Hard and soft approaches to smart cities have been a common language in academic and policy literature, lendingontributed to the origicompartmentalization of the smart city concept itself, with the original . The binary of the hard (technocratic focus now increasingly reframed as “citizen-centric”. The binary of the hard and soft) and soft (societal) is also often presented as a choice of pathways in the development of smart cities. This conceptualization has developed, however, with the original technocratic focus now increasingly reframed as “citizen-centric.”
1. Introduction
The Ci
dea of t
he “smart city” is bringing a number of key and disruptive innovations into the operation of urban life, affecting social dynamics, governance, and markets. Developments in Information and Communication Technologies (ICT) and the Internet of Things (IoT) make it possible to digitally connect myriads of devices, sensors, actuators, and smartphones and to simultaneously collect Big Data for analyzing, managing, and controlling the ever-increasing number of aspects of urban life. The uninterrupted high-resolution flow of users’ data, real-time responses to it, and the customies around the world have embrace the "smart city" and launched initiatives to place people amid evolving piecemeal strategies. Central to such smart-city programs are digitization
of services to tailor people’s individual needs, desires, and trajectories bring the promise of combined efficiency, integration, transparency, inclusiveness, and participation.
and developments in Information and Co
nseqmmu
ently, many cities around the world have launched smart city initiatives, often supported by strategic city-level programs. Discursively, these strategies “place people at the center.” Meanwhile, at the core of the emergence of the smart city remain digitalization and ICT. This has produced thenication Technologies (ICT), which are part of "hard" approaches in a dichotomist
expression of “hard” and “soft”framework. Among such approaches
to the smart city (e.g.,are [1][2]), where “hard” refers to ICT
-centered applications a
nds well as physical infrastructure
s such as buildings, energy grids, natural resources, water and waste management, mobility, and logistics, while “soft”, whereas soft approaches point
s to innovation
s, education, culture, social inclusion, and governance.
This Respectively, they represent a discursive dichotomy
of “hard” and “soft” may also appear in other forms such as “referred to as technical
” or “ or social
” or as part parts of an integrated
(systems) approach
[3].
The binary
of nat
he hard and soft is also often presented as a choice of pathways in the development of smart cities. It has become rare that a smart city vision does not include a form of a pie diagram plotting a circle in the middle that reads “sure of unintegrated approaches forces pathway choices in smart city
” and is surrounded by sectors for “smart people”, “smart living”, “smart economy”, “smart government”, “smart environment”, and “smart mobility” and their variations. This is supposed to demonstrate an integrated approach, where inevitably, the “soft” approach dominates. However, it is often the case that soft domains are emphasized in a discursive way to justify the rationale for the deployment of smart cities, but that specific areas of real-life smart city application shift the emphasis back to the hard domains such as dataization, its enabling infrastructure, and the deployment of various ICT-based technological solutions. Acknowledging this as a strategy to promulgate technological and instrumentalist agendas in the name of social agendas and citizen empowerment [4] development. These can be framed as sectors frequently employed to encapsulate the smart city (e.g., fragmented into people,
we, neverthel
ess, argue that this is more than a discursive diversion. What is happening is rather symptomatic of the ever-deepening interpenetration and hybridization of technicaliving, economy, govern
ance, and sociocultural elements in an increasingly digitalized society, where thement, environment, mobility). However, this dichotomy of technology versus society is
inbecoming increasingly difficult to
sustain in practice and
, indeed, becomes can pose an epistemological obstruction to
addressing the ssmart city
as an analytical category.
2. The Politics of Hard/Soft Dichotomies
Hard adevelopmen
d soft
approaches to smart cities have been a common language in academic and policy literature, lending to the origin of the smart city concept itself, with the original technocratic focus now increasingly reframed as “citizen-centric” (i.e., [4]). With ICT , both conceptually and practically. Ultimately, technical approaches will need to be
ing central to the smart city, the concept has also drawn from other “hard” sectors such as low-energy buildings, transportation systems, or automation (cf. [5][6][7]). Howjustified based on their societal purpose in e
vxpe
r, the smart city has quickly developed a dialogue with longer-standing principles of sustainable cities [8]nsive real-world applications. This le
ands to a broader and varied engagement with smart cities
, now necessarily involving
the notions of multiple ststakeholders, participation, citizens, and
other soft/soft/ social aspects
[9].
LMore
taifa [10], for
e
xample, discusses the importance of approaching smart cities asalistically is a complex
innovation ecosystems
withapproach that integrate
ds socioeconomic, e
cologicnvironmental, cultural, and political sub
-systems w
hile adoptingithin a sustainability
approachframework.
NAmid this, the
vertheless,re remain political tensions between
the hhard and soft pathways to
the smart city remain. Many authors are cautious about iachieving the smart city. Imbalances
when the smart cityexist in agenda
iss that are dominated by digital technology
. They question whether so-called smart solutions are all about a technolog, with technical push
drivenes by high-tech corporations
(e.g., [11][12][13][14]). This brian
gsd forth the entrepreneurial stimulation of smart development by
the ICT industries and markets
associated with their products and services [15][16].
Discursively at least, cCitizen engagement
and the idea that technology is needs to be leveraged
to achievewith greater s
ocial, environmental, and economic—or overall sustainability
—needs become the inputs as its currency
of the smart city. Cities
such as Barcelona have adopted an integrated architecture based on sensors, code, and the Internet—all in the name of developing networked habitats and distributive management as part of a “multi-like Barcelona are multiscalar
city”and empowering
itstheir citizens
[17]. Admiring Ba
rcelona’s
recent attempt to re-envisage the smart city around “technological sovereignty” and the notion that teplaces where technology
should be is oriented to serve local residents as technology
“commons
”, Refs.
[4][18] argue that elsewhere “cAvoi
tdi
zen-centric” roles are narrowly based on predefined choices over market-led solutions (citizens as users or consumers), and not so much in proactive social innovation or political citizenship. They [18] also arng top-down approaches to smart city development could promote inclusiveness (e.g
ue., that this approach is common for EU institutions, and, despite all the “citizen-focused” discourse, smart urbanism remains rooted in instrumental and paternalistic practices.
Manycommunity-led initiatives) a
uthors have similarly question
ed the extent of inclusiveness of smart interventions regardless of their capacityd help to boost sustainability
and spurwhile spurring economic growth
in cities. Some call the smart city a “hollow signifier” built upon elitist control that only renders further exclusions and injustices, triggering, although not through commodification a
mid a weak economy [19][20]. This perspective con
sid
ers smart city solutions as neoliberal “te techno-environmental fixes
” t.
Th
atus, involve the depoliticization of city governance and the outsourcing of public services to money-grabbing initiatives by technology funders, utilitysocial responsibility, politics, and
ICT companies [14][17][21].
Whaet
emerges h
ere is key to the issue oics of govern
ance. If the “soft” strategy is chosen, sustaining it in practice may be problematic given the strong impulses for marketization via digitalization more aligned with the “hard” strategy offered by technology proponents. Yet, an ing technological hardware and infrastructure and software become important
extension from that is the delibeconsideration
of whether it is still meaningful to make the dichotomist distinction between the “hard” and “soft” domains or whether it is necessary to accept their co-production (if not blurred meanings). That would require acknowledging both the changing nature (digitalization) of society and the political nature of technology and, consequently, the social responsibility, politics, and ethics of governing technological hardware, software, and other infrastructure.
The multifaceted nature s in a multifaceted (inclusive) approach. A systems thinking approach - rather than other-replacing - is relevant to
f smart cities, therefore, necessitates a different approach that is more in line with systems thinking, where hard and soft domains are co-occurrent and combined in their operation rather than other-replacingconsider integration and the complexity of the system.