Feasibility Study of the Pedestrian Movement in the Central Part of Qom City using VIKOR Model and Space Syntax Theory

Document Type : Research article

Authors

1 MA Student in Geography and Urban Planning, Hakim Sabzevari University, Iran

2 Assistant Professor of Geography and Urban Planning, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Iran

3 Associate Professor of Geography and Urban Planning, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Iran

Abstract

Introduction
In the late 1980s, a pedestrian approach to reduction of car ownership came in the opposite direction of urban automation, planning to build human-like cities closer to the scale of space design. As a new approach, pedestrian movement encouraged urban residents to use fewer cars by increasing congestion in urban areas and developing a public transport network. However, in many cities of Iran, urban sprawl development and rapid growth has surpassed the use of cars and motor vehicles intensifying the domination of the cavalry in urban roads. Therefore, in recent years, we have witnessed creation of various types of pedestrian spaces in the country.Some of the saces have been successful and in many cases unsuccessful. One of the reasons for justifying these unsuccessful experiences is that position of each experience is disregarded in the spatial structure of cities and was ignored by planners and designers. This study was investigated to select the appropriate pedestrian roads in the central fabric of Qom city. Hence, analysis of spatial configuration requires an approach that can respond to the complexities of the physical-spatial environment and help to understand the structure and spatial form of modern cities. In this study, the space syntax approach was used to study and analyze the urban spatial structure in the central part (District 7) of Qom. Accordingly, two key questions are raised, which the present research attempts to answer: a) how we can select appropriate urban roads? b) What are the major components affecting the pedestrian capability of the streets in the study area and which components have higher importance? The city of Qom as the second religious center in Iran attracts millions of pilgrims annually. The establishment of commercial centers, religious sites, educational facilities, hotels and numerous hotels around the holly Shrine of Masoumeh, due to their close proximity to the shrine, has made it possible for a large number of pilgrims to travel and settle in this context. Therefore, the pedestrianization of some of these streets can increase the sense of safety, promotion of the social role and enhance the spiritual sense of the passageways. It is important to consider the features of the artistic environment as well as the structure and configuration of the city of Qom to identify the spaces with the greatest potential for creating pavilions.
Methodology
This research is conducted in three sections. First, to analyze the urban configuration, axial lines of Qom were prepared using AutoCAD 2007. In the next step, the axial lines for spatial analysis were depicted in the AutoCAD software. This map was analyzed in the UCL Depthmap10 software. Furthermore, VGA analysis was used in this software for visual analysis. Two criteria for permeability and land use mixing were also evaluated using Shannon entropy method in GIS. Each of the indices was weighted by Shannon entropy. Finally, by integrating the criteria and ranking using the VIKOR method, the studied axes were ranked for pedestrian capability.
Results and discussion
In this study, the axial map of the city of Qom was obtained by drawing 18292 lines in the AutoCAD software. Based on the centrality of the shrine, important streets were selected by immediate relationship with the shrine. Accordingly, five streets of 19-Dey, Enqelab, Taleghani, Imam Khomeini and Eram were investigated in this study.
Integration (Rn)
Through this parameter of integration, one can determine the position of each space in its space hierarchy. Therefore, the streets with the highest degree of integration in a city map represent the city’s structure and flows. Therefore, it can be mentioned that Eram has access to all parts of the region and the city. Other streets such as Enqelab, Imam Khomeini and Taleghani and finally 19-Dey, where there is a slight difference in the value of integration, are considered the main artery of the second degree for movement.
Connectivity
Enqelab Street with 53 connections has the highest degree of spatial connectivity than other streets. The streets of 19-Dey (45), Eram (23), Imam Khomeini (15) and Taleghani (14) have low connectivity parameters.
Integration (R3)
Integration (R3) is an important tool in the city to understand pedestrian movement. Thus, the spaces with high local integration are spatial spaces with high pedestrian potential and high walkability. In this analysis, it was found that Enqelab Street had the highest local integration (4.42) and Taleghani Street had the smallest (3.16) of this parameter. This indicates the ability to move Enqelab Street in comparison with other streets.
Choice
Choice parameter can be used as a criterion to assess the preference and potential of moving urban spaces. The studies show that the highest degree of choice parameter in the region and even somehow in the city of Qom is dedicated to Eram Street.
Intelligibility
In the theory of space syntax, when the characteristics of integration and connectivity parameters are checked in relation to each other, the ability to understand the paths by the residents will be determined. In this study, Enghelab has highest degree of intelligibility (26.97) among the other streets and 19-Dey Street with 22.93 in the second rank.
Control
The higher control of a street means that the space has high spatial integrity; it is influenced by walking and encourages pedestrians to watch. According to a space syntax analysis, 19-Dey Street has the highest degree of control (20), and Enqelab Street is in the second rank with 19.50, Eram with 9.20 degrees of control is in the third rank. 
Spatial Accessibility
This parameter is obtained by calculating the logarithm based on the 10 Choice parameters (LN10 Choice). The results indicate that Eram is ranked first with 7.94. Moreover, Enqelab with 7.84 and Imam Khomeini with 7.52 are ranked in the second and third places.
Mean Depth
The results indicate that the highest Mean depth between the streets is on the 19-Dey Street with an average of 14.70 degrees. The streets of Taleghani (13.39), Enqelab (13.33), and Imam Khomeini (13.27), with a very small difference, are ranked second to fourth, in order. Eram Street with 12.82 degrees of MeanDepth parameter is more favorable than other streets.
Landuse Analysis
In this part, the degree mixed use is applied. This is calculated by the entropy index. The results indicate that Enqelab Street with an entropy coefficient means that (1) has the best mixing status among the streets. Taleghani (0.77) and Eram (0.22), 19-Dey streets (0.19) and Imam Khomeini streets (0.00) are ranked two to five, in order.
Permeability Analysis
The results indicate that 19-Dey has a higher utility in terms of the average number of intersections (3.40) compared with other streets. In other words, it has more intersections (47 intersections) than other streets.
The results show that the most appropriate average length of the block between the streets has been allocated to 19-Dey Street with 37 meters. Furthermore, compared with other streets, Eram has a maximum block length of 65 meters. In this study, Taleghani and Imam Khomeini streets with 48 and 45 meters in block length  are in the next category.  
Analysis of Visibility and Landscape Criteria
 To analyze the visibility and landscape criteria in this study, the degree of "visible step depth" has been investigated. Eram Street with an average of 1.20 degrees of visibility of step depth has the most favorable value relative to other streets. The degrees of visible or the streets of Imam Khomeini (1.35), Enqelab (1.90), Taleghani and 19-Dey reach 2.94.
Street ratings using the VIKOR Model:
With all the variables in the research, the results of the ranking showed that Enqelab Street had a better position to become the pedestrian axis. In this study, the streets of Eram, 19-Dey, Taleghani and Imam Khomeini are ranked 2nd, 3rd, 4th, and 5th, respectively.  
Conclusion
The results of this study showed that the topological order of street patterns was important in space syntax. In addition, integration (Rn), local integration, mean depth, degree of connectivity, street intelligibility, control, spatial and spatial accessibility are among the most important determinants of pedestrianization of urban spaces and pedestrian movement. These parameters were used to prioritize the streets in terms of walkability functionality. Furthermore, the mixed landuse in the streets attracting pedestrians brings the source and destination closer to each other, making the journey more internal. 

Keywords


  1. Abbaszadegan, M. 2002. The method of space syntax in the urban design process, Urban Management journal, 9: 74-63.
  2. Al-alHashabi, M. Jeddie Yeganeh, A.2011. Capability of pedestrian movement in Urban Spaces, Journal of Urban topics, 36: 105-96.
  3. Baran, G., Erbay, A., Bodur, H., Öngürü, P., Akıncı, E., Balaban, N., & Çevik, M. A. (2008). Risk factors for nosocomial imipenem-resistant Acinetobacter baumannii infections. International Journal of Infectious Diseases, 12(1), 16-21.
  4. Berkeley Pedestrian Master Plan Walkability, movement, and safety for the City of Berkeley. (2006). London. England.
  5. Charalambuos, Nadia, and Magda Mavridou. 2012. Space Syntax: Spatial Integration Accessibility and Angulat Segment Analysis by Metric Distance (ASAMeD). Accessibility Instruments for planning practice. Cost office: 57-62.
  6. Dhanani, A., Tarkhanyan, L., & Vaughan, L. (2017). Estimating pedestrian demand for active transport evaluation and planning. Transportation Research Part A: Policy and Practice, 103, 54-69.‏
  7. Friedrich, E; Hillier, B; Chiaradia, A (2009), Using Space Syntax to Understand Spatial Patterns of Socio-environmental Disorder, Proceedings of the 7th International Space Syntax Symposium, Stockholm.
  8. Habibi, S.M. 1998. Urban Design Process, Tehran: Tehran University Press
  9. Haghi, M. R. Izadi.M. S. Rumi, A. 2014. Evaluation and comparison of two walking and walking directions in urban centers in central city of Hamedan. Case study: Central texture of Hamedan city, Journal of Urban Studies, 13: 17-31.

10. Helbich, M., van Emmichoven, M. J. Z., Dijst, M. J., Kwan, M. P., Pierik, F. H., & de Vries, S. I. (2016). Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study. Health & place, 39, 101-109.‏

11. Hillier, B. (2007), Space is The Machine: a Configurational Theory Of Architecture, Cambridge University Press, Cambridge.UK.

12. Hillier, B., Penn, A., Hanson, J., Grajewski, T., & Xu, J. (1993). Natural movement: Or, configuration and attraction in urban pedestrian movement. Environment and Planning B: Planning and Design, 20 (1), 29-66. doi:10.1068/b200029.

13. Hillier, Bill & Hanson, John, The Social Logic of Space, New York, Cambridge University Press, 1984.

14. Jafari Bahman, M. A. Khanian, M. 2011. Problem solving comprehensive plans from the point of view of behavior and comparing them with the existing situation by the method of space arrangement, Armanshahr Journal, 9: 295-285.

15. Jamshidi, M.; Mokhtarzadeh, S. 2010. Application of space syntax in analyzing the spatial structure of worn-out fabrics, the urban topics journal, 35: 83-76.

16. Jeong, S; Lee, T; Ban, Y (2015), Characteristics of spatial configurations in Pyongyang, North Korea, Journal of Habitat International, Vol. 47, PP. 148-157.

17. Karimi, K. (1997), The spatial logic of organic cities in iran and the united kingdom. Space Syntax First International Symposium, Proceeding Vol.1 Comparative Cities, London.

18. Koohsari, M. J., Sugiyama, T., Mavoa, S., Villanueva, K., Badland, H., Giles-Corti, B., & Owen, N. (2016). Street network measures and adults' walking for transport: Application of space syntax. Health & place, 38, 89-95.‏

19. Lotfi, S.Bakhtiari, H. 2013. Organizing the movement in the context of urban neighborhoods by analyzing the connectivity using the space syntax method. Case study: Central texture of Kashmar city, journal of urban studies, 9: 3-15.

20. Madani Pour, A. 2000, Urban Space Design, an Attitude to the Social-Spatial Process, Translation: Farhad Mortazai, Urban Planning and Processing Co., Tehran.

21. Mansouri, M., & Ujang, N. (2016). Tourist’expectation and satisfaction towards pedestrian networks in the historical district of Kuala Lumpur, Malaysia. Asian Geographer, 33(1), 35-55.‏

22. Min, S; Kim, Ch; Kim, Y (2012), the impacts of spatial configuration and merchandising on the shopping behavior in the complex commercial facilities, Proceedings: Eighth International Space Syntax Symposium, Santiago de Chile.

23. Mohamed, A; Van Nes, A; Salheen, M; Kohlert, Ch; Schwander, Ch (2013), The socio-economic implications of the spatial configuration in greater Cairo metropolitan area, Proceedings of the Ninth International Space Syntax Symposium, Seoul.

24. Mohammadian Mosammam, H. Sarrafi, M. Tavakoli Nia, J. Isa Lo, A.A. 2016. Prioritization of the pedestrianization of the paths around the shrine of Masoumeh. Urban Landscape Research, No. 5.

25. Mojtaba R. Esfandiar S. Pourmohammadi, M. 2011. Feasibility study of improving the quality of the environment through the pedestrianization of urban axis Case study: central city of Qom, urban and regional studies 11.

26. Municipality of Qom, Department of Urban Planning and Architecture, Qom, 1395. AutoCAD Map of Qom city.

27. Omer, I; Goldblatt, R (2012), Urban spatial configuration and socioeconomic residential differentiation: The case of Tel Aviv, Journal of Computers, Environment and Urban Systems, Vol. 36, pp. 177- 185.

28. Önder, D. E., & Gigi, Y. (2010). Reading urban spaces by the space-syntax method: A proposal for the South Haliç Region. Cities, 27(4), 260-271.‏

29. Penn, A. (2001), From Isovist to visibility graph: a methodology for the analysis of architecture space. Environment and planning B: Planning and Design, Vol.28.

30. Reis, A; Rosa, C (2012), Configuration, land use, perception, and security: an analysis of residential burglary, Proceedings, Eighth International Space Syntax Symposium, Santiago de Chile.

31. Rodriguez, C; Lima Sakr, F; Griffiths, S; Hillier, B (2012), the relationship of spatial configuration and socio-economic conditions Sao Paulo, Brazil, Proceedings of the Eighth International Space Syntax Symposium, Santiago de Chile.

32. Roshani, M. Saghafi Asl, A. 2016. Comparative analysis of the main structure of Tabriz city from late Qajar to contemporary using spatial arrangement technique, Iranian Journal of Architecture and Urban Planning no.12.

33. Sadeghi, S.Ghaleh noyi, M. Mokhtarzadeh, S. 2012. Investigating the Impact of Contemporary Urban Development Projects on the Structure of the Historical Core of North of Isfahan, Journal of Urban Studies, 5: 3-12.

34. Sajjad Zadeh, H. Izadi, M.S.Haghi, M.R. 2016. Relationship between spatial configuration and environmental variables in informal settlements. Case study: Hesar neighborhood, Hamadan city, Journal of Fine Arts, Architecture and Urban Arts, 3: 26-15.

35. Sandiego Regional Planning Organization. 2009. Planning and Design for pedestrians; Urban Design Guidelines, Tahan Publications: Tehran.

36. Sharmin, S., & Kamruzzaman, M. (2017). Meta-analysis of the relationships between space syntax measures and pedestrian movement. Transport Reviews, 1-27.‏

37. Soltani Fard, H. Hatami Nejad, H. Abbaszadegan, M. Pourahmad, A. 2013. Analysis of the Metamorphism of the Spatial-Physical Structures of the Iranian-Islamic City, Case Study: Sabzevar City, Iranian-Islamic Quarterly, 14: 14-21.

38. Soltani Fard, H. Sayed Moradi, Z.S. 2016. Metamorphosis of Grand Mosque in Spatial Configuration of Islamic City. Case Study: grand Mosque of Sabzevar, Quarterly Journal of Islamic Architectural Studies, 11: 125-107.

39. Steiner R.; Bond A.; Miller, D. & Sand P. (2004), Future Directions for Multimodal Areawide Level of Service Handbook: Research and Development, the Florida Department of Transportation, Office of Systems Planning, Contract BC-345-78.

40. Zampieri, F. L., Rigatti, D., & Ugalde, C. (2009). Evaluated model of pedestrian movement based on space syntax, performance measures and artificial neural nets. In Proceedings of the 7th international space syntax symposium (pp. 1-8).‏