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International Conference on Computers in Urban Planning and Urban Management

CUPUM 2019: Computational Urban Planning and Management for Smart Cities pp 205–221Cite as

A Simulation Platform for Transportation, Land Use and Mobile Source Emissions

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Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

This study describes an integrated platform model for assessing the interaction among land use, transportation, and mobile source emissions . In the proposed integrated framework , LandSys, a home grown land use model, produces land use change over the dimensions of space and time , allocates land use forecast results in terms of household and employment at the traffic analysis zone (TAZ) level, and feeds these socioeconomic data into a travel demand model , the Florida Standard Urban Transportation Model Structure (FSUTMS). Then, the produced travel time and accessibility index by FSUTMS are fed back into LandSys to quantify the emissions. Finally, the emissions from standalone FSUTMS and integrated framework are compared to quantify the air quality benefits of the land use development from the integrated land use and transportation model. In the case application of Orange County, Florida in the United States in 2000, 2012 and 2025, five major indicators of transportation networks were used: link saturation in the transportation network , overall vehicle miles traveled (VMT), vehicle hours traveled (VHT) , mobile source greenhouse gas emissions and fuel consumption. The results show that the values of the five indicators were lower when utilizing the integrated platform than was predicted by the standalone FSUTMS models, which demonstrates that the integrated platform achieved greater effectiveness in environmental improvements by considering the interactions between land use and transportation.

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Acknowledgements

This research was supported by the National Natural Social Science Foundation of China (Grant Number: 18BGL270).

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Authors and Affiliations

  1. School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, China

    Liyuan Zhao

  2. Department of Urban and Regional Planning College of Design, Construction and Planning, University of Florida, Gainesville, USA

    Zhong-Ren Peng

  3. State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Center for ITS and UAV Applications Research, Shanghai Jiao Tong University, Shanghai, China

    Zhong-Ren Peng

Authors
  1. Liyuan Zhao
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  2. Zhong-Ren Peng
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Corresponding author

Correspondence to Liyuan Zhao .

Editor information

Editors and Affiliations

  1. Human Geography and Planning, Utrecht University, Utrecht, The Netherlands

    Stan Geertman

  2. School of Urban Design, Wuhan University, Wuhan, China

    Qingming Zhan

  3. School of Art, Architecture and Design, University of South Australia, Adelaide, SA, Australia

    Andrew Allan

  4. Faculty of the Built Environment, University of New South Wales, Sydney, NSW, Australia

    Christopher Pettit

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Zhao, L., Peng, ZR. (2019). A Simulation Platform for Transportation, Land Use and Mobile Source Emissions. In: Geertman, S., Zhan, Q., Allan, A., Pettit, C. (eds) Computational Urban Planning and Management for Smart Cities. CUPUM 2019. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-030-19424-6_12

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