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Land use planning has been mainly implemented based on land capabilities but rarely on land limitations such as air pollution. This study aims to simulate the optimal land use structure by incorporating the air quality into the land use planning process using MCE and MOLA in an industrialized area in Isfahan province, central Iran. To do so, we developed two scenarios as 'with-' and 'without-' considering the air pollution criterion. The optimal land use planning was applied for agricultural, urban, and industrial land uses. PM10 and NOX seasonal (winter) dispersion maps were used as the air pollution criterion which was simulated by AERMOD. We applied the Best Worst Method (BWM) to standardize and weight the physical, ecological, and socio-economic criteria. Accordingly, we used an Ordered Weighted Average (OWA) technique to combine the factors. Assuming 1% (1100 ha) of the land area available for future allocation to each land use, we compared the outcomes of both scenarios revealed a significant difference between the coverage of capable areas. The results of the "with" scenario indicated that approximately 11, 17, and 54% of the area that were, in fact, incapable for agricultural, industrial, and urban developments, respectively. These areas are detected as capable if we leave the air pollution criterion out. The findings demonstrated that to achieve sustainable development, it is necessary to consider dynamic physical land components including air pollution along with ecological, physical, and socio-economic factors. [ABSTRACT FROM AUTHOR]

Today's situation in cities requires that planned parks be set up to create ecological equilibrium. The current study was aimed to identify suitable zones for establishing ecoparks in the central region of Isfahan province; this was done using seven effective criteria including topography, landscape, climate, rock and soil, water resources, environmental sensitivity, and accessibility. The weights of the criteria and the subcriteria were obtained using the analytic hierarchy process (AHP) with expert opinions. All layers were combined using weighted linear combination (WLC) and the land suitability maps for ecoparks were produced. After evaluating and prioritizing suitable zones, finally, the zone with an area of 85.2 hectares, which was located in the Bag Bahadoran district and adjacent to the Zayanderood River, was selected as the most suitable one due to its larger area, more access to the welfare facilities, and higher ecological potentials. Also, the results obtained from overlaying the ecopark's land suitability map and the map of existing parks in the region suggested that Sararud coastal park, in Mobarakeh, and the coastal park, in Zarrin Shahr, can be suitable places for establishing ecopark in the region. [ABSTRACT FROM AUTHOR]

Abstract: This paper presents a generic model for using different decision strategies in multi-criteria, personalized route planning. Some researchers have considered user preferences in navigation systems. However, these prior studies typically employed a high tradeoff decision strategy, which used a weighted linear aggregation rule, and neglected other decision strategies. The proposed model integrates a pairwise comparison method and quantifier-guided ordered weighted averaging (OWA) aggregation operators to form a personalized route planning method that incorporates different decision strategies. The model can be used to calculate the impedance of each link regarding user preferences in terms of the route criteria, criteria importance and the selected decision strategy. Regarding the decision strategy, the calculated impedance lies between aggregations that use a logical “and” (which requires all the criteria to be satisfied) and a logical “or” (which requires at least one criterion to be satisfied). The calculated impedance also includes taking the average of the criteria scores. The model results in multiple alternative routes, which apply different decision strategies and provide users with the flexibility to select one of them en-route based on the real world situation. The model also defines the robust personalized route under different decision strategies. The influence of different decision strategies on the results are investigated in an illustrative example. This model is implemented in a web-based geographical information system (GIS) for Isfahan in Iran and verified in a tourist routing scenario. The results demonstrated, in real world situations, the validity of the route planning carried out in the model. [Copyright &y& Elsevier]