Sunday, 3 July 2016

1) Introduction

Most contemporary cities are threatened by urban development, decreasing the environmental quality and fragmenting natural and agricultural landscapes (La Rosa et al., 2014). Non-urbanised areas are therefore decreasing. Urban agriculture provides many environmental, economic as well as social benefits. Agriculture can be considered as the pivot around which to make the new urban-rural relationships revolve (Diamantini, 2014). The integration between urban processes and natural processes through the promotion of urban agriculture can help to achieve more sustainable cities.

The study area is the district of Innsbruck in Austria. Innsbruck is located in the region of Tyrol in the Alps, and the total district covers an area of 2094,17 km². It is composed of two distinct administrative entities: Innsbruck, consisting of the city-center and covering an area 104,8 km², and Innsbruck-Land, which has an area of 1989,4 km² and is composed of 65 municipalities. Even if Alpine environments aren't very favourable to high population concentrations, Innsbruck in Austria is sometimes popularly qualified as the capital of the Alps. It is one of the biggest cities in the Alps, with 126 965 inhabitants in 2015 (for the center), which is equal 478 % of the 1869-population (Amt der Tiroler Landesregierung Landesstatistik (1), 2015). In the surrounding region (Innsbruck-Land), there are 172 041 additional inhabitants (Amt der Tiroler Landesregierung Landesstatistik (2), 2015)

Over the last decades, the regions of the Alps also encountered a multiplication of conflicts over land use, in particular between building development and the continuation of farming practices (Diamantini, 2014). Therefore, Innsbruck is also a place where urban agriculture can make a significant contribution to defining the landscape of the alpine valley floors, together with the high mountains and extensive forested areas. In this context, agriculture can be accompanied by tourism activities in the form of farm holidays or simply the sale of specialised products.

Geographers thus have to role to define the best suited areas to a land use change towards new forms of urban agriculture. To do so, a GIS-based multi-criteria suitability model will be created to identify the best areas where these new implementations could be done. The model was inspired by the work of La Rosa et al. in 2014 on the city of Catania in Sicily. The study identified 3 categories of urban agriculture: urban farms, allotment gardens and agricultural parks. Only the possible implementation of the two first categories, which are the smallest and the most related to the definition of "urban agriculture", will be done in this analysis.

2) Data

The land use data in the city of Innsbruck and its surroundings were obtained from the Urban Atlas of the European Environment Agency. The agency provides comparable and high-resolution land use maps for 305 large urban zones of more than 100.000 inhabitants. A simplified land use map was created to better visualise the principal types of land use (figure 1).

 Figure 1: Land use map for the district of Innsbruck

Thanks to a comparison with a digital elevation model (obtained from the office "Amt der Tiroler Landesregiering Landesstatistik", 2013), we observe that the land use pattern follows the topography of the region (figure 2). Indeed, urban fabrics are located in the valley, then around we observe agricultural lands, semi-natural sites or wetlands. When the elevation increases, forests are becoming dominant. We can suppose that at a higher altitude (over 2000 meters), due to the environmental conditions, the land use represented in yellow is not agricultural lands dedicated to food production anymore.

 Figure 2: Elevation map for the district of Innsbruck

3) Methodology

Methodology: phase 1 (NUAs selection)


Phase 1 of the methodology consists in determining which non-urban areas (NUAs) are best suited to new forms of urban agriculture (NFUAs), according to several criteria. Land uses classified as lands without current use (LWCU) and forests could potentially be transformed into new forms of urban agriculture. The land uses in question have thus been selected and extracted out of the complete land use layer. The map below represents those two types of land uses in the district of Innsbruck. Note that the layer of the forests has been split in 4 parts to reduce the size of the file in order to be supported by Google Maps.




In total, there are 147 patches of lands without current use (LWCU) and 1357 patches of forests. Forests are abundant in Innsbruck, they represent in total an area of 716,85 km², while the lands without current use patches are less numerous and much smaller, representing a total area of only 1,04 km². Lands without current use are mostly located around urbanised areas.

In addition, forests patches must have an area of less than 0,15 km², as clearing too big surface areas would remove the advantages of evapotranspiration and biodiversity provided by the forest. These advantages are greater than the expected benefits brought by the future agricultural lands. Lands without current use must be within a distance of less than 1 km to urban areas, to be easily reachable by the population who will make use of the new agricultural land. 

Relating to the urban areas, one additional criterion has been defined. If not enough people live near the new agricultural infrastructures, they won't be useful and successful, since it is the role of the inhabitants to maintain the NFUAs. Moreover, as only a part of inhabitants would be interested in purchasing products, enough inhabitants are needed to make the NFUA economically viable or even profitable. For these reasons, not all urban plots have been kept, some isolated residential areas have been removed from the category "urban". 

To select the urban areas that are too isolated and in which the population is too sparse, a buffer of 500 meters around all urban areas (continuous and discontinuous urban fabrics) has been created to obtain groups of properties. This threshold of 500 meters was chosen in relation to another criterion that will be applied in the second phase of the methodology (future urban farms will have to be within 500 meters of urban areas) and it seemed to be a reasonable walking distance between the houses and the NFUAs.

The Urban Atlas classifies the urban land use in continuous urban fabric (S.L.: > 80%), discontinuous dense urban fabric (S.L. : 50% - 80%), discontinuous medium density urban fabric (S.L. : 30% - 50%), discontinuous low density urban fabric (S.L. : 10% - 30%) and discontinuous very low density urban fabric (S.L. < 10%). Continuous urban fabrics are constituted predominantly by residential use and are areas with a high degree of soil sealing. The different discontinuous types are characterised by a larger fraction of non-sealed and/or vegetated surfaces: gardens, parks, planted areas and non-surfaced public areas (European Environment Agency, 2011). We can thus assume that the discontinuous urban areas will accommodate less inhabitants than continuous urban areas.

An index has then been created to better approximate the population inside the urban groups. It's the product of the area (in square meters) of the urban plots inside each urban group times the soil sealing degree in these urban plots. For this weighting parameter, the average of the soil sealing degree has been considered (0,9 for the continuous urban fabric, 0,65 for the second category, 0,4 for the third, 0,2 for the fourth and 0,05 for the last category). The sum of the areas of urban plots multiplied by the weighting parameter in each urban group has been calculated. Finally, an arbitrary selection of only the urban groups containing at least 0,5 km² of total urban area (the newly created index) has been done. As a result, 3474 urban plots are remaining out of 3934 originally. We could observe that the number of plots inside the groups was equal to 99 urban entities minimum and 2528 entities maximum . Figure 3 represents these selected urban areas (in red), compared to the total urban fabric present in Innsbruck (in blue). In Model Builder, this layer corresponds to "urban_final.shp".

The buffer of 1 km inside which the lands without current use (LWCU) must fall was performed around this selection of urban plots.

Figure 3: Urban areas considered in the analysis
The two layers fulfilling the criteria have finally been merged together, to obtain one single suitability layer, in which the different land uses are distinguishable. This result will be displayed in the section 4 of the project. Finally, this polygon layer has been converted into a raster layer for the second part of the methodology.


Figure 4: First phase of the methodology - Model Builder (to be read from the top to the bottom)

Methodology: phase 2 (NFUAs selection)


Now we have to determine which new form of urban agriculture (NFUA) is best suited to each NUA. As mentioned in the introduction, we consider two possible types of NFUA: allotment gardens (AG) and urban farms (UF). 

The region group tool was used to form patches of NUAs in a raster format, based on the contiguity between cells of the same land use (lands without current use or forests). The contiguity based on four cells has been used, knowing that the pixel size is equal to 5m x 5m, an eight cells contiguity would have assembled several very close patches together. Even with this method, the rasterisation can create small distortions. This 5x5 pixel size has been chosen to have a sufficient degree of precision, without making the raster file too large, which would slow down the geoprocessing.

After that, we need to select only the patches that fulfil the criteria of allotment gardens or urban farms. AG can only have a maximal area of 5 000 m² and need to be within 250 m reach of urban areas. Allotment gardens need a very good accessibility because they are mainly provided for leisure and integration of older people and socially deprived groups, who can't travel long distances (La Rosa et al. 2014). Gardening is the principal activity in allotment gardens. The areas judged too small for being an allotment garden (areas under 50 m² according to Rubino (2007)), have been removed, resulting in the deletion of 23 plots of NUA). UF are bigger than allotment gardens, they need to have an area between 5 001 and 20 000 m², and be within a maximal distance of 500 m to urban areas. They are devoted to multi-functional agriculture. The production of fresh products near urban areas contributes to urban employment and the reduction of inequalities, to landscape conservation and socio-educational functions, to the city's waste recycling, and so on. The definition of "urban areas" is the same as in the first step of the methodology. We considered the plots of NUA completely within the defined distances to urban areas, not those partially inside, because forest patches can often be narrow and long, so a distance of 700-800 supplementary meters can be necessary to reach the opposite end of the land parcel. As a result, we obtain the plots of each NUA eligible to be converted to each type of NFUA. The result is presented in section 6 of this blog.

Methodology: phase 3 (sensitivity analysis)


A sensitivity analysis has been done in order to see the impact that input factors have on the results. 2 additional scenarios have been tested and compared together, and with the initial scenario, which consists in promoting a diversity in the urban agriculture.

The first scenario accepts only the creation of NFUAs at a shorter pedestrian distance from urban areas, because the population density is not high in the district of Innsbruck (equal to 1 211 hab./km² in the city centre and 86 hab./km² in Innsbruck-Land, i.e. the region surrounding the city). The Euclidean distance buffer has thus been reclassified to a maximum of 125 meters for allotment gardens and 250 meters of urban farms, the original maximum distances have been divided by two. All other conditions remain the same as the initial scenario (scenario 0).


In the original scenario, many forest patches selected in the first phase weren't considered for transformation into NFUAs because they were too big compared to the maximum size of 20 000 m² for urban farms. That's why in the second scenario, bigger urban farms are allowed. We rise the threshold to 50 000 m², to implement larger and more productive farmland areas where for example organic farming could be implemented. The urban distance criteria are kept unchanged with respect to scenario 0.

4) Non-urban areas suitability map




This map is the result of the first phase of the methodology, the selection of NUAs. The lands without current use (LWCU) are in brown and the forests in green. We count 136 patches of LWCU constituting altogether 0,98 km² and 1008 patches of forests, of a total area of 40,75 km². In all, there are 41,73 km² of non-urban areas potentially convertible into new forms of urban agriculture.

5) Result matrices - Transformation of NUAs into NFUAs

The matrices of results in figure 5 show for each scenario, all possible combinations of transformation from a land use to a NFUA. More precisely, the area in km² of NUAs that can be converted to each of the NFUAs, as well as the total area that can be converted to a NFUA from each category, is listed. In addition, the same results are expressed in the number of converted patches of each kind of NUA to each type of NFUA. The proportion of patches has also been calculated.




Figure 5: Output matrices - Sensitivity analysis according to the 3 scenarios



In the initial scenario, the number of LWCU and forests converted into any kind of NFUA is very similar, with a slight advantage in favour of the forests (48 and 52% of the total number). However, the total area that can be converted to any type of NFUAs is about twice as big for the forests than for the LWCU (1,535 km² for the forests against 0,814 km² for the LWCU). Concerning the types of NFUAs, there a more possible urban farms than allotment gardens (25% of the total number of NFUAs are allotments gardens with a total area of 0,254 km² and 75% are urban farms with a total area of 2,096 km²). The average size of allotment gardens is equal to 3734,77 m² (they had to be smaller than 5 000 m²) and the average size of forests is equal to 10 640,5 m² (their size had to be between 5 001 and 20 000 m²). In total, there are 265 possible NFUAs for a total area of 2,35 km².

In the first scenario, the maximum distance to urban areas was divided by two, for both categories of NFUAs. As a result, the number and area of NFUAs decreased for each type, but the sharper decrease is observed in the number of resulting urban farms. Only 143 urban farms are remaining, for 197 farms in the initial scenario, it's a reduction of 27%. We observe a reduction of 10% in the allotment gardens number (from 68 AG to 61). We observe this difference in the reduction magnitude also by looking at the areas. For allotment gardens, the areas reduced from 0,254 to 0,224 km², which is a reduction of 11,8%. For urban farms, the area decreased from 2,096 to 1,421 km², which is a reduction of 32,2%. The reduction in size is even bigger than the reduction in the number of patches, especially for urban farms. The trend is reversed for the number of LWCU and forests converted into any kind of NFUA. The number of LWCU represents now a larger proportion of NUAs transformed into NFUAs than forests, with more or less 60%, while they represented 48% before. This is due to the fact that LWCU are in general very close to urban areas, while it is not necessarily true for forests. In total, we move from 265 NFUAs (total area of 2,35 km²) in the initial scenario to 204 NFUAs (total area of 1,645 km²) in this first scenario.

For the second scenario, the number and area of allotment gardens remains unchanged, because the criteria were the same as in scenario 0. The number of urban farms considerably increased, from 197 to 280. The total area of urban farms more than doubled, from 2,096 km² to 4,594 km². This area increase is mainly due to the forests transformed into urban farms rather than explained by LWCU transformed into urban farms, as the maximum area of LWCU was only equal to 34 557,64 m². Both the proportion of urban farms compared to allotment gardens and the proportion of converted forests compared to converted LWCU have grown.

6) Result maps - New Forms of Urban Agriculture (NFUAs)

In the result map for the scenario 0 below, the allotment gardens are displayed in coral (pink) and the urban farms in blue. With the initial inputs, there are 265 areas suitable for the implementation of new forms of urban agriculture.



In the result map for the first scenario below (maximal distances of NFUAs to urban areas by half decreased), we observe that several patches present in scenario 0 disappeared. We can especially notice it on the fringes of NFUAs groups, as they are too far from urban areas.



The second scenario allowed bigger urban farms, up to 50 000 m². We can see in the result map below that bigger patches have been added.

Saturday, 25 June 2016

7) Conclusion

This multi-criteria decision analysis provides a technical selection of the best suited areas for the creation of new forms of urban agriculture in the district of Innsbruck. This region has a big potential to implement urban agriculture, at least 204 areas are suitable if we consider the most restrictive scenario (scenario 1). Now, it's up to the public administrations to decide how many sites of urban agriculture they want to implement and to which areas they give priority, according to their objectives. The zones that have the bigger population density might be favoured in a first phase, to have sufficient inhabitants' catchment areas.  A field study is necessary to experience the real life conditions, for example the amount of sunshine, the soil nature, the immediate environment, the slopes, etc.

Some criteria could be added to specify a bit more this rather simple model. For example, the Euclidean distance method to urban areas may not correspond to the "true" accessibility, especially in mountainous environments. The distance as the crow flies doesn't take into account the natural barriers like the slope, the rivers, etc. The road distance would be a more accurate definition of the distance.


References


Amt der Tiroler Landesregierung Landesstatistik (1) (2015), Regionsprofil Innsbruck-Stadt. Retrieved from https://www.tirol.gv.at/fileadmin/themen/statistik-budget/statistik/downloads/Regionsprofile/Stat_profile/bezirke/Innsbruck_Stadt.pdf, 23 July 2016.

Amt der Tiroler Landesregierung Landesstatistik (2) (2015), Regionsprofil Innsbruck-Land. Retrieved from https://www.tirol.gv.at/fileadmin/themen/statistik-budget/statistik/downloads/Regionsprofile/Stat_profile/bezirke/Innsbruck_Land.pdf, 23 July 2016.

Diamantini, C. (2014). What kind of an urban future is there for the Alps?. WIT Transactions on Ecology and The Environment, Vol 191, p.39-50

European Environment Agency (2011). Mapping Guide for a European Urban Atlas, retrieved from https://cws-download.eea.europa.eu/local/ua2006/Urban_Atlas_2006_mapping_guide_v2_final.pdf, 23 July 2016.

La Rosa, D., Barbarossa, L., Privitera, R., Martinico, F. (2014). 
Agriculture and the city: A method for sustainable planning of new forms of agriculture in urban contexts. Land Use Policy, Vol. 41, p. 290-303.

Offene Daten Österreich (2015). Generalisierte Gemeindegrenzen von Österreich, Retrieved from https://www.data.gv.at/katalog/dataset/gemgrenze/resource/15f138f0-9a91-482e-80cb-adedf4d5a399, 23 July 2016.

Rubino, A. (2007): The allotment gardens of the Ile de France: a tool for social development. Journal of Mediterranean Ecology, Vol. 8, p. 67-75.