2026-09-12

96 journals· 448 candidates — 2 worth your time· 185 without an open abstract

no arXiv arXiv answered and returned nothing this day, so this issue covers the rest. The papers below are real — what is missing is the other half of the scope, not the reading.

Headline

A trust-building framework for smart cities, and park-associated vibrancy in Tokyo

Today, together

tag shift
no tag ran above its 30-day average
shares references
Reframing participatory approaches to the smart city as opportunities for trust-building shares 3 references with Bridging digital divides: User-generated data and volunteered urban sensing for inclusive smart city governance (2026-07-24)
3 of them
  • Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities
  • Citizen-centered data governance in the smart city: From ethics to accountability
  • Sense and the city: An Emotion Data Framework for smart city governance
; Reframing participatory approaches to the smart city as opportunities for trust-building shares 3 references with Stories of control: Digitalization narratives in smart city strategy papers of German municipalities (2026-08-05)
3 of them
  • The smart city and its publics: insights from across six UK cities
  • Being a ‘citizen’ in the smart city: up and down the scaffold of smart citizen participation in Dublin, Ireland
  • Problematizing data-driven urban practices: Insights from five Dutch ‘smart cities’
; Reframing participatory approaches to the smart city as opportunities for trust-building shares 3 references with Smartwashing mobility: Governing smart mobility through urban imaginaries (2026-07-24)
3 of them
  • Smart Cities: Definitions, Dimensions, Performance, and Initiatives
  • The smart city and its publics: insights from across six UK cities
  • Being a ‘citizen’ in the smart city: up and down the scaffold of smart citizen participation in Dublin, Ireland
counted over the 2 papers published above
on the same shoulders
no foundation work was cited by four of the day's papers counted over the 98 of this day's 187 named papers whose reference lists we have — standing on the same older work is not the same as being about the same thing
first appearance
Claremont Graduate University; Columbia University; Kochi University of Technology; and 2 more none of them on a paper we published in the 92 days before this issue

Two counts, not one counted twice: every row here but “on the same shoulders” counts the papers published above, and that one counts every paper this day named — those and the ones under Also published today, whose abstracts we could not read.

published: Discover Cities

Columbia University

Smart Cities and Technologies · Innovative Approaches in Technology and Social Development · Sustainability and Climate Change Governance · Columbia University · Claremont Graduate University · Lehman College

Reframing participatory approaches to the smart city as opportunities for trust-building

This paper presents a theoretical framework and typology that reframes public participation in smart cities as a relational process for building trust rather than a direct outcome. By synthesizing sociological research on trust with public participation literature, it categorizes resident involvement into three distinct roles: co-accessors, co-collectors, and co-designers. Each role is analyzed through case studies to demonstrate how it alters the interactional context between residents, smart city experts, and institutions.

Why it matters — It shifts the understanding of smart city public engagement from a transactional exercise to a relational one, showing exactly what institutions must risk—such as data scrutiny or shared control—for genuine trust or productive mistrust to develop.

Caveat: The framework is conceptual and relies on a synthesis of existing literature and illustrative case studies rather than new empirical testing.

published: Discover Cities

Tokyo University of Science

Urban Transport and Accessibility · Urban Green Space and Health · Urban Design and Spatial Analysis · machine learning · Tokyo · Tokyo University of Science

Effects of neighborhood parks on urban vibrancy in metropolitan Tokyo using propensity score matching and machine learning

This study analyzed the relationship between the presence of neighborhood parks and three urban vibrancy indicators—pedestrian flow from mobile phone location data, child population, and annual retail sales—across station catchment areas in the Tokyo metropolitan region. Using propensity score matching to control for land use, population characteristics, and transport conditions, the analysis found that park presence is positively associated with child population and weekday worker pedestrian flow, but has no clear association with retail sales or other pedestrian metrics.

Why it matters — It provides empirical evidence distinguishing which specific dimensions of urban vitality are actually associated with neighborhood parks, moving beyond broad assumptions about green spaces to show they primarily align with family residential patterns and weekday commuter mobility rather than retail performance.

Caveat: The findings are based on cross-sectional, observational data and represent adjusted statistical associations rather than direct causal impacts of park development.

Still cited

Sherry R. Arnstein (1969), A Ladder Of Citizen Participation 1 of today's items cite it · 28 of 3240 in the archive stand on it

Also published today

These appeared today in journals we track. Their abstracts are not openly available, so we cannot summarise them.