This article calls for planning practitioners to engage in future-making practices that move from projection reflexive engagement. We demonstrate how the audio walk, as a method engagement, can assist planners developing 1) strengthen planners’ ability see places and issues through local perspectives, 2) help accommodate messy present future plans 3) make recognize their own roles responsibilit...

a r t i c l e i n f o a b s t r a c t The planning community has amassed a large body of publicly available problems in a standardized input language and planners that accept the language. We seized this remarkable opportunity to collect data about how some of these planners perform on the benchmark problems. We analyzed the resulting data to learn about the state of the art in Classical planni...

AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will transform some initial state into some desirable end-state. There is a long tradition of work in AI for developing planners which make use of heuristics which are shown to improve their performance in many real world and ...

At a time of public sector retrenchment in urban regeneration it has become increasingly important to understand how planners can help create better places. Recent studies suggest that planners must behave as market actors by deploying planning tools strategically to influence market behaviour. In this context, this paper examines how local planning authorities use a variety of policy instrumen...

Analysis of flows such as human movement can help spatial planners better understand territorial patterns in urban environments. In this paper, we describe FlowSampler, an interactive visual interface designed for spatial planners to gather, extract and analyse human flows in geolocated social media data. Our system adopts a graph-based approach to infer movement pathways from spatial point typ...

One of the latest advances for solving classical planning problems is the development of new approaches such as portfolios of planners. In a portfolio, different base planners are run sequentially to solve a problem. Therefore, the main challenge of a portfolio planner is to define what base planners to run, in what order, and for how long. This configuration can be created manually or automati...

Citizen dialogues and other participatory practices are basically the norm in contemporary spatial planning. Nonetheless, what happens to citizen input after it has been collected – how is handled utilized by planners continuation of planning process described as a ‘black box’, where most stakeholders lack insight. The aim this explorative study open black box examine local professionals. This ...

The development of domain-independent planners within the AI Planning community is leading to “off the shelf” technology that can be used in a wide range of applications. Moreover, it allows a modular approach – in which planners and domain knowledge are modules of larger software applications – that facilitates substitutions or improvements of individual modules without changing the rest of th...

Problem, research strategy, and findings For decades, planners have been drawing circles of a quarter-mile radius to determine easily walkable distances for neighborhood activity center planning. However, the such “planners’ circles,” or walksheds, is often informed more by convention than data. Here we examine walk-trip based on two national household travel surveys United States Germany. We d...