Exploring the Influence of Microtopography on the Spatial Genes of Urban Historical Streets and Alleys in Xuzhou

Yan Lin (), Shuhan Zhang and Yi Jian
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Yan Lin: School of Architecture and Design, China University of Mining and Technology, Xuzhou 221116, China
Shuhan Zhang: School of Architecture and Design, China University of Mining and Technology, Xuzhou 221116, China
Yi Jian: School of Architecture and Design, China University of Mining and Technology, Xuzhou 221116, China

Sustainability, 2025, vol. 17, issue 2, 1-35

Abstract: Spatial genes represent the fundamental interplay among the morphological characteristics of historical districts. Identifying and analyzing these morphological elements can enhance our understanding of urban spatial development, uncover spatial meanings, and provide informed recommendations for future development. This study focuses on the Xuzhou Huilongwo historical district, employing geographic information system, Global Mapper, and other digital technologies to determine the area’s microtopographic features. Qualitative methodologies extract the spatial genes of street segments, entry spaces, and node spaces. By summarizing the microtopography’s influence on street and alley characteristics, valuable spatial samples were selected and visually represented for analysis. This included examining the street segment interface, entry space sequences, and the planar morphology of node spaces. The findings reveal that Huilongwo architecture aligns with topographical features, exhibiting a multi-directional distribution. Height differences help establish street boundaries and enhance pathways’ experiential quality. Additionally, topography significantly influences street spaces, leading to undulating sequences in entry spaces. This study provides insights into the preservation and enhancement of streets and alleys within Xuzhou’s historical district.

Keywords: urban design; spatial genes; microtopography; historical streets and alleys; Xuzhou (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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