The comprehensive urban planning model has been used in Iran for 50 years. It was developed in Europe and North America and has been subject to much criticism and subsequently replaced by new more efficient models such as strategic planning. However, in Third World countries generally, and in Iran in particular, it has remained the hegemonic discourse in urban development. This article assesses comprehensive urban planning in Iranian cities from both theoretical and practical viewpoints. The study concludes that the Comprehensive Planning paradigm has failed to resolve urban development dilemmas in Iranian cities and emphasizes the need for strategic planning.

This research investigates the reasons of changing the agricultural land use to tourism in a developing country with different political, economic and social context (Iran). The method used in this research is qualitative, and unstructured interviews have been used to collect data. The target population of the research includes farmers who have sold their farmlands to investors in the tourism sector and experts from the agricultural department of the relevant county. The interviewees have been selected through using snowball method and after reaching theoretical saturation, the data collection process was stopped. The results showed that various macro and micro factors affected the process of changing the agricultural land uses to tourism, including the weakness of the agricultural sector in creating income and job opportunities compared to the tourism sector, the weakness of the land use laws and the lack of inter-organizational coordination in law enforcement, the weakness of the property registration system and the lack of a national cadaster, the lack of effective government support of the agricultural sector, the rapid rise in land prices and, ultimately, the change in the attitude of farmers both old and young once towards the agricultural activity and the level of welfare.

The purpose of this study is to investigate the effect of tourism on Land Surface Temperature (LST), an issue which has rarely been considered in the tourism development literature. In this research, remote sensing techniques have been used to analyze the changes in the LST and spectral indices including the Normalized Difference Vegetation Index (NDVI), Modified Normalized Difference Water Index (MNDWI) and Enhanced Built-Up and Bareness Index (EBBI). The data used were based on Landsat Collection 1 Surface Reflectance (SR) images taken in June and August. They were analyzed over 32 years in the years 1987, 1993, 1999, 2009, 2014 and 2019. The study area included the cities of Babolsar and Fereydonkenar and their suburbs in Mazandaran Province in the north of Iran and south of the Caspian Sea. First the tourism zones were separated from other land use zones and then the changes in land use and LST in each of the zones were studied for each year based on the trend of 32-year change. The results of Pearson correlation in the whole area for each main land use zone showed that there was a significant inverse relationship between the LST and the NDVI and MNDWI indices. This relationship was direct and significant for the EBBI index. Moreover, the results of one-way analysis of variance (ANOVA) and Tukey test showed that the LST changes in the tourism zones during the study period were significantly different from the other zones, so that the tourism zones always experienced lower LST. The findings also showed that, in the tourism zones, the values of the NDVI and MNDWI indices showed an increasing trend compared to the urban zone. Therefore, increasing the values of these indices due to the development of green space and its regular irrigation in tourism zones has led to a significant decrease in the LST. The applied results of this research in the urban planning and tourism literature indicate that any model of physical development such as urban development does not necessarily lead to an increase in the LST, and this is entirely dependent on the physical design strategies.

The purpose of this paper is to investigate the effect of the urban densification policies made after the Islamic Revolution on the urban spatial structure of Tehran as the most important metropolis in Iran. The Hot Spot approach based on the Getis Ord Local G statistical test and Arc GIS 10.2 software was employed in this study. The advantage of the Geo-statistic technique used in this study is that this model does not require the exact location of the city centre to map and determine its spatial structure. The results show that the spatial structure of Tehran was affected by the non-spatial densification policies for 30 years (until Tehran’s Master Plan in 2007). Furthermore, these policies were greatly dependent on the financial benefits from the sale of the FAR permission and fines related to the ignorance of the lawful regulations. There is a spatial imbalance between the population and activity distribution patterns in the structure of Tehran. However, the negative spatial consequences of the densification policies are declining capacity of the city centre and the inner wards in retaining the population, and growing population density in the northern outer wards of Tehran.

This paper aims to investigate the approach of density policies in the Tehran Master Plan and the consequences of ignoring the macro spatial scale in density policymaking. In this study, the floor area ratio (FAR) regulations of the Master Plan of Tehran (which are defined by specific land use zones) are used as one of the main densification tools. Then, employing the Getis–Ord Local G and geographic weighted regression (GWR) statistical tests, Arc GIS 10.3 software, and population and employment variables, the spatial outcomes of the Master Plan density policies were modeled. In this research, both population and employment (job) variables and their relationship were utilized to depict the urban spatial structure of the city. The model will show the resulting spatial structure of Tehran if the densification policies of the plan are realized. The findings of the research are surprising, as they indicate that the Master Plan’s densification policies would worsen the current spatial structure by disrupting the current population and employment spatial structure and neglecting their logical relationships. In fact, the Master Plan would change the current polycentric structure into a highly dispersed structure due to its densification approach, which is mainly based on the neighborhood micro scale.