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Improvements in geographical information systems, the wider availability of high-resolution digital data and more sophisticated econometric techniques have all contributed to increasing academic interest and activity in long-term impacts of transport infrastructure networks (TINs) on land use (LU). This paper provides a systematic review of recent empirical evidence from the USA, Europe and East Asia, classified regarding the type of transport infrastructure (road or rail), LU indicator (land cover, population or employment density, development type) and outcome (significance, relationship's direction) as well as influential exogenous factors. Proximity to the rail network is generally associated with population growth (particularly soon after the development of railway infrastructure), conversion to residential uses and the development of higher residential densities. Meanwhile, proximity to the road network is frequently associated with increases in employment densities as well as the conversion of land to a variety of urban uses including commercial and industrial development. Compared with road infrastructure, the impact of rail infrastructure is often less significant for land cover or population and employment density change. The extent of TINs' impact on LU over time can be explained by the saturation in TIN-related accessibility and LU development. ARTICLE HISTORY

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Transport accessibility is assumed to be a main driver of urbanisation. Like many other metropolitan regions, the Randstad, the population and economic core of the Netherlands has experienced significant urbanisation, transport network expansion and spatial policies aimed to channel urban growth. This paper investigates the long-term relationships between the development of railway and motorway networks, urbanisation, and spatial policies, by using a panel dataset consisting of grid cells measured at six time points from 1960 to 2010. Generalised Estimating Equations analysis was applied to model the built-up area. Predictors include proximity to and accessibility by transport infrastructure, vicinity of urban areas, and spatial policies. Results indicate that road and rail accessibility alike, stably influenced urbanisation, but less than proximity to urban areas. Spatial policies played a significant role in channelling new urbanisation, while preserving the centrally located green and mainly rural area. Remarkably, the legacy of earlier policies is still significant despite shifts in predominant Dutch spatial policies. The findings are expected to be relevant for comparable poly-nuclear areas.

In many places, streets are still primarily designed for the convenience of motorists, considering mobility function as the principal design goal. There is a scarcity of empirical evidence on the relationship between the design of a street and how it is experienced by pedestrians who use it. This work focuses on quantifying pedestrians’ perception of walkability through a stated preference survey using a dynamic 3D representation of various street designs in Toronto, Canada. The stated preference scenarios are generated through a rule-based 3D environment (Esri’s CityEngine) and animated using a gaming engine (Unity). A random sample of 600 Torontonians is used for the empirical investigation by estimating a mixed multinomial logit model. The results indicate that there is a high preference for (i) streets that include transit lanes as opposed to car-exclusive lanes, (ii) the presence of trees on the sidewalk, and (iii) two-way cycle paths on the curb lane. Furthermore, pedestrians are willing to trade sidewalk width for the presence of trees and outdoor dining. The survey’s innovative presentation mode and its findings can contribute to the development of much-needed evidence-based design tools to assess the trade-offs required between the many possible uses of roadway space, while focusing on the overlooked role of the pedestrian experience.

Long-term, large-scale empirical studies on the simultaneous development of transport infrastructure and the built environment are scarce. This paper provides a long-term study of the development of the railway network and its impact on the built-up area-and vice versa-using the case study of the Randstad in the Netherlands between 1850 and 2010. The analysis is both qualitative and quantitative. We describe the shares of the built-up area in concentric buffers of 1-kilometer intervals from railway stations and estimate binomial logit models to predict the likelihood of new stations being built based on the amount of the preceding and subsequent built-up area and the likelihood that a new station might have encouraged further growth. Results show that during the early days stations followed existing urbanization patterns. But as time went by, new stations were more likely to be located in undeveloped areas and less likely to be located within the established built-up areas, which were already serviced by existing stations. Moreover, they prompted further growth, increasing the likelihood of more urbanization in their vicinity. IntroductionA key question in urban studies is how urban areas expand. Understanding the determinants of urban growth and the consequences of their interaction is critical information for many people, from economic geographers to spatial planners and policymakers who aim to guide and channel future urban development. Many have argued the structuring role played by transport infrastructure in shaping the cities over time (e.g., Hoyt 1939;Mumford 1961;Rodrigue, Comtois, and Slack 2009). Furthermore, it has been observed that transport infrastructure, urbanization (more generally referred to as land use), and travel behavior are all interrelated. Infrastructure improvements increase accessibility, making land more valuable for further development; conversely, land development creates travel demand, and con-

Life cycle assessment (LCA) aims to provide a near full accounting of impacts from the complete life of a product, to avoid burden shifting between different parts of the life cycle. However, this is exceptionally difficult with transport infrastructure because important parts of their impact lie outside the widely applied industrial-product-oriented LCA life stages: production, manufacturing, use, and end of life. To account for those missing impacts, we propose a new framework for assessing the life cycle impacts of transport infrastructure. This framework takes account of the differences between transport infrastructure and the industrial product system to which LCA is most attuned. First, rather than a linear process from material extraction to disposal, this LCA framework accommodates the multiple iterations of transport infrastructure through circular life stages. These reflect the long lifetimes, durability, persistence, and feedback loops of transport infrastructure. Second, this framework recognizes the impact at the start of the life cycle created by demolition of previous infrastructure or land clearing. Third, the tightly linked external impacts that transport infrastructure induces, including influences on travel behavior, local land use, land use, land use change and forestry, and network effects are captured. Fourth, this framework recharacterizes "end of life" as "partial end of life," in reflection of the widespread reconstruction, major refurbishment of and persistence of indirect impacts from transport infrastructure.