|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|4924634||1431030||2017||13 صفحه PDF||سفارش دهید||دانلود کنید|
- A network centrality-based trip attraction estimation method is proposed.
- The accuracy of the model is more than 75%.
- Space syntax and spatial analysis tools are used.
- Land use data is not required to estimate trip attraction in the proposed model.
- Effective tool for developing countries.
This paper introduced a network centrality-based method to estimate the volume of trip attraction in traffic analysis zones. Usually trip attraction volumes are estimated based on land use characteristics. However, executing of land use-based trip attraction models are severely constrained by the lack of updated land use data in developing countries. The proposed method used network centrality-based explanatory variables as “connectivity”, “local integration” and “global integration”. Space syntax tools were used to compute the centrality of road segments. GIS-based kernel density estimation method was used to transform computed road segment-based centrality values into traffic analysis zone. Trip attraction values exhibited significant high correlation with connectivity, global and local integration values. The study developed and validated model to estimate trip attraction by using connectivity, local integration and global integration values as endogenous variables with an accepted level of accuracy (R2Â >Â 0.75). The proposed approach required minimal data, and it was easily executed using a geographic information system. The study recommended the proposed method as a practical tool for transport planners and engineers, especially who work in developing countries and where updated land use data is unavailable.
Journal: Journal of Traffic and Transportation Engineering (English Edition) - Volume 4, Issue 5, October 2017, Pages 464-476