/S0191-2615(00)00044-8
Oakil, 2016, Rush hour commuting in the Netherlands: Gender-specific household activities and personal attitudes towards responsibility sharing, Travel Behav. Soc., 4, 79, 10.1016/j.tbs.2015.10.003
Pebesma, E., Helle, K., Christoph, S., Rasouli, S., Timmermans, H., Walker, S.-E., Denby, B., 2013. Uncertainty in exposure to air pollution. In: Proceedings of the General Assembly of the European Geosciences Union. Vienna, Austria.
Peeta, 2001, Foundations of dynamic traffic assignment: the past, the present and the future, Networks Spatial Econ., 1, 233, 10.1023/A:1012827724856
Pendyala, 1991, Impact of telecommuting on spatial and temporal patterns of household travel, Transportation (Amst)., 18, 383
Pendyala, 2005, Florida activity mobility simulator: overview and preliminary validation results, Trans. Res. Rec. J. Trans. Res. Board, 1921, 123, 10.1177/0361198105192100114
Pendyala, 2012, Integrated land use-transport model system with dynamic time-dependent activity-travel microsimulation, Trans. Res. Rec. J. Trans. Res. Board, 2303, 19, 10.3141/2303-03
Rasouli, 2014, Activity-based models of travel demand: promises, progress and prospects, Int. J. Urban Sci., 18, 31, 10.1080/12265934.2013.835118
Recker, 1999, Development of a microscopic activity-based framework for analyzing the potential impacts of transportation control measures on vehicle emissions, Trans. Res. Part D Trans. Environ., 4, 357, 10.1016/S1361-9209(99)00014-0
Sasaki, 2010, Measurement of intention to travel: considering the effect of telecommunications on trips, Trans. Res. Part C Emerg. Technol., 18, 36, 10.1016/j.trc.2009.04.012
Shabanpour, R., Golshani, N., Auld, J., Mohammadian, A. (Kouros), 2017a. Dynamics of time-of-day choices in the agent-based dynamic activity planning and travel simulation (ADAPTS) Framework. In: Proceedings of 96th Annual Meeting of Transportation Research Board. Washington, D.C.
Shabanpour, R., Golshani, N., Fasihozaman Langerudi, M., Javanmardi, M., Mohammadian, A. (Kouros), 2017b. Modeling type and duration of in-home activities in ADAPTS activity-based framework. In: Proceedings of 96th Annual Meeting of Transportation Research Board. Washington, D.C.
Shiftan, 2000, The advantage of activity-based modelling for air-quality purposes: theory vs practice and future needs, Innovative. Eur. J. Soc. Sci. Res., 13, 95, 10.1080/135116100111685
Shiftan, 2002, The analysis of travel and emission impacts of travel demand management strategies using activity-based models, Transportation (Amst)., 29, 145, 10.1023/A:1014267003243
USEPA, 2014. Greenhouse Gas Emissions from a Typical Passenger Vehicle. Office of Transportation and Air Quality. EPA-420-F-14-040a.
USEPA, 2012. Motor Vehicle Emission Simulator (MOVES): User Guide Version, MOVES2010b. EPA-420-B-12-001b.
USEPA, 2007. Motor Vehicle Emission Simulator Highway Vehicle Implementation (MOVES-HVI) Demonstration Version, Software Design and Reference Manual. EPA420-P-07-001.
Vallamsundar, 2016, Maternal Exposure to Traffic-Related Air Pollution Across Different Microenvironments, J. Transp. Heal., 3
Vallamsundar, 2011, MOVES Versus MOBILE, Trans. Res. Rec. J. Trans. Res. Board, 2233, 27, 10.3141/2233-04
Vallamsundar, 2016, A comprehensive modeling framework for transportation-induced population exposure assessment, Trans. Res. Part D Trans. Environ., 46, 94, 10.1016/j.trd.2016.03.009
Vovsha, 2006, Advanced activity-based models in context of planning decisions, Trans. Res. Rec. J. Trans. Res. Board, 1981, 34, 10.1177/0361198106198100106
Vovsha, 2004, Hybrid discrete choice departure-time and duration model for scheduling travel tours, Trans. Res. Rec. J. Trans. Res. Board, 1894, 46, 10.3141/1894-06
Waddell, 2002, UrbanSim: modeling urban development for land use, transportation, and environmental planning, J. Am. Plan. Assoc., 68, 297, 10.1080/01944360208976274
Yagi, 2010, An activity-based microsimulation model of travel demand in the Jakarta Metropolitan Area, J. Choice Model., 3, 32, 10.1016/S1755-5345(13)70028-9
Zhou, 2015, Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies, Trans. Res. Part D Trans. Environ., 37, 123, 10.1016/j.trd.2015.04.013
Ziemke, 2015, Integrating CEMDAP and MATSIM to increase the transferability of transport demand models, Trans. Res. Rec. J. Trans. Res. Board, 2493, 117, 10.3141/2493-13
Ziliaskopoulos, 2000, An Internet-based geographic information system that integrates data, models and users for transportation applications, Trans. Res. Part C Emerg. Technol., 8, 427, 10.1016/S0968-090X(00)00027-9
