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CHAPTER 1: INTRODUCTION TO TRANSPORTATION LAND-USE MODELING

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Cervero, R. (2006). Alternative approaches to modeling the travel-demand impacts of smart growth. Journal of the American Planning Association, 72(3), 285–295. https://doi.org/10.1080/01944360608976751

Cervero, R., Rood, T., & Appleyard, B. (1999). Tracking accessibility: Employment and housing opportunities in the San Francisco Bay Area. Environment and Planning A, 31(7), 1259–1278. https://doi.org/10.1068/a311259

Dadashpoor, H., & Malekzadeh, N. (2020). Driving factors of formation, development, and change of spatial structure in metropolitan areas: A systematic review. Journal of Urban Management, 9(3), 286297. https://doi.org/10.1016/j.jum.2020.06.005

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Iacono, M., Levinson, D., El-Geneidy, A., Wasfi, R., & Zhu, S. (2008). Access to destinations: monitoring land use activity changes in the Twin Cities Metropolitan Region. Minnesota Department of Transportation. https://conservancy.umn.edu/handle/11299/151332

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Rodrigue, J.-P. (2013). The geography of transport systems. New York: Routledge.

Shabanpour, R., Golshani, N., Tayarani, M., Auld, J., & Mohammadian, A. K. (2018). Analysis of telecommuting behavior and impacts on travel demand and the environment. Transportation Research Part D: Transport and Environment, 62, 563–576. https://doi.org/10.1016/j.trd.2018.04.003

Sharifiasl, S., Kharel, S., & Pan, Q. (2023). Incorporating job competition and matching to an indicator-based transportation equity analysis for auto and transit in Dallas-Fort Worth Area. Transportation Research Record, Article 03611981231167424. https://doi.org/10.1177/03611981231167424

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Tillema, T., Hamersma, M., Sussman, J. M., & Arts, J. (2012). Extending the scope of highway planning: accessibility, negative externalities and the residential context. Transport Reviews, 32(6), 745–759. https://doi.org/10.1080/01441647.2012.724726

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CHAPTER 2: A BRIEF HISTORY OF URBAN TRANSPORTATION PLANNING AND KEY ISSUES ABSTRACT

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Duarte, F., & Ratti, C. (2018). The impact of autonomous vehicles on cities: A review. Journal of Urban Technology, 25(4), 3–18. https://doi.org/10.1080/10630732.2018.1493883

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Jin, J., & Rafferty, P. (2018). Externalities of auto traffic congestion growth: Evidence from the residential property values in the US Great Lakes megaregion. Journal of Transport Geography, 70, 131–140. https://doi.org/10.1016/j.jtrangeo.2018.05.022

Karner, A., London, J., Rowangould, D., & Manaugh, K. (2020). From transportation equity to transportation justice: Within, through, and beyond the state. Journal of Planning Literature, 35(4), 440–459. https://doi.org/10.1177/0885412220927691

National Academies of Sciences, Engineering, and Medicine. 2018. Critical issues in transportation 2019. Washington, DC: The National Academies Press.  https://nap.nationalacademies.org/catalog/25314/critical-issues-in-transportation-2019

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Whitnah, D. R. (1998). US Department of Transportation: A reference history. Greenwood Publishing Group.

Winston, C. (2013). On the performance of the U.S. transportation system: Caution ahead. Journal of Economic Literature, 51(3), 773–824. https://www.jstor.org/stable/23644829

CHAPTER 3: AN OVERVIEW TO INTEGRATED LAND-USE TRANSPORTATION MODELING PROCESS

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Boarnet, M. G., Hong, A., & Santiago-Bartolomei, R. (2017). Urban spatial structure, employment subcenters, and freight travel. Journal of Transport Geography, 60, 267–276. https://doi.org/10.1016/j.jtrangeo.2017.03.007

Cervero, R., & Wu, K-L. (1997). Polycentrism, commuting, and residential location in the San Francisco Bay Area. Environment and Planning A: Economy and Space, 29(5), 865–886. https://doi.org/10.1068/a290865

Davidson, K. B. (1977). Accessibility in transport/land-use modelling and assessment. Environment and Planning A, 9(12), 1401–16. https://doi.org/10.1068/a091401

Giuliano, G. (2004). Land use impacts of transportation investments; highway and transit. In S. Hanson, G,. Giuliano, (Eds.), The geography of urban transportation. Guilford Press, pp. 237–273. https://trid.trb.org/view/756066

Giuliano, G., & Small, K. A. (1991). Subcenters in the Los Angeles region. Regional Science and Urban Economics, 21(2), 163–182. https://doi.org/10.1016/0166-0462(91)90032-I

Hansen, W. (1959). How accessibility shapes land use. Journal of the American Institute of Planners, 25(2), 73–76. https://doi.org/10.1080/01944365908978307

Hensher, D. A. (2004). Handbook of transport geography and spatial systems. Emerald Group Publishing Limited eBooks. https://doi.org/10.1108/9781615832538

Iacono, M., Levinson, D., El-Geneidy, A., Wasfi, R., & Zhu, S. (2008). Access to destinations: Monitoring land use activity changes in the Twin Cities Metropolitan Region. Minnesota Department of Transportation. https://conservancy.umn.edu/handle/11299/151332

Liao, J., Tang, L., Shao, G., Su, X., Chen, D., and Xu, T. (2016). Incorporation of extended neighborhood mechanisms and its impact on urban land-use cellular automata simulations. Environmental Modelling & Software, 75, 163–75. https://doi.org/10.1016/j.envsoft.2015.10.014

Mandich, M. J. (2019). Ancient city, universal growth? Exploring urban expansion and economic development on Rome’s Eastern periphery. Frontiers in Digital Humanities, 6, 18. https://doi.org/10.3389/fdigh.2019.00018

Meyer, M. D. (2016). Transportation planning handbook. Institute of Transportation Engineers. John Wiley & Sons. https://users.pfw.edu/sahap/CE450%20Transport%20Policy%20and%20Planning/1.%20Lectures/Books,%20references,%20readings/Transportation%20Planning%20Handbook%20Forth%20Edition.pdf

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Mohsin, M., & Anwar, M.M. (2015). Identification of land uses through the application of Multiple Nuclei Model in Bahawalpur City, Pakistan: Planning perspectives. Sindh University Research Journal-SURJ (Science Series), 47(3), 411–414. https://www.researchgate.net/profile/M-Anwar/publication/282859964_Identification_of_Land_Uses_through_the_A

Faridi, R. (2018, October 31). Multiple nuclei model of Harris and Ullman. Rashid’s Blog: An Educational Portal. https://rashidfaridi.com/2018/10/31/multiple-nuclei-model-of-harris-and-ullman

Pavlovic, M., Ilic, S., Antonic, N., & Culibrk, D. (2022). Monitoring the impact of large transport infrastructure on land use and environment using deep learning and satellite imagery. Remote Sensing, 14(10), 2494. https://doi.org/10.3390/rs14102494

Niedzielski, M. A., & Kucharski, R. (2019). Impact of commuting, time budgets, and activity durations on modal disparity in accessibility to supermarkets. Transportation Research Part D: Transport and Environment, 75, 106–120. https://doi.org/10.1016/j.trd.2019.08.021

Rodrigue, J. P. (2020). The geography of transport systems. Routledge.

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Waddell, P. (2011). Integrated land use and transportation planning and modelling: Addressing challenges in research and practice. Transport Reviews, 31(2), 209–229. https://doi.org/10.1080/01441647.2010.525671

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CHAPTER 4: URBAN FORM AND LAND USE – TRANSPORTATION INTERACTION

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Anas, A. (2013). Modelling in urban and regional economics. Taylor & Francis. https://www.taylorfrancis.com/chapters/mono/10.4324/9781315014791-1/modeling-urban-regional-economics-alex-anas

Anas, A., Arnott, R., & Small, K. A. (1998). Urban spatial structure. Journal of Economic Literature, 36(3), 1426–1464. https://www.jstor.org/stable/2564805

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Boarnet, M. G., Hong, A., & Santiago-Bartolomei, R. (2017). Urban spatial structure, employment subcenters, and freight travel. Journal of Transport Geography, 60, 267–276. https://doi.org/10.1016/j.jtrangeo.2017.03.007

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Hansen, W. (1959). How accessibility shapes land use. Journal of the American Institute of Planners, 25(2), 73–76. https://doi.org/10.1080/01944365908978307

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CHAPTER 5: Land-Use and Transportation Modeling I: Land-Use Analysis

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Haines, A., Walbrun, C., Kemp, S., Roffers, M., Gurney, L., Erickson, M., & Markham, L. (2005). Land use resource guide. Center for Land Use Education, University of Wisconsin-Stevens Point/Extension. Land use resource guide

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CHAPTER 6: LAND USE AND TRANSPORTATION MODELING II: LOWRY MODEL

Acheampong, R. A., & Silva, E. A. (2015). Land use–transport interaction modeling: A review of the literature and future research directions. Journal of Transport and Land Use, 11–38. https://doi.org/10.5198/jtlu.2015.806

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Hansen, W. (1959). How accessibility shapes land use. Journal of the American Institute of Planners 25(2), 73–76. https://doi.org/10.1080/01944365908978307

Hensher, D. A. (2004). Handbook of transport geography and spatial systems. Elsevier.

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CHAPTER 7: LAND USE AND TRANSPORTATION MODELING III: SOUTHERN CALIFORNIA PLANNING MODEL (SCPM)

Cho, S., Gordon, P., Moore II, J. E., Richardson, H. W., Shinozuka, M., & Chang, S. (2001). Integrating transportation network and regional economic models to estimate the costs of a large urban earthquake. Journal of Regional Science, 41(1), 39–65. https://doi.org/10.1111/0022-4146.00206.

Duncan, C., Landau, S., Cutler, D., Alstadt, B., & Petraglia, L. (2012). Integrating transportation and economic models to assess impact of infrastructure investment. Transportation Research Record, 2297(1), 145–53. https://doi.org/10.3141/2297-18.

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Moore, J. E., Kuprenas, J., Lee, J. J., Gordon, P., Richardson, H., & Pan, Q. (2004). Cost analysis methodology for advanced treatment of stormwater: The Los Angeles case. Journal of Construction Research, 5(02), 149–170 https://doi.org/10.1142/S1609945104000127

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Pan, Q., & Chun, B. (2020). Develop a GIS-based megaregion transportation planning model (University of Texas at Austin. Cooperative Mobility for Competitive Megaregions, Ed.). ROSA P. https://rosap.ntl.bts.gov/view/dot/58659

Pan, Q., Gordon, P., Moore, J. E., & Richardson, H. W. (2011). Modeling of effects of peak load pricing on metropolitan network and activities. Transportation Research Record.   2255(1), 11–19. https://doi.org/10.3141/2255-02

Pan, Q., Richardson, H.W. (2015). Theory and methodologies: Input–Output, SCPM and CGE. In: Richardson, H., Pan, Q., Park, J., Moore II, J. (Eds), Regional economic impacts of terrorist attacks, natural disasters and metropolitan policies. advances in spatial science. Springer. https://doi.org/10.1007/978-3-319-14322-4_2

Richardson, H W, Gordon, P., Jun, M. J., &Kim, M. H. (1993). PRIDE and prejudice: The economic impacts of growth controls in Pasadena. Environment and Planning A: Economy and Space, 25(7), 987–1002. https://doi.org/10.1068/a250987.

Richardson, H. W., Pan, Q., Pak, C., & Moore, J. E. (2015). Regional economic impacts of terrorist attacks, natural disasters and metropolitan policies. Springer.

Sheffi, Y. (1985). Urban transportation networks: equilibrium analysis with mathematical programming methods. Prentice-Hall. http://web.mit.edu/sheffi/www/selectedMedia/sheffi_urban_trans_networks.pdf

Stevens, B. H., Treyz, G. I., Ehrlich, D. J., & Bower, J. R. (1983). A new technique for the construction of non-survey regional input-output models. International Regional Science Review, 8(3), 271–286. https://doi.org/10.1177/016001768300800306

Sui, D., & Springerlink (2008). Geospatial technologies and homeland security: Research frontiers and future challenges. (Vol. 94). Springer Science & Business Media.

CHAPTER 8: LAND USE AND TRANSPORTATION MODELING IV: MEPLAN, TRANUS, TELUM, AND PECAS

Abraham, J. (1998). A review of the MEPLAN modelling framework from a perspective of urban economics. Citeseer. University of Calgary. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=478b3f33497bf8a9a62ca3508150975df994dd93

Abraham, J. E., & Hunt, J. D. (1999). Policy analysis using the Sacramento MEPLAN land use–transportation interaction model. Transportation Research Record: Journal of the Transportation Research Board, 1685(1), 199–208. https://doi.org/10.3141/1685-25

Briassoulis, H. (2020). Analysis of land use change: Theoretical and modeling analysis of land use change: Theoretical and modeling approaches. Regional Research Institute, West Virginia University. https://researchrepository.wvu.edu/cgi/viewcontent.cgi?article=1000&context=rri-web-book

Domencich, T. A., & McFadden, D. (1975). Urban travel demand: A behavioral analysis. North-Holland Publishing Company Limited. https://trid.trb.org/view/48594

Echenique, M. H., Flowerdew, A. D., Hunt, J. D., Mayo, T. R., Skidmore, I. J., & Simmonds, D. C. (1990). The MEPLAN models of Bilbao, Leeds and Dortmund. Transport Reviews, 10(4), 309–22. https://doi.org/10.1080/01441649008716764

Feudo, F. L., Morton, B., Capelle, T., & Prados, E. (2017, December 9). Modeling urban dynamics using LUTI Models: Calibration methodology for the Tranus-based model of the Grenoble Urban Region. 22nd International Conference of Hong Kong Society for Transportation Studies. https://hal.science/hal-01666452

Golias, M., Mishra, S., & Psarros, I. (2016). A guidebook for best practices on integrated land use and travel demand modeling. Tennessee Department of Transportation. https://trid.trb.org/view/1398494

Hensher, D. (2004). Handbook of transport geography and spatial systems. Elsevier.

Hunt, J. D., & Abraham, J. E. (2005). Design and implementation of PECAS: A generalized system for allocating economic production, exchange and consumption quantities. In M.E.H. Lee-Gosselin, and S.T. Doherty, (Eds.). Integrated Land-Use and Transportation Models, Emerald Group Publishing Limited, Bingley (pp. 253–273). https://doi.org/10.1108/9781786359520-011

Hunt, J. D., Kriger, D. S., & Miller, E. J. (2005). Current operational urban land-use-transport modelling frameworks: A review. Transport Reviews, 25(3). https://trid.trb.org/view/768914

Kockelman, K. (2008, August 31). Examination of land use models, emphasizing UrbanSim, TELUM, and suitability analysis. Texas Department of Transportation. Research and Technology Implementation Office & University of Texas at Austin. Center for Transportation Research. ROSA P. https://rosap.ntl.bts.gov/view/dot/16737

Li, W. (2015). Planning for land-use and transportation alternatives: Towards household activity-based urban modeling for sustainable futures. (Publication No. 912289314) [Doctoral dissertation, Massachusetts Institute of Technology]. https://dspace.mit.edu/handle/1721.1/97799

Lowry, I. S. (1964). A model of metropolis. (RM-4035 RC) RAND Corporation. https://www.rand.org/pubs/research_memoranda/RM4035.html

McCoy, M. (2009). California PECAS model development. California Department of Transportation. https://trid.trb.org/view/1410974

Merlin, L. A., Levine, J., & Grengs, J. (2018). Accessibility analysis for transportation projects and plans. Transport Policy, 69, 35–48. https://doi.org/10.1016/j.tranpol.2018.05.014

Modelistica. (2005). TRANUS: Integrated land use and transport modeling system. Manual to the TRANUS model and reporting programs.

Morton, Brian J. (2013). Land use forecasting models for small areas in North Carolina. North Carolina Department of Transportation.

Pozoukidou, Georgia. (2018). Modeling urban dynamics: the case of periurban development in east Thessaloniki. European Journal of Environmental Sciences, 8(1), 23–30. https://doi.org/10.14712/23361964.2018.4

Putman, S. (2005). User manual: TELUM transportation economic land use model, Version 5. Delaware: SH Putman Associates.

Spasovic, LN. (2013). TELUM-interactive software for integrated land use and transportation modeling. New Jersey Institute of Technology.

Waddell, P. and Ulfarsson, G.F. (2004), Introduction to urban simulation: Design and development of operational models. In Hensher, D. A., Button, K. & P. R. Stopher (Eds.), Handbook of transport geography and spatial systems (Vol. 5), Emerald Group Publishing Limited, (pp. 203–236). https://doi.org/10.1108/9781615832538-013

CHAPTER 9: INTRODUCTION TO TRANSPORTATION MODELING: TRAVEL DEMAND MODELING AND DATA COLLECTION 

Ahmed, B. (2012). The traditional four steps transportation modeling using a simplified transport network: A case study of Dhaka City, Bangladesh. International Journal of Advanced Scientific Engineering and Technological Research, 1(1), 19–40. https://discovery.ucl.ac.uk/id/eprint/1418961/

ALMEC, C. (2015). The Project for capacity development on transportation planning and database management in the republic of the Philippines: MMUTIS update and enhancement project (MUCEP): Project Completion Report. Japan International Cooperation Agency. (JICA) Department of Transportation and Communications (DOTC). https://books.google.com/books?id=VajqswEACAAJ.

Beimborn, E., & Kennedy, R. (1996). Inside the black box: Making transportation models work for livable communities. Citizens for a Better Environment and the Environmental Defense Fund. https://www.piercecountywa.gov/DocumentCenter/View/755/A-GuideToModeling?bidId

Ben-Akiva, M., & Lerman, S. R. (1974). Some estimation results of a simultaneous model of auto ownership and mode choice to work. Transportation, 3(4), 357–376. https://doi.org/10.1007/bf00167966

Ewing, R., & Cervero, R. (2010). Travel and the built environment: A meta-analysis. Journal of the American Planning Association, 76(3), 265–294. https://doi.org/10.1080/01944361003766766

Florian, M., Gaudry, M., & Lardinois, C. (1988). A two-dimensional framework for the understanding of transportation planning models. Transportation Research Part B: Methodological, 22(6), 411–419. https://doi.org/10.1016/0191-2615(88)90022-7

Hadi, M., Ozen, H., & Shabanian, S. (2012). Use of dynamic traffic assignment in FSUTMS in support of transportation planning in Florida.Florida International University Lehman Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/24925

Hansen, W. (1959). How accessibility shapes land use. Journal of the American Institute of Planners 25(2), 73–76. https://doi.org/10.1080/01944365908978307

Gavu, E. K. (2010). Network based indicators for prioritizing the location of a new urban transport connection: Case study Istanbul, Turkey [Unpublished Master’s thesis] University of Twente. International Institute for Geo-Information Science and Earth Observation Enschede. http://essay.utwente.nl/90752/1/Emmanuel%20Kofi%20Gavu-22239.pdf

Karner, A., London, J., Rowangould, D., & Manaugh, K. (2020). From transportation equity to transportation justice: Within, through, and beyond the state. Journal of Planning Literature, 35(4), 440–459. https://doi.org/10.1177/0885412220927691

Kneebone, E., & Berube, A. (2013). Confronting suburban poverty in America. Brookings Institution Press. http://www.canatx.org/files/Inspire-Collaboration/Kneebone2013PolicyForumPPT.pdf

Koppelman, Frank S, and Chandra Bhat. (2006). A self-instructing course in mode choice modeling: multinomial and nested logit models. U.S. Department of Transportation Federal Transit Administration. https://www.caee.utexas.edu/prof/bhat/COURSES/LM_Draft_060131Final-060630.pdf

‌Manheim, M. L. (1979). Fundamentals of transportation systems analysis. Volume 1: Basic Concepts. The MIT Press. https://mitpress.mit.edu/9780262632898/fundamentals-of-transportation-systems-analysis/

McNally, M. G. (2007). The four step model. In D. A. Hensher, & K. J. Button (Eds.), Handbook of transport modelling, (Vol. 1, pp.35–53). Emerald Publishing Group. https://escholarship.org/content/qt0r75311t/qt0r75311t.pdf

Meyer, M. D., & Institute of Transportation Engineers. (2016). Transportation planning handbook. Wiley.

Mladenovic, M., & Trifunovic, A. (2014). The shortcomings of the conventional four step travel demand forecasting process. Journal of Road and Traffic Engineering, 60(1), 5–12. The shortcomings of the conventional four step travel demand forecasting process

Mitchell, R. B., and C. Rapkin. (1954). Urban traffic: A function of land use. Columbia University Press. https://doi.org/10.7312/mitc94522

Rahman, M. S. (2008). Understanding the linkages of travel behavior with socioeconomic characteristics and spatial Environments in Dhaka City and urban transport policy applications. [Master’s thesis, Hiroshima University]. Graduate School for International Development and Cooperation. http://sr-milan.tripod.com/Master_Thesis.pdf

Rodrigue, J., Comtois, C., & Slack, B. (2020). The geography of transport systems. New York Routledge.

Shen, Q. (1998). Location characteristics of inner-city neighborhoods and employment accessibility of low-wage workers. Environment and Planning B: Planning and Design, 25(3), 345–365. https://doi.org/10.1068/b250345

Sharifiasl, S., Kharel, S., & Pan, Q. (2023). Incorporating job competition and matching to an indicator-based transportation equity analysis for auto and transit in Dallas-Fort Worth Area. Transportation Research Record, Article 03611981231167424. https://doi.org/10.1177/03611981231167424

Weiner, Edward. (1997). Urban transportation planning in the United States: An historical overview. US Department of Transportation. https://rosap.ntl.bts.gov/view/dot/13691

Xiongbing, J,  Grammenos, F. (2013, May 21). Taking the guesswork out of designing for walkability. Planetizen. https://www.planetizen.com/node/63248

CHAPTER 10: FIRST STEP OF FOUR STEP MODELING (TRIP GENERATION)

Alkaissi, Z. (2021). Trip generation model, Lecture, 4. [PowerPoint slides] Mustansiriya University.  https://uomustansiriyah.edu.iq/media/lectures/5/5_2021_05_17!10_34_51_PM.pdf

Aloc, D. S., & Amar, J. A. C. (2013). Trip generation modelling of Lipa City. Seminar and research methods in civil engineering research program. University of Philippines Diliman. http://dx.doi.org/10.13140/2.1.2171.7126

Ben-Akiva, M.E., Bowman, J.L. (1998). Activity based travel demand model systems. In: P. Marcotte, S. Nguyen, S. (eds), Equilibrium and advanced transportation modelling. Centre for Research on Transportation.Springe.  Kluwer Academic Publishers, pp. 27–46. https://doi.org/10.1007/978-1-4615-5757-9_2

Ettema, D., Borgers, A., & Timmermans, H. (1996). SMASH (Simulation model of activity scheduling heuristics): Some simulations. Transportation Research Record, 1551(1), 88–94. https://doi.org/10.1177/0361198196155100112

Ewing, R., DeAnna, M., & Li, S.C. (1996). Land use impacts on trip generation rates. Transportation Research Record, 1518(1), 1–6. https://doi.org/10.1177/0361198196151800101

Giuliano, G. (2003). Travel, location and race/ethnicity. Transportation Research Part A: Policy and Practice, 37(4), 351–372. https://doi.org/10.1016/S0965-8564(02)00020-4

Glickman, I., Ishaq, R., Katoshevski-Cavari, R., & Shiftan, Y. (2015). Integrating activity-based travel-demand models with land-use and other long-term lifestyle decisions. Journal of Transport and Land Use, 8(3), 71–93. https://doi.org/10.5198/jtlu.2015.658

Institute of Transportation Engineers (ITE), (2021). Trip generation manual. ITE Journal. 91(10). https://www.ite.org/ITEORG/assets/File/ITEJ%20Published/2021/ITE_ITE_October2021.pdf

Jahanshahi, K., Williams, I., & Hao, X. (2009). Understanding travel behaviour and factors affecting trip rates. In European Transport Conference, Netherlands (Vol. 2009). Understanding travel behaviour and factors affecting trip rates

Malayath, M., & Verma, A. (2013). Activity based travel demand models as a tool for evaluating sustainable transportation policies. Research in Transportation Economics, 38(1), 45–66. https://doi.org/10.1016/j.retrec.2012.05.010

Mathew, T. V., & Rao, K. K. (2006). Introduction to transportation engineering. Civil Engineering–Transportation Engineering. IIT Bombay, NPTEL ONLINE, https://www.civil.iitb.ac.in/tvm/2802-latex/demo/tptnEngg.pdf

Mauch, M., & Taylor, B. D. (1997). Gender, race, and travel behavior: Analysis of household-serving travel and commuting in San Francisco bay area. Transportation Research Record, 1607(1), 147–153. https://doi.org/10.3141/1607-20

McNally, M. G. (2007). The four-step model. In D. A. Hensher, & K. J. Button (Eds.), Handbook of transport modelling, (Vol. 1, pp.35–53). Emerald Publishing Group. http://worldcat.org/isbn/0080435947

Meyer, M. D., (2016). Transportation planning handbook. John Wiley & Sons.

New Jersey Transit, N. (1994). Planning for transit-friendly land use: A handbook for New Jersey communities. NJ Transit. https://rosap.ntl.bts.gov/view/dot/561

NHI. (2005). Introduction to urban travel demand forecasting. In National Highway Administration (Ed.), Introduction to Urban Travel Demand Forecasting. American University. Introduction to Urban Travel Demand Forecasting

Park, K., Sabouri, S., Lyons, T., Tian, G., & Ewing, R. (2020). Intrazonal or interzonal? Improving intrazonal travel forecast in a four-step travel demand model. Transportation, 47(5), 2087–2108. https://doi.org/10.3141/1607-20

Sharpe, G. B., Hansen, W. G., & Hamner, L. B. (1958). Factors affecting trip generation of residential land-use areas. Highway Research Board Bulletin, 203. http://onlinepubs.trb.org/Onlinepubs/hrbbulletin/203/203-002.pdf

Wang, X., & Vom Hofe, R. (2020). Selected methods of planning analysis (2nd Ed.). Springer. Springer Nature. https://doi.org/10.1007/978-981-15-2826-2

Whitney, V. (2019, September 29). Activity & trip based travel models. Medium. https://medium.com/data-mining-the-city/activity-trip-based-travel-models-e4833571570

CHAPTER 11: SECOND STEP OF FOUR STEP MODELING (TRIP DISTRIBUTION)

Allen, B. (1984). Trip distribution using composite impedance. Transportation Research Record, 944, 118–127. https://onlinepubs.trb.org/Onlinepubs/trr/1983/944/944-017.pdf

Seggerman, K. E. (2010). Increasing the integration of TDM into the land use and development process (BD-549-12). Fairfax County (Virginia) Department of Transportation. https://www.nctr.usf.edu/pdf/576-11.pdf

Cesario, F. J. (1973). A generalized trip distribution model. Regional Science Journal, 13(2), 233 –247. https://trid.trb.org/view/119996

Council, A. T. (2006). National guidelines for transport system management in Australia 2006.  Australia Transportation Council. https://www.atap.gov.au/sites/default/files/National_Guidelines_Volume_1.pdf

Garber, N. J., & Hoel, L. A. (2018). Traffic and highway engineering. Cengage Learning.

Hansen, W. G. (1962). Evaluation of gravity model trip distribution procedures. Highway Research Board Bulletin, 347, 67 –76. https://onlinepubs.trb.org/Onlinepubs/hrbbulletin/347/347-007.pdf

Ned Levine (2015). CrimeStat: A spatial statistics program for the analysis of crime incident locations (v 4.02). Ned Levine & Associates, Houston, Texas, and the National Institute of Justice.

Lima & Associates. (2011). Lincoln travel demand model. Lincoln Metropolitan Planning Organization. https://www.lincoln.ne.gov/files/sharedassets/public/planning/mpo/projects-amp-reports/tdm11.pdf

Meyer, M. D. (2016). Transportation planning handbook. John Wiley & Sons.

NHI. (2005). Introduction to Urban Travel Demand Forecasting. In National Highway Administration (Ed.), Introduction to Urban Travel Demand Forecasting. American University. Introduction to Urban Travel Demand Forecasting

Pan, Q., Jin, Z., & Liu, X. (2020). Measuring the effects of job competition and matching on employment accessibility. Transportation Research Part D: Transport and Environment, 87, Article 102535. https://doi.org/10.1016/j.trd.2020.102535

PE Lindeburg, M. R. (2017). PPI FE civil review – A comprehensive FE civil review manual (First edition). PPI, a Kaplan Company.

Abedali, A. H, Qasim, G. (2015). Travel demand modeling: AL-Amarah city as a case study. Journal of Duhok University, 20(1), 319 –334. https://doi.org/10.26682/sjuod.2017.20.1.29

Tawfik, A. M., & Rakha, H. A. (2012). Human aspects of route choice behavior: Incorporating perceptions, learning trends, latent classes, and personality traits in the modeling of driver heterogeneity in route choice behavior. Virginia Tech Transportation Institute. http://hdl.handle.net/10919/55070

Thill, J.-C., & Kim, M. (2005). Trip making, induced travel demand, and accessibility. Journal of Geographical Systems, 7(2), 229–248. https://doi.org/10.1007/s10109-005-0158-3

Verlinde, E. (2011). On the origin of gravity and the laws of Newton. Journal of High Energy Physics, 2011(4), 1–27. https://link.springer.com/content/pdf/10.1007/JHEP04(2011)029.pdf

CHAPTER 12: THIRD STEP OF FOUR STEP MODELING (MODE CHOICE MODELS)

Anas, A. (1983). Discrete choice theory, information theory and the multinomial logit and gravity models. Transportation Research Part B: Methodological, 17(1), 13–23. https://doi.org/10.1016/0191-2615(83)90023-1

Barraj, F., & Attalah, Y. (2018). Composite sustainable indicators framework for cost assessment of land transport mode in Lebanon Cities. Journal of Transportation Technologies, 8(3), 232–253. https://doi.org/10.4236/jtts.2018.83013

Barff, R., Mackay, D., & Olshavsky, R. W. (1982). A selective review of travel-mode choice models. Journal of Consumer Research, 8(4), 370–380. https://www.jstor.org/stable/2489024

Ben-Akiva, M., & Bierlaire, M. (1999). Discrete choice methods and their applications to short term travel decisions. In R. Hall, (Ed.), Handbook of transportation science. (pp. 5–34). Springer. https://doi.org/10.1007/b101877

Ben-Akiva, M., & Lerman, S. R. (1974). Some estimation results of a simultaneous model of auto ownership and mode choice to work. Transportation, 3(4), 357–376. https://doi.org/10.1007/BF00167966

Bhat, C. R. (1995). A heteroscedastic extreme value model of intercity travel mode choice. Transportation Research Part B: Methodological, 29(6), 471–483. https://doi.org/10.1016/0191-2615(95)00015-6

Plummer, A. V. (2007). The Chicago area transportation study: Creating the first plan (1955–1962): A narrative. Chicago Area Transportation Study.

Garber, N. J., & Hoel, L. A. (2018). Traffic and highway engineering. Cengage Learning.

Hechter, M., & Kanazawa, S. (1997). Sociological rational choice theory. Annual Review of Sociology, 23(1), 191 –214. https://doi.org/10.1146/annurev.soc.23.1.191

Federal Highway Administration (US), Federal Transit Administration (US). (2017). 2015 status of the nation’s highways, bridges, and transit conditions and performance report to congress. Government Printing Office. https://www.fhwa.dot.gov/policy/2015cpr/pdfs/littlebook.pdf

Koppelman, F. S. (2007). Closed form discrete choice models. In D.A. Hensher, K.J. Button, (Eds.), Handbook of Transport Modelling, (2nd Ed., pp. 57–278). Elsevier. https://www.emerald.com/insight/content/doi/10.1108/9780857245670-013

Levinson, D., Liu, H., Garrison, W., Hickman, M., Danczyk, A., Corbett, M., & Dixon, K. (2014). Fundamentals of transportation. Wikimedia. https://upload.wikimedia.org/wikipedia/commons/7/79/Fundamentals_of_Transportation.pdf

Mathew, T. V., & Rao, K. K. (2006). Introduction to transportation engineering. Civil Engineering–Transportation Engineering. IIT Bombay, NPTEL ONLINE, https://www.civil.iitb.ac.in/tvm/2802-latex/demo/tptnEngg.pdf

McFadden, D. (1980). Econometric models for probabilistic choice among products. Journal of Business, S13–S29. https://www.jstor.org/stable/2352205

McFadden, D., Tye, W. B., & Train, K. (1977). An application of diagnostic tests for the independence from irrelevant alternatives property of the multinomial logit model. Institute of Transportation Studies, University of California Berkeley. https://onlinepubs.trb.org/Onlinepubs/trr/1977/637/637-007.pdf

Meyer, M. D. (2016). Transportation planning handbook. John Wiley & Sons.

Abedali, A. H, Qasim, G. (2015). Travel demand modeling: AL-Amarah city as a case study. Journal of Duhok University, 20(1), 319 –334. https://doi.org/10.26682/sjuod.2017.20.1.29

Swait, J., & Ben-Akiva, M. (1987). Empirical test of a constrained choice discrete model: Mode choice in Sao Paulo, Brazil. Transportation Research Part B: Methodological, 21(2), 103–115. https://doi.org/10.1016/0191-2615(87)90010-5

Warner, S. L. (1962). Stochastic choice of mode in urban travel: A study in binary choice. Northwestern University. https://trid.trb.org/view/242448

CHAPTER 13: LAST STEP OF FOUR STEP MODELING (TRIP ASSIGNMENT MODELS)

Correa, J.R., & Stier-Moses, N.E. (2010). Wardrope equilibria. In J.J. Cochran (Ed.), Wiley encyclopedia of operations research and management science (pp.1–12). John Wiley & Sons. http://dii.uchile.cl/~jcorrea/papers/Chapters/CS2010.pdf

Hui, C. (2014). Application study of all-or-nothing assignment method for determination of logistic transport route in urban planning. Computer Modelling & New Technologies, 18, 932–937. http://www.cmnt.lv/upload-files/ns_25crt_170vr.pdf

Jeihani Koohbanani, M. (2004). Enhancements to transportation analysis and simulation systems[Unpublished Doctoral dissertation]. Virginia Tech. https://vtechworks.lib.vt.edu/bitstream/handle/10919/30092/dissertation-final.pdf?sequence=1&isAllowed=y

Levinson, D., Liu, H., Garrison, W., Hickman, M., Danczyk, A., Corbett, M., & Dixon, K. (2014). Fundamentals of transportation. Wikimedia. https://upload.wikimedia.org/wikipedia/commons/7/79/Fundamentals_of_Transportation.pdf

Mathew, T. V., & Rao, K. K. (2006). Introduction to transportation engineering. Civil engineering–Transportation engineering. IIT Bombay, NPTEL ONLINE. https://www.civil.iitb.ac.in/tvm/2802-latex/demo/tptnEngg.pdf

Meyer, M. D. (2016). Transportation planning handbook. John Wiley & Sons.

Abedali, A. H, Qasim, G. (2015). Travel demand modeling: AL-Amarah city as a case study. Journal of Duhok University, 20(1), 319 –334. https://doi.org/10.26682/sjuod.2017.20.1.29

Rojo, M. (2020). Evaluation of traffic assignment models through simulation. Sustainability, 12(14), 5536. https://doi.org/10.3390/su12145536

Sheffi, Y. (1985). Urban transportation networks: Equilibrium analysis with mathematical programming method. Prentice-Hall. http://web.mit.edu/sheffi/www/selectedMedia/sheffi_urban_trans_networks.pdf

US Bureau of Public Roads. (1964). Traffic assignment manual for application with a large, high speed computer. U.S. Department of Commerce, Bureau of Public Roads, Office of Planning, Urban Planning Division. https://books.google.com/books/about/Traffic_Assignment_Manual_for_Applicatio.html?id=gkNZAAAAMAAJ

Wang, X., & Hofe, R. (2008). Research methods in urban and regional planning. Springer Science & Business Media.