The X-minute city has gained prominence as a planning paradigm for promoting sustainable local living, yet its operationalisation remains methodologically heterogeneous. This paper conducts a systematic review (Scopus, last search 4 March 2026) of 45 quantitative, proximity-based studies to examine how modelling decisions shape X-minute city assessments. Using reflexive thematic analysis, this review shows that proximity “as-modelled” is not an inherent property of urban space but a construct produced through a sequence of interdependent decisions concerning: analysis scope; functional inclusion; analysis approach; spatial representation; modelling variables; and assessment logic. These decision cascades, often implicit or inconsistently reported, generate substantial variation in results and limit the comparability and transferability of existing X-minute city analyses. The paper identifies connections between decision domains, examines how upstream assumptions influence downstream analytical possibilities, and highlights dominant modelling pathways and methodological divergences. Beyond proposing future directions (e.g., use of multi-threshold scenarios, equity-sensitive parameters, hybrid data strategies, and uncertainty/sensitivity reporting), the study provides a grounded baseline framework and guidance for documenting modelling processes. This research ultimately supports more transparent, reproducible, and context-sensitive proximity assessments, thereby contributing both conceptually and practically to the robustness and policy relevance of X-minute city studies.

Unpacking Proximity Modelling for X-Minute Cities: A Systematic Methodological Review / Pezzica, Camilla; Altafini, Diego; Mara, Federico; Chioni, Chiara. - In: SUSTAINABILITY. - ISSN 2071-1050. - ELETTRONICO. - 18:9(2026), pp. 4469-4469. [10.3390/su18094469]

Unpacking Proximity Modelling for X-Minute Cities: A Systematic Methodological Review

Chiara Chioni
2026-01-01

Abstract

The X-minute city has gained prominence as a planning paradigm for promoting sustainable local living, yet its operationalisation remains methodologically heterogeneous. This paper conducts a systematic review (Scopus, last search 4 March 2026) of 45 quantitative, proximity-based studies to examine how modelling decisions shape X-minute city assessments. Using reflexive thematic analysis, this review shows that proximity “as-modelled” is not an inherent property of urban space but a construct produced through a sequence of interdependent decisions concerning: analysis scope; functional inclusion; analysis approach; spatial representation; modelling variables; and assessment logic. These decision cascades, often implicit or inconsistently reported, generate substantial variation in results and limit the comparability and transferability of existing X-minute city analyses. The paper identifies connections between decision domains, examines how upstream assumptions influence downstream analytical possibilities, and highlights dominant modelling pathways and methodological divergences. Beyond proposing future directions (e.g., use of multi-threshold scenarios, equity-sensitive parameters, hybrid data strategies, and uncertainty/sensitivity reporting), the study provides a grounded baseline framework and guidance for documenting modelling processes. This research ultimately supports more transparent, reproducible, and context-sensitive proximity assessments, thereby contributing both conceptually and practically to the robustness and policy relevance of X-minute city studies.
2026
9
Pezzica, Camilla; Altafini, Diego; Mara, Federico; Chioni, Chiara
Unpacking Proximity Modelling for X-Minute Cities: A Systematic Methodological Review / Pezzica, Camilla; Altafini, Diego; Mara, Federico; Chioni, Chiara. - In: SUSTAINABILITY. - ISSN 2071-1050. - ELETTRONICO. - 18:9(2026), pp. 4469-4469. [10.3390/su18094469]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/487290
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact