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Articles

A Web-based geo-marketing decision support system for land selection: a case study of Tehran, Iran

, &
Pages 179-193 | Received 30 Jun 2018, Accepted 15 Jan 2019, Published online: 12 Feb 2019

Figures & data

Figure 1. GIS and MCDA capabilities for land transaction process in GDSS.

Figure 1. GIS and MCDA capabilities for land transaction process in GDSS.

Table 1. Random index for pairwise comparison matrices.

Figure 2. Location of the study area in Tehran province (A), the districts of Tehran (B) and district no. 22 of Tehran (C).

Figure 2. Location of the study area in Tehran province (A), the districts of Tehran (B) and district no. 22 of Tehran (C).

Figure 3. System architecture.

Figure 3. System architecture.

Figure 4. The logical data model for the GDSS.

Figure 4. The logical data model for the GDSS.

Figure 5. The main interface of the seller.

Figure 5. The main interface of the seller.

Figure 6. Topological validation rules for land seller system.

Figure 6. Topological validation rules for land seller system.

Table 2. The criteria for land purchase process.

Figure 7. The main interface of the buyer.

Figure 7. The main interface of the buyer.

Figure 8. The interface of the MCDA module for pairwise comparison and weighting.

Figure 8. The interface of the MCDA module for pairwise comparison and weighting.

Figure 9. The characteristics and sub-characteristics of the ISO/IEC 9126 quality model.

Figure 9. The characteristics and sub-characteristics of the ISO/IEC 9126 quality model.

Figure 10. Results of system evaluation based on the ISO/IEC 9126.

Figure 10. Results of system evaluation based on the ISO/IEC 9126.

Table 3. The comparison of traditional and GDSS approaches for land purchase decisions.