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Predicting road system speeds using spatial structure variables and network characteristics

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  • Jeremy Hackney
  • Michael Bernard
  • Sumit Bindra
  • Kay Axhausen

Abstract

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Suggested Citation

  • Jeremy Hackney & Michael Bernard & Sumit Bindra & Kay Axhausen, 2007. "Predicting road system speeds using spatial structure variables and network characteristics," Journal of Geographical Systems, Springer, vol. 9(4), pages 397-417, December.
    • Handle: RePEc:kap:jgeosy:v:9:y:2007:i:4:p:397-417
    DOI: 10.1007/s10109-007-0050-4
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    References listed on IDEAS

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    1. repec:cor:louvrp:-2168 is not listed on IDEAS
    2. Antonio Paez & Darren Scott & Dimitris Potoglou & Pavlos Kanaroglou & K. Bruce Newbold, 2007. "Elderly Mobility: Demographic and Spatial Analysis of Trip Making in the Hamilton CMA, Canada," Urban Studies, Urban Studies Journal Limited, vol. 44(1), pages 123-146, January.
    3. Bolduc, Denis & Laferriere, Richard & Santarossa, Gino, 1992. "Spatial autoregressive error components in travel flow models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 371-385, September.
    4. Bolduc, Denis & Dagenais, Marcel G. & Gaudry, Marc J. I., 1989. "Spatially autocorrelated errors in origin-destination models: A new specification applied to aggregate mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 23(5), pages 361-372, October.
    5. PEETERS, Dominique & THOMAS, Isabelle, 2009. "Network autocorrelation," LIDAM Reprints CORE 2168, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Bhat, Chandra & Zhao, Huimin, 2002. "The spatial analysis of activity stop generation," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 557-575, July.
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    Citations

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    Cited by:

    1. Meysam Effati & Jean-Claude Thill & Shahin Shabani, 2015. "Geospatial and machine learning techniques for wicked social science problems: analysis of crash severity on a regional highway corridor," Journal of Geographical Systems, Springer, vol. 17(2), pages 107-135, April.
    2. Tao Cheng & James Haworth & Jiaqiu Wang, 2012. "Spatio-temporal autocorrelation of road network data," Journal of Geographical Systems, Springer, vol. 14(4), pages 389-413, October.
    3. Peer, Stefanie & Knockaert, Jasper & Koster, Paul & Tseng, Yin-Yen & Verhoef, Erik T., 2013. "Door-to-door travel times in RP departure time choice models: An approximation method using GPS data," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 134-150.
    4. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    5. Przemysław Śleszyński, 2015. "Expected traffic speed in Poland using Corine land cover, SRTM-3 and detailed population places data," Journal of Maps, Taylor & Francis Journals, vol. 11(2), pages 245-254, March.
    6. Francesco De Fabiis & Alessandro Carmelo Mancuso & Fulvio Silvestri & Pierluigi Coppola, 2023. "Spatial Economic Impacts of the TEN-T Network Extension in the Adriatic and Ionian Region," Sustainability, MDPI, vol. 15(6), pages 1-15, March.

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    More about this item

    Keywords

    Road speed model; Spatial regression; Spatial structure variables; Network; Transportation planning; R41; C51; C52; C53; C21;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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