What to assess to model the transport impacts of urban growth? A Delphi approach to examine the space–time suitability of transport indicators

References

• Andrich, D. (1978). A rating formulation for ordered response categories. Psychometrika, 43(4), 561–573.
   Web of Science ®Google Scholar
• AtKisson, A. (1996). Developing indicators of sustainable community: lessons from sustainable Seattle. Environmental Impact Assessment Review, 16(4–6), 337–350.
   Google Scholar
• Bailey, K., Grossardt, T., & Pride-Wells, M. (2007). Community design of a light rail transit-oriented development using casewise visual evaluation (CAVE). Socio-Economic Planning Sciences, 41(3), 235–254.
   Google Scholar
• Bajdor, P., & Grabara, J. (2013). The transport infrastructure investment’s impact on the level of sustainable transport indicators in the Czestochowa city. Applied Mechanics and Materials, 301, 316–323
   Google Scholar
• Bengston, D. N., Fletcher, J. O., & Nelson, K. C. (2004). Public policies for managing urban growth and protecting open space: policy instruments and lessons learned in the United States. Landscape and Urban Planning, 69(2–3), 271–286.
   Web of Science ®Google Scholar
• Berke, P., Godschalk, D. R., & Kaiser, E. J. (2006). Urban land use planning, University of Illinois Press, Urbana, 9780252030796;0252030796;.
   Google Scholar
• Bishop, P., Hines, A., & Collins, T. (2007). The current state of scenario development: an overview of techniques. foresight, 9(1), 5–25.
   Google Scholar
• Booth, A., Sutton, A., & Papaioannou, D. (2016). Systematic approaches to a successful literature review. Sage.
   Google Scholar
• Bossel, H. (1999). Indicators for sustainable development: theory, method, applications. International Institute for Sustainable Development, Winnipeg.
   Google Scholar
• Boulkedid, R., Abdoul, H., Loustau, M., Sibony, O., & Alberti, C. (2011). Using and reporting the Delphi method for selecting healthcare quality indicators: a systematic review. PloS One, 6(6), e20476
   PubMed Web of Science ®Google Scholar
• Buzási, A., & Csete, M. (2015). Sustainability indicators in assessing urban transport systems. Periodica Polytechnica Transportation Engineering, 43(3), 138.
   Google Scholar
• Campbell, S., & Cantrill, J. (2001). Consensus methods in prescribing research. Journal of Clinical Pharmacy and Therapeutics, 26(1), 5–14.
   PubMed Web of Science ®Google Scholar
• Campbell, S. M., Cantrill, J. A., & Roberts, D. (2000). Prescribing indicators for UK general practice: Delphi consultation study. Bmj (Clinical Research Ed..), 321(7258), 425
   PubMedGoogle Scholar
• Castillo, H., & Pitfield, D. E. (2010). ELASTIC—A methodological framework for identifying and selecting sustainable transport indicators. Transportation Research Part D: Transport and Environment, 15(4), 179–188.
   Web of Science ®Google Scholar
• Cavalli-Sforza, V., & Ortolano, L. (1984). Delphi forecasts of land use: Transportation interactions. Journal of Transportation Engineering, 110(3), 324–339.
   Web of Science ®Google Scholar
• Cervero, R. (2006). Alternative Approaches to Modeling the Travel-Demand Impacts of Smart Growth. American Planning Association. Journal of the American Planning Association, 72(3), 285–295.
   Web of Science ®Google Scholar
• Chaffin, W. W., & Talley, W. K. (1980). Individual stability in Delphi studies. Technol Forecast Social, 16(1), 67.
   Web of Science ®Google Scholar
• Chang, J. S. (2006). Models of the relationship between transport and land‐use: A review. Transport Reviews, 26(3), 325–350.
   Web of Science ®Google Scholar
• Corbin, J. M., & Strauss, A. (1990). Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology, 13(1), 3–21.
   Web of Science ®Google Scholar
• Correia, F. N., Da Graça Saraiva, M., Da Silva, F. N., & Ramos, I. (1999). Floodplain Management in Urban Developing Areas. Water Resources Management, 13(1), 1–21.
   Web of Science ®Google Scholar
• Council, N. R. (2002). Key transportation indicators: Summary of a workshop. National Academies Press.
   Google Scholar
• Courtney, K. E. (2009). Sustainable Urban Transportation And Ontario's New Planning Regime: The Provincial Policy Statement, 2005 and the Growth Plan for the Greater Golden Horseshoe. Journal of Environmental Law and Practice, 19, 71–104.
   Google Scholar
• Crisp, J., Pelletier, D., Duffield, C., Adams, A., & Nagy, S. (1997). The Delphi method? Nurs Res, 46(2), 116.
   PubMed Web of Science ®Google Scholar
• Currie, G. (2010). Quantifying spatial gaps in public transport supply based on social needs. Journal of Transport Geography, 18(1), 31–41.
   Web of Science ®Google Scholar
• Custer, R. L., Scarcella, J. A., & Stewart, B. R. (1999). The modified Delphi technique-A rotational modification. Journal of Career and Technical Education, 15(2)
   Google Scholar
• Dadras, M., Shafri, H. Z. M., Ahmad, N., Pradhan, B., & Safarpour, S. Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran. The Egyptian Journal of Remote Sensing and Space Science, 18(1), 35–52
   Web of Science ®Google Scholar
• Dark, S. J., & Bram, D. (2007). The modifiable areal unit problem (MAUP) in physical geography. Progress in Physical Geography, 31(5), 471–479.
   Web of Science ®Google Scholar
• De Ridder, K., Lefebre, F., Adriaensen, S., Arnold, U., Beckroege, W., Bronner, C., … Weber, C. (2008). Simulating the impact of urban sprawl on air quality and population exposure in the German Ruhr area. Part II: Development and evaluation of an urban growth scenario. Atmospheric Environment, 42(30), 7059–7077.
   Web of Science ®Google Scholar
• Dillman Don, A. (2000). Mail and internet surveys. The Tailored Design Method.
   Google Scholar
• Dizdaroglu, D., & Yigitcanlar, T. (2016). Integrating urban ecosystem sustainability assessment into policy-making: Insights from the Gold Coast City. Journal of Environmental Planning and Management, 59(11), 1982–2006.
   Web of Science ®Google Scholar
• Dobranskyte-Niskota, A., Perujo, A., & Pregl, M. (2007). Indicators to assess sustainability of transport activities. European Comission, Joint Research Centre.
   Google Scholar
• Dur, F., & Yigitcanlar, T. (2015). Assessing land-use and transport integration via a spatial composite indexing model. International Journal of Environmental Science and Technology, 12(3), 803–816.
   Web of Science ®Google Scholar
• Dutta, P., Saujot, M., Arnaud, E., Lefevre, B., & Prados, E. (2012). Uncertainty propagation and sensitivity analysis during calibration of tranus, an integrated land use and transport model. ICURPT 2012-International Conference on Urban, Regional Planning and Transportation.
   Google Scholar
• Economic, U.N.D.o., (2007). Indicators of sustainable development: Guidelines and methodologies. United Nations Publications.
   Google Scholar
• Feudo, F. L. (2014). How to Build an Alternative to Sprawl and Auto-centric Development Model through a TOD Scenario for the North-Pas-de-Calais Region? Lessons from an Integrated Transportation-land Use Modelling. Transportation Research Procedia, 4, 154–177.
   Google Scholar
• Fink, A., Kosecoff, J., Chassin, M., & Brook, R. H. (1984). Consensus methods: characteristics and guidelines for use. American Journal of Public Health, 74(9), 979–983.
   PubMed Web of Science ®Google Scholar
• Fotheringham, A. S., & Wong, D. W. S. (1991). The modifiable areal unit problem in multivariate statistical analysis. Environment and Planning A, 23(7), 1025–1044.
   Web of Science ®Google Scholar
• Gakenheimer, R. (1999). Urban mobility in the developing world. Transportation Research Part A: Policy and Practice, 33(7-8), 671–689.
   Web of Science ®Google Scholar
• Geist, M. R. (2010). Using the Delphi method to engage stakeholders: A comparison of two studies. Evaluation and Program Planning, 33(2), 147–154.
   PubMed Web of Science ®Google Scholar
• Gilbert, R., & Tanguay, H. (2000). Sustainable transportation performance indicators project: brief review of some worldwide activity and development of an initial long list of indicators. Mississauga: Centre for Sustainable Transportation.
   Google Scholar
• Goodman, C. M. (1987). The Delphi technique: A critique. Journal of Advanced Nursing, 12(6), 729–734.
   PubMed Web of Science ®Google Scholar
• Habib, K. N. (2014). Household-level commuting mode choices, car allocation and car ownership level choices of two-worker households: the case of the city of Toronto. Transportation, 41(3), 651–672.
   Web of Science ®Google Scholar
• Haghshenas, H., & Vaziri, M. (2012). Urban sustainable transportation indicators for global comparison. Ecological Indicators, 15(1), 115–121.
   Web of Science ®Google Scholar
• Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008–1015.
   PubMed Web of Science ®Google Scholar
• Hayati, E., Majnounian, B., Abdi, E., Sessions, J., & Makhdoum, M. (2013). An expert-based approach to forest road network planning by combining Delphi and spatial multi-criteria evaluation. Environmental Monitoring and Assessment, 185(2), 1767–1776.
   PubMed Web of Science ®Google Scholar
• Heberlein, T. A., & Baumgartner, R. (1978). Factors affecting response rates to mailed questionnaires: A quantitative analysis of the published literature. American Sociological Review, 43(4), 447–462.
   Web of Science ®Google Scholar
• Heiko, A. (2012). Consensus measurement in Delphi studies: review. And Implications for Future Quality Assurance. Technological Forecasting and Social Change, 79(8), 1525–1536.
   Web of Science ®Google Scholar
• Heiko, A., & Darkow, I.-L. (2010). Scenarios for the logistics services industry: a Delphi-based analysis for 2025. International Journal of Production Economics, 127(1), 46–59.
   PubMed Web of Science ®Google Scholar
• Hensher, D. A. (1998). The imbalance between car and public transport use in urban Australia: why does it exist?1. Transport Policy, 5(4), 193–204.
   Google Scholar
• Herva, M., Franco, A., Carrasco, E. F., & Roca, E. (2011). Review of corporate environmental indicators. Journal of Cleaner Production, 19(15), 1687–1699.
   Web of Science ®Google Scholar
• Hiremath, R. B., Balachandra, P., Kumar, B., Bansode, S. S., & Murali, J. (2013). Indicator-based urban sustainability—A review. Energy for Sustainable Development, 17(6), 555–563.
   Web of Science ®Google Scholar
• Hsu, C.-C., & Sandford, B. A. (2007). Minimizing non-response in the Delphi process: how to respond to non-response. Practical Assessment, Research & Evaluation, 12, 62–78.
   Google Scholar
• Ibeas, Á., Cordera, R., dell’Olio, L., & Coppola, P. (2013). Modelling the spatial interactions between workplace and residential location. Transportation Research Part A: Policy and Practice, 49, 110–122.
   Web of Science ®Google Scholar
• Jabareen, Y. R. (2006). Sustainable Urban Forms. Journal of Planning Education and Research, 26(1), 38–52.
   Web of Science ®Google Scholar
• James, J. M., & Bolstein, R. (1992). Large monetary incentives and their effect on mail survey response rates. Public Opinion Quarterly, 56(4), 442–453.
   Web of Science ®Google Scholar
• Joumard, R., Gudmundsson, H., & Folkeson, L. (2011). Framework for Assessing Indicators of Environmental Impacts in the Transport Sector. Transportation Research Record: Journal of the Transportation Research Board, 2242(1), 55–63.
   Google Scholar
• Jun, M.-J., & Hur, J.-W. (2001). Commuting costs of “leap-frog” newtown development in Seoul. Cities, 18(3), 151–158.
   Web of Science ®Google Scholar
• Kamruzzaman, M., Hine, J., & Yigitcanlar, T. (2015). Investigating the link between carbon dioxide emissions and transport-related social exclusion in rural Northern Ireland. International Journal of Environmental Science and Technology, 12(11), 3463–3478.
   Web of Science ®Google Scholar
• Kar, A. K., Ilavarasan, P. V., Gupta, M., Dwivedi, Y. K., Mäntymäki, M., Janssen, M., … Al-Sharhan, S. (2017). Digital Nations–Smart Cities, Innovation, and Sustainability: 16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017, Delhi, India, November 21–23, 2017, Proceedings. Springer.
   Google Scholar
• Kasanko, M., Lavalle, C., Demicheli, L., McCormick, N. L., & Turchini, M. (2002). Land-use and transport-network indicators in the assessment of the sustainability of urban areas.
   Google Scholar
• Keeney, S., McKenna, H., & Hasson, F. (2010). The Delphi Technique in Nursing and Health Research. John Wiley & Sons, Incorporated, Somerset.
   Google Scholar
• Kenworthy, J. (1995). Automobile dependence in Bangkok:: an international comparison with implications for planning policies. World Transport Policy and Practice, 1(3), 31–41.
   Google Scholar
• Kiba-Janiak, M. (2016). Key Success Factors for City Logistics from the Perspective of Various Groups of Stakeholders. Transportation Research Procedia, 12, 557–569.
   Google Scholar
• Koopmans, C., Groot, W., Warffemius, P., Annema, J. A., & Hoogendoorn-Lanser, S. (2013). Measuring generalised transport costs as an indicator of accessibility changes over time. Transport Policy, 29, 154–159.
   Web of Science ®Google Scholar
• Kwan, M.-P., & Weber, J. (2008). Scale and accessibility: Implications for the analysis of land use–travel interaction. Applied Geography, 28(2), 110–123.
   Web of Science ®Google Scholar
• Lähtinen, K., Myllyviita, T., Leskinen, P., & Pitkänen, S. K. (2014). A systematic literature review on indicators to assess local sustainability of forest energy production. Renewable and Sustainable Energy Reviews, 40, 1202–1216.
   Web of Science ®Google Scholar
• Lakshmanan, T. R. (2011). The broader economic consequences of transport infrastructure investments. Journal of Transport Geography, 19(1), 1–12.
   Web of Science ®Google Scholar
• Li, C. (2014). Monitoring and analysis of urban growth process using Remote Sensing, GIS and Cellular Automata modeling: A case study of Xuzhou city, China. Universitätsbibliothek Dortmund.
   Google Scholar
• Linacre, J. M. (2002). Optimizing rating scale category effectiveness. Journal of Applied Measurement, 3(1), 85–106.
   PubMedGoogle Scholar
• Linstone, H. A., & Turoff, M. (1975). The Delphi method techniques and applications. Addision Wesley Publishing Co., Massachusetts.
   Google Scholar
• Litman, T. (2007). Developing indicators for comprehensive and sustainable transport planning. Transportation Research Record: Journal of the Transportation Research Board, 2017(1), 10–15.
   Google Scholar
• Liu, C., Susilo, Y. O., & Karlström, A. (2015). Investigating the impacts of weather variability on individual’s daily activity–travel patterns: A comparison between commuters and non-commuters in Sweden. Transportation Research Part A: Policy and Practice, 82, 47–64.
   Web of Science ®Google Scholar
• Ma, Z., Shao, C., Ma, S., & Ye, Z. (2011). Constructing road safety performance indicators using Fuzzy Delphi Method and Grey Delphi Method. Expert Systems with Applications, 38(3), 1509–1514.
   Web of Science ®Google Scholar
• MacCarthy, B. L., & Atthirawong, W. (2003). Factors affecting location decisions in international operations–a Delphi study. International Journal of Operations & Production Management, 23(7), 794–818.
   Web of Science ®Google Scholar
• Marletto, G., & Mameli, F. (2012). A participative procedure to select indicators of policies for sustainable urban mobility. Outcomes of a national test. European Transport Research Review, 4(2), 79–89.
   Google Scholar
• Mavrakis, A., Papavasileiou, C., & Salvati, L. (2015). Towards (Un)sustainable urban growth? Industrial development, land-use, soil depletion and climate aridity in a Greek agro-forest area. Journal of Arid Environments, 121, 1–6.
   Web of Science ®Google Scholar
• McCool, S. F., & Stankey, G. H. (2004). Indicators of sustainability: challenges and opportunities at the interface of science and policy. Environmental Management, 33(3), 294–305.
   PubMed Web of Science ®Google Scholar
• Mikelbank, B. A. (2010). Quantitative Geography: Perspectives on Spatial Data Analysis, by A. S. Fotheringham, C. Brunsdon, and M. Charlton. Geographical Analysis, 33(4), 370–372.
   Google Scholar
• Mitchell, G. (1996). Problems and fundamentals of sustainable development indicators. Sustainable Development, 4(1), 1–11.
   Google Scholar
• Musa, H. D., Yacob, M. R., Abdullah, A. M., & Ishak, M. Y. (2015). Delphi Method of Developing Environmental Well-being Indicators for the Evaluation of Urban Sustainability in Malaysia. Procedia Environmental Sciences, 30, 244–249.
   Google Scholar
• Naganathan, H., & Chong, W. K. (2017). Evaluation of state sustainable transportation performances (SSTP) using sustainable indicators. Sustainable Cities and Society, 35, 799–815.
   Web of Science ®Google Scholar
• Nicolas, J. P., Pochet, P., & Poimboeuf, H. (2003). Towards sustainable mobility indicators: application to the Lyons conurbation. Transport Policy, 10(3), 197–208.
   Google Scholar
• Oana, P. L., Harutyun, S., Brendan, W., & Sheila, C. (2011). Scenarios and Indicators Supporting Urban Regional Planning. Procedia - Social and Behavioral Sciences, 21, 243–252.
   Google Scholar
• OCDE (2003). Page 5. OECD Core Set of Indicators for Environmental Performance Reviews. OECD Environment Monographs, p. 5.
   Google Scholar
• Pahl-Wostl, C. (2002). Towards sustainability in the water sector–The importance of human actors and processes of social learning. Aquatic Sciences, 64(4), 394–411.
   Web of Science ®Google Scholar
• Perveen, S., Kamruzzaman, M., & Yigitcanlar, T. (2017). What Constitutes a Sustainable Urban Growth Management Policy? A Delphi Approach to Develop Alternative Policy Scenarios. State of Australian Cities Conference. (accepted)
   Google Scholar
• Perveen, S., Yigitcanlar, T., Kamruzzaman, M., & Hayes, J. (2016). Evaluating transport externalities of urban growth: a critical review of scenario-based planning methods. International Journal of Environmental Science and Technology, 1, 16.
   Google Scholar
• Powell, C. (2003). The Delphi technique: myths and realities. Journal of Advanced Nursing, 41(4), 376–382.
   PubMed Web of Science ®Google Scholar
• Radeljak Kaufmann, P. (2016). Integrating factor analysis and the Delphi method in scenario development: A case study of Dalmatia, Croatia. Applied Geography, 71, 56–68.
   Web of Science ®Google Scholar
• Rafiee, R., Mahiny, A. S., Khorasani, N., Darvishsefat, A. A., & Danekar, A. (2009). Simulating urban growth in Mashad City, Iran through the SLEUTH model (UGM). Cities, 26(1), 19–26.
   Web of Science ®Google Scholar
• Rasouli, S., & Timmermans, H. (2014). Activity-based models of travel demand: promises, progress and prospects. International Journal of Urban Sciences, 18(1), 31–60.
   Google Scholar
• Rayens, M. K., & Hahn, E. J. (2000). Building Consensus Using the Policy Delphi Method. Policy, Politics, & Nursing Practice, 1(4), 308–315.
   Google Scholar
• Reckien, D., Ewald, M., Edenhofer, O., & Liideke, M. K. (2007). What parameters influence the spatial variations in CO2 emissions from road traffic in Berlin? Implications for urban planning to reduce anthropogenic CO2 emissions. Urban Studies, 44(2), 339–355.
   Web of Science ®Google Scholar
• Reilly, M. K., O’Mara, M. P., & Seto, K. C. (2009). From Bangalore to the Bay Area: Comparing transportation and activity accessibility as drivers of urban growth. Landscape and Urban Planning, 92(1), 24–33.
   Web of Science ®Google Scholar
• Rossi, R. J., & Gilmartin, K. J. (1980). The handbook of social indicators: sources, characteristics, and analysis. Garland STPM Press.
   Google Scholar
• Roth, N. E., Thorne, J. H., Johnston, R. A., Quinn, J. F., & McCoy, M. C. (2012). Modeling impacts to agricultural revenue and government service costs from urban growth. Journal of Agriculture, Food Systems, and Community Development, 2, 1–20.
   Google Scholar
• Santos, A. S., & Ribeiro, S. K. (2015). The role of transport indicators to the improvement of local governance in Rio de Janeiro City: A contribution for the debate on sustainable future. Case Studies on Transport Policy, 3(4), 415–420.
   Web of Science ®Google Scholar
• Sathish Kumar, D., Arya, D. S., & Vojinovic, Z. (2013). Modeling of urban growth dynamics and its impact on surface runoff characteristics. Computers, Environment and Urban Systems, 41, 124–135.
   Web of Science ®Google Scholar
• Schuckmann, S. W., Gnatzy, T., Darkow, I.-L., & von der Gracht, H. A. (2012). Analysis of factors influencing the development of transport infrastructure until the year 2030—A Delphi based scenario study. Technological Forecasting and Social Change, 79(8), 1373–1387.
   Web of Science ®Google Scholar
• Schwarz, N. (2010). Urban form revisited—Selecting indicators for characterising European cities. Landscape and Urban Planning, 96(1), 29–47.
   Web of Science ®Google Scholar
• Shearer, A. W., Mouat, D. A., Bassett, S. D., Binford, M. W., Johnson, C. W., Saarinen, J. A., … Koracin, J. (2009). Land Use Scenarios: Environmental Consequences of Development. CRC Press, Hoboken.
   Google Scholar
• Shen, L.-Y., Jorge Ochoa, J., Shah, M. N., & Zhang, X. (2011). The application of urban sustainability indicators––A comparison between various practices. Habitat International, 35(1), 17–29.
   Web of Science ®Google Scholar
• Shiftan, Y., Kaplan, S., & Hakkert, S. (2003). Scenario building as a tool for planning a sustainable transportation system. Transportation Research Part D: Transport and Environment, 8(5), 323–342.
   Web of Science ®Google Scholar
• Singh, Y. J., Fard, P., Zuidgeest, M., Brussel, M., & Maarseveen, M. V. (2014). Measuring transit oriented development: a spatial multi criteria assessment approach for the City Region Arnhem and Nijmegen. Journal of Transport Geography, 35, 130–143.
   Web of Science ®Google Scholar
• Smith, J. W., & Floyd, M. F. (2013). The urban growth machine, central place theory and access to open space. City, Culture and Society, 4(2), 87–98.
   Google Scholar
• Still, B. G., May, A. D., & Bristow, A. L. (1999). The assessment of transport impacts on land use: practical uses in strategic planning. Transport Policy, 6(2), 83–98.
   Google Scholar
• Sun, C., Wu, Z.-F., Lv, Z.-Q., Yao, N., & Wei, J.-B. (2013). Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 21, 409–417.
   Web of Science ®Google Scholar
• Thapa, R. B., & Murayama, Y. (2012). Scenario based urban growth allocation in Kathmandu Valley, Nepal. Landscape and Urban Planning, 105(1–2), 140–148.
   Web of Science ®Google Scholar
• Tian, G., & Qiao, Z. (2014). Modeling urban expansion policy scenarios using an agent-based approach for Guangzhou Metropolitan Region of China. Ecology and Society, 19(3)
   Web of Science ®Google Scholar
• Tolley, R., Lumsdon, L., & Bickerstaff, K. (2001). The future of walking in Europe: a Delphi project to identify expert opinion on future walking scenarios. Transport Policy, 8(4), 307–315.
   Google Scholar
• Vaz, E. N., Nijkamp, P., Painho, M., & Caetano, M. (2012). A multi-scenario forecast of urban change: A study on urban growth in the Algarve. Landscape and Urban Planning, 104(2), 201–211.
   Web of Science ®Google Scholar
• Vermeiren, K., Van Rompaey, A., Loopmans, M., Serwajja, E., & Mukwaya, P. (2012). Urban growth of Kampala, Uganda: Pattern analysis and scenario development. Landscape and Urban Planning, 106(2), 199–206.
   Web of Science ®Google Scholar
• Vidal, R., & López-Mesa, B. (2006). IMPACT INDICATORS IN TRANSPORT INFRASTRUCTURES: A NEW MARKET FOR ENGINEERING DESIGN RESEARCHERS. DS 36: Proceedings DESIGN 2006, the 9th International Design Conference, Dubrovnik, Croatia.
   Google Scholar
• Waddell, P. (2002). UrbanSim: Modeling urban development for land use, transportation, and environmental planning. American Planning Association. Journal of the American Planning Association, 68(3), 297–314.
   Web of Science ®Google Scholar
• Wang, Y., Monzon, A., Ciommo, F., & Kaplan, S. (2014). Integrated transport planning framework involving combined utility regret approach. Transportation Research Record: Journal of the Transportation Research Board, 2429(1), 59–66.
   Google Scholar
• Warner, S. B. (1987). The private city: Philadelphia in three periods of its growth. University of Pennsylvania Press.
   Google Scholar
• Wced, B. C. (1987). p. 43. Our common future. Oxford University Press Oxford, p. 43.
   Google Scholar
• van Wee, B. (2002). Land use and transport: research and policy challenges. Journal of Transport Geography, 10(4), 259–271.
   Google Scholar
• Wheeler, S. M., Tomuta, M., Haden, V. R., & Jackson, L. E. (2013). The impacts of alternative patterns of urbanization on greenhouse gas emissions in an agricultural county. Journal of Urbanism: International Research on Placemaking and Urban Sustainability, 6(3), 213–235.
   Google Scholar
• Wicklein, R. C. (1993). Identifying critical issues and problems in technology education using a modified-Delphi technique.
   Google Scholar
• Williams, B. A., & Matheny, A. R. (1998). Democracy, dialogue, and environmental disputes: The contested languages of social regulation. Yale University Press.
   Google Scholar
• Williams, P. L., & Webb, C. (1994). The Delphi technique: a methodological discussion. Journal of Advanced Nursing, 19(1), 180–186.
   PubMed Web of Science ®Google Scholar
• Yigitcanlar, T., & Dizdaroglu, D. (2015). Ecological approaches in planning for sustainable cities: A review of the literature. Global Journal of Environmental Science and Management, 1, 159–188.
   Google Scholar
• Yigitcanlar, T., Dodson, J., Gleeson, B., & Sipe, N. (2007). Travel Self-Containment in Master Planned Estates: Analysis of Recent Australian Trends. Urban Policy and Research, 25(1), 129–149.
   Google Scholar
• Yigitcanlar, T., Kamruzzaman, M., & Teriman, S. (2015). Neighborhood sustainability assessment: Evaluating residential development sustainability in a developing country context. Sustainability. Sustainability, 7(3), 2570–2602.
   Web of Science ®Google Scholar
• Yigitcanlar, T., & Teriman, S. (2015). Rethinking sustainable urban development: towards an integrated planning and development process. International Journal of Environmental Science and Technology, 12(1), 341–352.
   Web of Science ®Google Scholar
• Yousuf, M. I. (2007). Using experts’ opinions through Delphi technique. Practical Assessment, Research & Evaluation, 12, 1–8.
   Google Scholar
• Zhang, H., Jin, X., Wang, L., Zhou, Y., & Shu, B. (2015). Multi-agent based modeling of spatiotemporal dynamical urban growth in developing countries: simulating future scenarios of Lianyungang city, China. Stochastic Environmental Research and Risk Assessment, 29(1), 63–78.
   Web of Science ®Google Scholar
• Zhang, Q., Ban, Y., Liu, J., & Hu, Y. (2011). Simulation and analysis of urban growth scenarios for the Greater Shanghai Area, China. Computers, Environment and Urban Systems, 35(2), 126–139.
   Web of Science ®Google Scholar
• Zhao, P. (2010). Sustainable urban expansion and transportation in a growing megacity: Consequences of urban sprawl for mobility on the urban fringe of Beijing. Habitat International, 34(2), 236–243.
   Web of Science ®Google Scholar