Land use changes affect travel demand, resulting in the need to expand transportation infrastructure. Unfortunately, an inevitable consequence of urban sprawl, the spreading of a city to suburbs and outskirts, is the creation of auto-dependent development. Land use models forecast without considering underutilized roadways leading to urban sprawl. Any change in travel cost or detrimental growth pattern does not have any significant influence on future land use or location choice of future household and employment. This study addresses urban sprawl and available capacity utilization and combines those features with land use change model for planning more compact cities. This research conducted a rigorous step by step analysis to determine a better solution that results in more trips inside a case study community. Based on minimizing vehicle mileage traveled (VMT) and the number of congested links, a preferred scenario was identified that is one of the major contributions of this exploration. Hence, it is a preliminary initiative to promote transportation sustainability and build compact cities using current resources instead of the planning of future road network solely depending on the land use forecast model.
KeywordsSustainabilityLand-Use Change ModelUrban Sprawl IndicesTraffic Analysis ZonePlanning ScenariosCompact City
Abrahamsson, T. (1998). Estimation of Origin-Destination Matrices Using Traffic Counts—A Literature Survey (32 p). Laxenburg, Austria: International Institute for Applied Systems Analysis.
Almasri, E., & Al-Jazzar, M. (2013). TransCAD and GIS Technique for Estimating Traffic Demand and Its Application in Gaza City. Open Journal of Civil Engineering, 3, 242-250. https://doi.org/10.4236/ojce.2013.34029
Beimborn, E. A. (1995). A Transportation Modeling Primer. Wisconsin-Milwaukee: Center for Urban Transportation Studies.
Brueckner, J. K. (2000). Urban Sprawl: Diagnosis and Remedies. International Regional Science Review, 23, 160-171. https://doi.org/10.1177/016001700761012710
Clay, M., Inc., W. W. W. G., & Holley, P. (2011). Data Development for Implementing an Integrated Land Use and Transportation Forecasting Model in a Medium-Sized MPO. Transportation Research Board.
Corporation, C. (2002). OD Matrix Estimation. In: TransCAD-Transportation Planning Software.
Cortright, J. (2011). CEOs for Cities. https://visual.ly/community/infographic/transportation/sprawl-crawl
Duduta, N., Shirgaokar, M., Deakin, E., & Zhang, X. L. (2010). An Integrated Approach to Sustainable Transportation, Land Use and Building Design; the Case of the Luokou District, Jinan, China. Transportation Research Board.
Ettema, D., Arentze, T., & Timmermans, H. (2009). Modelling the Influence of Temporal and Monetary Constraints on Activity Participation, Travel, Consumption of Goods, Residential Location and Work Status: Application in a Land Use Transport Interaction (LUTI) Model. Transportation Research Board.
Ewing, R. (1997). Is Los Angeles-Style Sprawl Desirable? Journal of the American Planning Association, 63, 107-126. https://doi.org/10.1080/01944369708975728
Ewing, R., & Hamidi, S. (2014). Measuring Urban Sprawl and Validating Sprawl Measures. Metropolitan Research Center.
Gao, S. et al. (2010). Developing California Integrated Land Use/Transportation Model. Transportation Research Board.
Gordon, P., & Richardson, H. W. (1997). Are Compact Cities a Desirable Planning Goal? Journal of the American Planning Association, 63, 95-106. https://doi.org/10.1080/01944369708975727
Iacono, M., & Levinson, D. (2009). Predicting Land Use Change: How Much Does Transportation Matter? Transportation Research Board.
Iyer, S. (2010). Estimating Traffic Impacts of an Off-Hour Delivery Program Using a Regional Planning Model. New Brunswick, New Jersey: Rutgers, The State University of New Jersey.
Jessup, J. (2014). Sprawl and Transportation Outcomes in Chicago: A Sprawl Index for Municipal Subsections. Transportation Research Board.
Khan, T. (2016). Promoting Transportation Sustainability by Suggesting/Limiting Changes in Future Land Use through Utilizing Available Roadway Capacity, Huntsville.
Multi-Resolution Land Characteristics (MRLC) Consortium (n.d.). National Land Cover Database. https://www.mrlc.gov/data
National Cancer Institute (n.d.). Updated Urban Sprawl Data for the United States. https://gis.cancer.gov/tools/urban-sprawl/
Nielsen, O. A. (1998). Chapter 13 Two New Methods for Estimating Trip Matrices. In Travel Behaviour Research: Updating the State of Play (pp. 221-250). Amsterdam: Elsevier Science Ltd.
Pendyala, R. M. et al. (2012). An Integrated Land Use—Transport Model System with Dynamic Time-Dependent Activity-Travel Microsimulation. Transportation Research Board.
Rivera, N. I. P. (2009). Adopting the Spatial Decision Support System Xplorah as an Opportunity for Integrating Transportation and Land Use Planning: Lessons Learned. Transportation Research Board.
Rodier, C., Abraham, J. E., Dix, B. N., & Hunt, J. D. (2010). Equity Analysis of Land Use and Transportation Plans Using an Integrated Spatial Model. Transportation Research Board.
Sidharthan, R., & Bhat, C. R. (2012). Incorporating Spatial Dynamics and Temporal Dependency in Land Use Change Models. Transportation Research Board.
Southworth, F. (1995). A Technical Review of Urban Land Use—Transportation Models as Tools for Evaluating Vehicle Travel Reduction Strategies. Oak Ridge, TN: Center for Transportation Analysis Energy Division.
United States Census Bureau (2010). Tiger/Line Shapefiles. https://www.census.gov/cgi-bin/geo/shapefiles/index.php
Zhang, L. (2010). Does Freeway Traffic Management Strategies Exacerbate Urban Sprawl: The Case of Ramp Metering. Transportation Research Board.
Zhao, L., & Peng, Z. R. (2010). An Integrated Bi-Level Model to Explore the Interaction between Land Use Allocation and Transportation. Transportation Research Board.
Zhao, L., Yang, F., & Peng, Z. R. (2012). Integrated Simulation Platform for Transportation and Land Use: A Case Study of LandSys-FSUTMS in Orange County, FL. Transportation Research Board.
Zhou, B., & Kockelman, K. M. (2009). Lessons Learned in Developing and Applying Land Use Model Systems: A Parcel-Based Example. Transportation Research Board.
Zhou, B., Kockelman, K. M., & Lemp, J. D. (2009). Transportation and Land Use Policy Analysis Using Integrated Transport and Gravity-Based Land Use Models. Transportation Research Board.