Environment and Planning B: Urban Analytics and City Science

The majority of studies on Chinese urbanization have been focused on coastal areas, with little attention given to urban centers in the west. Western provinces, however, will unquestionably undergo significant urban change in the future as a result of the ‘Go West’ policy initiated in the 1990s. In this paper the authors examine the relationship between drivers of urban growth and land-use outcomes in Chengdu, capital of the western province of Sichuan, China. In the first part of this research, remotely sensed data are used to map changes in land cover in the greater Chengdu area and to investigate the spatial distribution of development with use of landscape metrics along seven urban-to-rural transects identified as key corridors of growth. Results indicate that the urbanized area increased by more than 350% between 1978 and 2002 in three distinct spatial trends: (a) near the urban fringe in all directions prior to 1990, (b) along transportation corridors, ring roads, and near satellite cities after 1990, and, finally, (c) infilling in southern and western areas (connecting satellite cities to the urban core) in the late 1990s. In the second part of this paper the authors connect patterns of growth with economic, land, and housing market reforms, which are explored in the context of urban planning initiatives. The results reveal that, physically, Chengdu is following trends witnessed in coastal cities of China, although the importance of various land-use drivers differs from that in the east (for example, in the low level of foreign direct investment to date). The information provided by the land-use analysis ultimately helped tailor policies and plans for better land management and reduced fragmentation of new development in the municipality.

The goal of the described research is an interactive computer system for the design of customized mass housing. Shape grammars are the formalism proposed to systematize the design rules required for such a system. A shape grammar for Alvaro Siza's patio houses at Malagueira, a 1200-unit development still being designed and constructed today, is presented. The grammar is based on the corpus of thirty-five houses designed between 1977 and 1996. The generation of houses in the grammar proceeds by the recursive dissection of rectangles locating four different functional zones (patio, living, services, and sleeping) and the key placement of the staircase. The schematic generations of two existing houses and the detailed generation of a novel one illustrate the grammar.

Key scientific and application questions concern the relationships between individual-level activities and their effects on broader human phenomena, such as transportation systems and cities. Continuing advances in geographic information science, location-aware technologies, and geosimulation methods offer great potential for observational and simulation studies of human activities at high levels of spatiotemporal resolution. The author contributes by developing rigorous statements of the necessary space–time conditions for human interaction by extending a measurement theory for time geography. The extended measurement theory identifies necessary conditions both for physical and for virtual interaction. The theory suggests elegant and tractable solutions that can be derived from data available from location-aware technologies or geosimulation methods. These conditions and their solutions could be used to infer the possibilities for human interaction from detailed space–time trajectories and prisms generated from observation or simulation studies.

Differences in stakeholders' perceptions, lack of commitment, unused knowledge, and interfering, ineffective, measures are just some of the problems encountered in sustainable urban development projects. Collaborative decisionmaking approaches tackle these problems by creating a shared understanding of the problems faced and of ways to address them. The authors explore how the combined application of two techniques, a decision-support tool and a simulation game, can support decisionmaking for sustainable urban development. The techniques are applied in decision-making for real and in fictional sustainable urban renewal projects. Benefits and challenges of this combined approach are discussed based on experiences in seven applications. The main finding is that the use of the decision-support tool combined with the simulation–gaming procedure can support agenda setting and help create a shared understanding of problems and potential solutions in the field of sustainable urban renewal.

The fewest-line axial map, often simply referred to as the ‘axial map’, is one of the primary tools of space syntax. Its natural language definition has allowed researchers to draw consistent maps that present a concise description of architectural space; it has been established that graph measures obtained from the map are useful for the analysis of pedestrian movement patterns and activities related to such movement: for example, the location of services or of crime. However, the definition has proved difficult to translate into formal language by mathematicians and algorithmic implementers alike. This has meant that space syntax has been criticised for a lack of rigour in the definition of one of its fundamental representations. Here we clarify the original definition of the fewest-line axial map and show that it can be implemented algorithmically. We show that the original definition leads to maps similar to those currently drawn by hand, and we demonstrate that the differences between the two may be accounted for in terms of the detail of the algorithm used. We propose that the analytical power of the axial map in empirical studies derives from the efficient representation of key properties of the spatial configuration that it captures.

Toxic sites worldwide expose millions to environmental and health risks. In response, public agencies in Western Europe and the United States have begun to identify and remediate contaminated sites. Public participation in cleanup decisions is a critical part of this process. US agencies increasingly rely on Community Advisory Boards (CABs) to facilitate long-term participation. CABs are intended to inform and consult the public and integrate citizens' input in cleanup decisions. Recent research, however, finds that participatory processes often fall short of their objectives. This paper examines the performance of CABs in involving the public in toxic sites cleanup decisions in the United States. The research (1) develops a conceptual framework and a quantitative methodology to assess CABs; and (2) uses this methodology to assess whether CABs achieve successful participation. The analysis targets CABs at five toxic sites in Tucson, Arizona, and builds on the content analysis of eighty-one CAB meeting minutes, twenty-seven interviews with CAB members, and a survey of eighty residents around three of the sites. The key findings are that, although CABs successfully diffuse information from agencies to CAB members and (to a lesser degree) gather feedback from CAB members, they fail to inform the general public and provide community feedback to the agency.