Ecological and Digital Transition in Cities: Measuring Ecosystem Services for Urban Planning and Design argues that contemporary urban planning must integrate ecological transition, digital innovation and social inclusion through a data-driven understanding of ecosystem services as central urban infrastructure. Edited by Moraci, Bevilacqua and Pizzimenti, the volume situates cities within the pressures of climate change, biodiversity loss, neoliberal urban development, social inequality and post-pandemic uncertainty. Its main claim is that planning can no longer rely on fixed spatial models or purely growth-oriented regeneration, but must become adaptive, regenerative and evidence-based. Ecosystem services—food, water regulation, climate mitigation, biodiversity, recreation, air purification and cultural benefits—are presented as essential to urban health and resilience. The book connects these services with big data, artificial intelligence, urban informatics, indicators and spatial modelling, proposing that digital tools can support ecological planning when they are directed toward public value rather than mere technological optimisation. Several chapters examine frameworks for measuring ecosystem services, green infrastructure, sustainability indicators, circular economy, urban regeneration, climate adaptation and uneven green development, including the risk that certified sustainable buildings may reproduce spatial inequality. The strongest contribution of the book is its attempt to translate natural capital into operational planning tools, linking land use, local climate zones, social cohesion, mobility, urban metabolism and governance. The proposed approach understands the city as a socio-ecological-technological system where natural, built and social capital must be planned together. Its conclusion is pragmatic and political: ecological transition requires not only restoration of ecosystems, but also new planning cultures able to monitor, revise and redistribute urban benefits through adaptive, inclusive and data-informed governance.