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Assessment of lively street network based on geographic information system and space syntax

Abstract

Axial and visibility graph analysis models are combined with GIS and Space Syntax to study the corresponding relationship between street network and specific city life in Hankou, China, based on three scales - city, district, and community, so as to interpret the hidden structure out of complex urban form through the spatial logic of street network. In this paper, a quantitative analysis is made on selected parameters in Space Syntax, including Integration, Choice, density of road, and Ht index. The result indicates that there is certain correlation among these parameters. Moreover, these parameters also present certain changing patterns along with the increase of analysis radius. The results reveal that the street network of Hankou presents a multi-hierarchical structure and spatial wholeness from all these three scales. This characteristic creates vitality and diversity while maintaining the feature of wholeness for the urban space. Research has turned out that community-scale street network performs a positive role to keep neighborhoods alive. Therefore, it is an important strategy for maintaining the vitality of urban space and realizing coordination and unification between parts and the whole. It is proposed in this paper that a good street network is a key factor for carrying forward urban context of Hankou. Undoubtedly, it is worthy of reflecting on large-scale demolition of existing urban space, especially in historical areas. Afterwards, the paper proposes a hierarchically synergetic planning strategy based on the analysis. More attention should be paid to street network to preserve diversity, continuity, and integrity, and finally archive holistically sustainable development within a city.

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References

  1. 1.

    Alexander C (2002) The nature of order: the process of creating life. Taylor & Francis

  2. 2.

    Alexander C, Ishikawa S, Silverstein M (1977) A pattern language: towns, buildings, construction, vol. 2. Oxford University Press

  3. 3.

    Bafna S (2003) SPACE SYNTAX A brief introduction to its logic and analytical techniques. Environ Behav 35(1):17–29

  4. 4.

    Bartier PM, Keller CP (1996) Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW). Comput Geosci 22(7):795–799

  5. 5.

    Batty M (2001) Exploring isovist fields: space and shape in architectural and urban morphology. Environ Plan B: Plan Des 28(1):123–150

  6. 6.

    Batty M (2005) Agents, cells, and cities: new representational models for simulating multiscale urban dynamics. Environ Plan A 37(8)

  7. 7.

    Chang D (2002) Spatial choice and preference in multilevel movement networks. Environ Behav 34(5):582–615

  8. 8.

    Conzen MRG (1960) Alnwick, Northumberland: a study in town-plan analysis. Trans and Pap (Inst Brit Geogr) iii-122

  9. 9.

    Dennis P (2004) Regenerating the urban waterfront. Urban Plan Overseas 1:009

  10. 10.

    Gil J, Montenegro N, Beirão JN, Duarte JP (2009) On the discovery of urban typologies. In: eCAADe2009 Conference, Istanbul

  11. 11.

    Grant J (2001) The dark side of the grid: power and urban design. Plan Perspect 16(3):219–241

  12. 12.

    Gurer TK (2011) A theory for sustainability of townscape: typomorphology. Green Ecol Technol Urban Plan: Creating Smart Cities 293

  13. 13.

    Hillier B (1996) Space is the machine. Cambridge University Press, Cambridge

  14. 14.

    Hillier B, Hanson J (1984) The social logic of space. Cambridge University Press, Cambridge

  15. 15.

    Hillier B, Iida S (2005) Network and psychological effects in urban movement. In: Spatial information theory . Springer Berlin Heidelberg, pp 475–490

  16. 16.

    Hölscher C, Büchner SJ, Meilinger T, Strube G (2009) Adaptivity of wayfinding strategies in a multi-building ensemble: the effects of spatial structure, task requirements, and metric information. J Environ Psychol 29(2):208–219

  17. 17.

    Jacobs AB (1993) Great streets. ACCESS Magazine 1(3)

  18. 18.

    Jiang B (2009) Ranking spaces for predicting human movement in an urban environment. Int J Geogr Inf Sci 23(7):823–837

  19. 19.

    Jiang B (2013) Head/tail breaks: a new classification scheme for data with a heavy-tailed distribution. Prof Geogr 65(3):482–494

  20. 20.

    Jiang D, Guangmin H (2009) GARCH model-based large-scale IP traffic matrix estimation. IEEE Commun Lett 13.1:52–54

  21. 21.

    Jiang B, Sui DZ (2014) A new kind of beauty out of the underlying scaling of geographic space. Prof Geogr 66(4):676–686

  22. 22.

    Jiang D et al (2011) Joint time–frequency sparse estimation of large-scale network traffic. Comput Netw 55.15:3533–3547

  23. 23.

    Jiang D et al (2011) An approximation method of origin–destination flow traffic from link load counts. Comput Electr Eng 37.6:1106–1121

  24. 24.

    Jiang D et al (2014) A transform domain-based anomaly detection approach to network-wide traffic. J Netw Comput Appl 40:292–306

  25. 25.

    Jiang D, Ying X, Han Y, Lv Z (2015) Collaborative multi-hop routing in cognitive wireless networks. Wirel Personal Commun 1–23

  26. 26.

    Jiang D et al (2015) Network coding-based energy-efficient multicast routing algorithm for multi-hop wireless networks. J Syst Softw 104:152–165

  27. 27.

    Kim HK, Sohn DW (2002) An analysis of the relationship between land use density of office buildings and urban street configuration: case studies of two areas in Seoul by space syntax analysis. Cities 19(6):409–418

  28. 28.

    Lang J (1994) Urban design: the American experience. John Wiley & Sons

  29. 29.

    Li X, Lv Z, Hu J, Zhang B, Yin L, Zhong C, Wang W, Feng S (2015) Traffic Management and Forecasting System Based on 3D GIS Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on. IEEE

  30. 30.

    Li X et al (2015) XEarth: A 3D GIS Platform for managing massive city information. IEEE Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). IEEE

  31. 31.

    Liang B, Chen M (2014) Improving the quality of China’s urbanization through new-type urbanization. Chin J Urban Environ Stud 2(02):1450011

  32. 32.

    Lin Y, Yang J, Lv Z, Wei W, Song H (2015) A self-assessment stereo capture model applicable to the internet of things. Sensors

  33. 33.

    Liu M, Xu Y, Hu Y, Li C, Sun F, Chen T (2014) A century of the evolution of the urban area in Shenyang, China. PLoS One 9(6):e98847

  34. 34.

    Liu S, Fu W, He L et al (2015) Distribution of primary additional errors in fractal encoding method [J]. Multimed Tools Appl. doi:10.1007/s11042-014-2408-1

  35. 35.

    Liu S, Zhang Z, Qi L et al (2015) A fractal image encoding method based on statistical loss used in agricultural image compression [J]. Multimed Tools Appl. doi:10.1007/s11042-014-2446-8

  36. 36.

    Lv Z, Yin T, Han Y, Chen Y, Chen G (2011) WebVR——web virtual reality engine based on P2P network. J Netw 6(7):990–998

  37. 37.

    Lv Z, Tek A, Da Silva F, Empereur-Mot C, Chavent M, Baaden M (2013) Game on, science-how video game technology may help biologists tackle visualization challenges. PLoS One 8(3):e57990

  38. 38.

    Lv Z, Halawani A, Feng S, Li H, Réhman S (2014) Multimodal hand and foot gesture interaction for handheld devices. ACM Trans Multimed Comput Commun Appl (TOMM). 11, 1s, Article 10. 19.

  39. 39.

    Lv Z, Halawani A, Feng S, Rehman S, Li H (2015) Touch-less interactive augmented reality game on vision based wearable device. Pers Ubiquit Comput 19(3):551–567

  40. 40.

    Penn A (2003) Space syntax and spatial cognition or why the axial line? Environ Behav 35(1):30–65

  41. 41.

    Polsky C, Grove JM, Knudson C, Groffman PM, Bettez N, Cavender-Bares J, … Steele MK (2014) Assessing the homogenization of urban land management with an application to US residential lawn care. Proc Natl Acad Sci 111(12):4432–4437

  42. 42.

    Proshansky HM, Fabian AK, Kaminoff R (1983) Place-identity: physical world socialization of the self. J Environ Psychol 3(1):57–83

  43. 43.

    Rowe WT (1992) Hankow: Conflict and Community in a Chinese City, 1796–1895, vol. 2. Stanford University Press

  44. 44.

    Ruan Y, Xiaowei G (2004) An analysis about the practical patterns to consenve the historic districts in China [J]. J Tongji Univ Soc Sci Sect 5:000

  45. 45.

    Seto KC, Reenberg A, Boone CG, Fragkias M, Haase D, Langanke T, …, Simon D (2012) Urban land teleconnections and sustainability. Proc Natl Acad Sci 109(20):7687–7692

  46. 46.

    Trancik R (1986) Finding lost space: theories of urban design. John Wiley & Sons

  47. 47.

    Turner A (2004) Depthmap 4, A Researcher’s Handbook, http://www.vr.ucl.ac.uk/depthmap/handbook/depthmap4.pdf

  48. 48.

    Walker JA, Chaplin S (1997) The concept of the visual. Visual culture—An introduction. pp 18–30

  49. 49.

    Whitehand JWR, Morton NJ (2003) Fringe belts and the recycling of urban land: an academic concept and planning practice. Environ Plan B 30(6):819–840

  50. 50.

    Wu L, Wang X (2007) Method of protection and renewal on historical street district [J]. J Archit Civ Eng 1:017

  51. 51.

    Wu J, Jelinski DE, Luck M, Tueller PT (2000) Multiscale analysis of landscape heterogeneity: scale variance and pattern metrics. Geogr Inf Sci 6(1):6–19

  52. 52.

    Yang J, Chen B, Zhou J, Lv Z (2015) A low-power and portable biomedical device for respiratory monitoring with a stable power source. Sensors 15(8):19618–19632

  53. 53.

    Zhang S, Jing H (2014) Fast log-Gabor-based nonlocal means image denoising methods. 2014 I.E. International Conference on Image Processing (ICIP), IEEE. pp 2724–2728

  54. 54.

    Zhang T, Li Z (2011) REMAKING WUHAN: city planning concepts in 1927–1937. Archit J S1

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Acknowledgments

The authors gratefully acknowledge financial support from the National Natural Science Foundation of China (No. 51408442). They sincerely appreciate anonymous reviewers for their constructive comments and suggestions.

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Correspondence to Dr. Zhihan Lv.

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Cite this article

Li, X., Lv, Z., Zheng, Z. et al. Assessment of lively street network based on geographic information system and space syntax. Multimed Tools Appl 76, 17801–17819 (2017). https://doi.org/10.1007/s11042-015-3095-2

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Keywords

  • Street network
  • GIS
  • Space syntax
  • Spatial hierarchy
  • Hankou