Forecasting spatially dependent origin and destination commodity flows
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DOI: 10.1007/s00181-013-0786-2
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- Dapeng Zhang, 2024. "Examining the Effects of Confirmed COVID-19 Cases and State Government Policies on Passenger Air Traffic Recovery by Proposing an OD Spatial Temporal Model," Networks and Spatial Economics, Springer, vol. 24(2), pages 341-359, June.
- Carlos Llano & Santiago Pérez-Balsalobre & Julian Pérez-García, 2018. "Greenhouse Gas Emissions from Intra-National Freight Transport: Measurement and Scenarios for Greater Sustainability in Spain," Sustainability, MDPI, vol. 10(7), pages 1-33, July.
- Yin, Zhonghua & Wang, Fang & Gan, Jianbang, 2020. "Spatial spillover effects of global forest product trade," Forest Policy and Economics, Elsevier, vol. 113(C).
- Ni, Linglin & Wang, Xiaokun (Cara) & Zhang, Dapeng, 2016. "Impacts of information technology and urbanization on less-than-truckload freight flows in China: An analysis considering spatial effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 12-25.
- James P. LeSage & Christine Thomas-Agnan, 2015. "Interpreting Spatial Econometric Origin-Destination Flow Models," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 188-208, March.
- Boubacar, Inoussa, 2024. "US imports of softwood lumber: Assessing the significance of spillover effects," Forest Policy and Economics, Elsevier, vol. 160(C).
- Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2018. "Predicting travel flows with spatially explicit aggregate models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 68-88.
- Moura, Ticiana Grecco Zanon & Chen, Zhangliang & Garcia-Alonso, Lorena, 2019. "Spatial interaction effects on inland distribution of maritime flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 1-10.
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More about this item
Keywords
Gravity models; Bayesian spatial autoregressive regression model; Spatial connectivity of origin–destination flows; C11; C23; O47; O52;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
- O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
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