Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 512772
Title Calculating Distribution and Intensity of Agricultural Traffic for Sustainable Development
Author(s) Hospers, A.; Louwsma, M.A.; Lammeren, R.J.A. van; Kuiper, P.P.
Event FIG working week 2016, Christchurch, 2016-05-02/2016-05-06
Department(s) Laboratory of Geo-information Science and Remote Sensing
PE&RC
Publication type Contribution in proceedings
Publication year 2016
Abstract Land from many holdings is dispersed, which compels farmers to use public roads to access distant parcels. Agricultural traffic is different from other traffic with its large and heavy vehicles. When agricultural traffic mixes with other traffic, safety issues may arise. Another issue of agricultural traffic is its environmental impact. Dispersed land, also called internal land fragmentation, generates extra traffic compared to a situation where all land is located around the farmstead.
Despite the relevance of the topic, little research has been conducted on agricultural traffic in relation to a holdings’ land allocation. That is, how agricultural traffic is distributed over the road network and how intense traffic is. The aim of this research is to develop a GIS model that shows the spatial distribution and intensity of agricultural traffic for a specific area.
First, the route from homestead to distant parcels was determined for all holdings in the region. Then, the number of rides over each route was calculated. Finally, all rides over each road segment were summed up and mapped. Four factors that influence the number of rides (crop type, soil type, parcel size, and dump truck size) have been distinguished based on available literature. An initial run of the model produced a map with expected distribution and intensity of agricultural traffic for two different areas. The model was validated in two ways: by local experts and by traffic counting. For one area, a group of local farmers validated the results for that area. For the other area, the results were compared to available traffic measurements. Based on both validations, the model has been adapted.
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