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A unifying modelling framework to simulate the Spatial Economic Transport Interaction process at urban and national scales

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  • Russo, Francesco
  • Musolino, Giuseppe

Abstract

Much effort has been expended in the last decades in developing modelling frameworks to simulate the so-called Spatial Economic Transport Interaction (SETI) process. Models have been originated according to autonomous bodies of knowledge connected to the analysis and interpretation of each reference spatial scale: urban and national. However, there have been few exchanges of knowledge flowing from one scale to another.

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  • Russo, Francesco & Musolino, Giuseppe, 2012. "A unifying modelling framework to simulate the Spatial Economic Transport Interaction process at urban and national scales," Journal of Transport Geography, Elsevier, vol. 24(C), pages 189-197.
    • Handle: RePEc:eee:jotrge:v:24:y:2012:i:c:p:189-197
    DOI: 10.1016/j.jtrangeo.2012.02.003
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    Cited by:

    1. Curl, Angela & Davison, Lisa, 2014. "Transport Geography: perspectives upon entering an accomplished research sub-discipline," Journal of Transport Geography, Elsevier, vol. 38(C), pages 100-105.
    2. Antonello Ignazio Croce & Giuseppe Musolino & Corrado Rindone & Antonino Vitetta, 2020. "Route and Path Choices of Freight Vehicles: A Case Study with Floating Car Data," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    3. Chris Bachmann, 2019. "Calibrating and Applying Random-Utility-Based Multiregional Input–Output Models for Real-World Applications," Networks and Spatial Economics, Springer, vol. 19(1), pages 219-242, March.
    4. Raimbault, Juste & Le Néchet, Florent, 2021. "Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    5. Hensher, David A. & Teye, Collins, 2019. "Commodity interaction in freight movement models for New South Wales," Journal of Transport Geography, Elsevier, vol. 80(C).
    6. Zhiguo Shao & Li Zhang & Chuanfeng Han & Lingpeng Meng, 2022. "Measurement and Prediction of Urban Land Traffic Accessibility and Economic Contact Based on GIS: A Case Study of Land Transportation in Shandong Province, China," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    7. Chengliang Liu & Tao Wang & Qingbin Guo, 2018. "Factors Aggregating Ability and the Regional Differences among China’s Urban Agglomerations," Sustainability, MDPI, vol. 10(11), pages 1-20, November.

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