Skip to main content

Research on geographic information characteristics and dynamic control methods of traditional historic districts


Planning historical blocks is an important link in improving the urban history and cultural protection planning system and maintaining urban diversity. There is an important correlation between urban space and points of interest (POI) in the city. With the help of POI big data, the kernel density estimation method and buffer analysis in space syntax and geographic information system (ArcGIS) are used. We established a method of surveying the status quo of historic districts, preparing protection planning, and managing daily protection disputes based on e-scoop technology, which can improve the level of protection and planning of historic districts, enhance the scientific nature of planning, and contribute to the protection of historic districts while giving the management to provide a technical support platform. At the same time, according to the influencing factors of the comprehensive evaluation of the building protection value of the historic block, the comprehensive evaluation index of the current building protection value is established. Based on the establishment of the instructions, the on-site investigation of the historic block building expressed the indexed database. Thematic mapping of each indicator and thematic analysis with the combination of the Delphi method and analytic hierarchy process is used to determine the weight of each indicator. This article has a certain reference to the detailed regulatory planning of Chinese urban blocks. The method changes the artificiality and uncertainty of evaluating the protection value of historical blocks in the past.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10


  • Basu S, Taylor AM (2019) Business cycles in international historical perspective. J Econ Perspect 13(2):45–68

  • Brenner N (2019) Beyond state-centrism? Space, territoriality, and geographical scale in globalization studies. Theory Methods 3:313–336

  • Calbi M, Clerici N, Borsch T, Brokamp G (2020) Reconstructing long term high Andean forest dynamics using historical aerial imagery: a case study in Colombia. Forests 11(8):788

  • Capone G, Malerba F, Nelson RR, Orsenigo L, Winter SG (2019) History friendly models: retrospective and future perspectives. Eur Bus Rev 9(1):1–23

  • Ferrari L, Orozco-Esquivel T, Manea V et al (2019) The dynamic history of the Trans-Mexican Volcanic Belt and the Mexico subduction zone. Tectonophysics 522:122–149

  • Gage KL, Kosoy MY (2020) Natural history of plague: perspectives from more than a century of research. Annu Rev Entomol 50:505–528

    Article  Google Scholar 

  • Gómez C, Velilla C, Manzano-Agugliaro F (2019) Urban and landscape changes through historical maps: The Real Sitio of Aranjuez (1775–2005), a case study. Comput Environ Urban J 44:47–58

    Article  Google Scholar 

  • Gomez SL, Glaser SL, McClure LA et al (2019) The California Neighborhoods Data System: a new resource for examining the impact of neighborhood characteristics on cancer incidence and outcomes in populations. Cancer Causes Control 22(4):631–647

    Article  Google Scholar 

  • Indirli M, Kouris LAS, Formisano A et al (2019) Seismic damage assessment of unreinforced masonry structures after the Abruzzo 2009 earthquake: The case study of the historical centers of L'Aquila and Castelvecchio Subequo. Int J Archit Herit 7(5):536–578

    Article  Google Scholar 

  • Jacoby SF, Dong B, Beard JH, Wiebe DJ, Morrison CN (2018) The enduring impact of historical and structural racism on urban violence in Philadelphia. Soc Sci Med 199:87–95

    Article  Google Scholar 

  • Legewie J (2018) Living on the edge: neighbourhood boundaries and the spatial dynamics of violent crime. Demography 55(5):1957–1977

    Article  Google Scholar 

  • Litvaitis JA, Tash JP, Stevens CL (2020) The rise and fall of bobcat populations in New Hampshire: relevance of historical harvests to understanding current abundance and distribution patterns. Biol Conserv 128(4):517–528

    Article  Google Scholar 

  • Lv Z, Li X, Lv H et al (2019) BIM big data storage in WebVRGIS. IEEE Trans Ind Inf 16(4):2566–2573

    Article  Google Scholar 

  • Marcucci DJ (2020) Landscape history as a planning tool. Landsc Urban Plan 49(1-2):67–81

    Article  Google Scholar 

  • Owens JB (2019) Toward a geographically-integrated, connected world history: employing geographic information systems (GIS). Hist Compass 5(6):2014–2040

    Article  Google Scholar 

  • Rentfrow PJ, Gosling SD, Potter J (2018) A theory of the emergence, persistence, and expression of geographic variation in psychological characteristics. Perspect Psychol Sci 3(5):339–369

    Article  Google Scholar 

  • Sitch S, Smith B, Prentice IC et al (2020) Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Glob Chang Biol 9(2):161–185

    Article  Google Scholar 

  • Steyaert LT, Knox RG (2018) Reconstructed historical land cover and biophysical parameters for studies of land-atmosphere interactions within the eastern United States. J Geophys Res Atmos 6:113

    Google Scholar 

  • Stojanovski T (2019) City information modeling (CIM) and urbanism: blocks, connections, territories, people and situations. Symp Simul Archit Urban Des 3:1–8

    Google Scholar 

  • Theobald DM (2019) Land-use dynamics beyond the American urban fringe. Geogr Rev 91(3):544–564

    Google Scholar 

  • Tsou MH, Buttenfield BP (2020) A dynamic architecture for distributing geographic information services. Trans GIS 6(4):355–381

    Article  Google Scholar 

Download references


The authors are thankful to the higher authorities for the facilities provided.

Author information

Authors and Affiliations



This study was done by the authors named in this article, and the authors accept all liabilities resulting from claims which relate to this article and its contents.

Corresponding author

Correspondence to Ye Qing.

Ethics declarations

Conflict of interest

The author declares no competing interests.

Additional information

Responsible Editor: Santanu Banerjee

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Qing, Y., Haozhong, Y. Research on geographic information characteristics and dynamic control methods of traditional historic districts. Arab J Geosci 14, 1673 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Historical blocks
  • Geography
  • Information characteristics
  • Dynamic control