Transport Behavior and Built Environment Analysis
Summary
Transport behaviour and built environment analysis examines how the spatial configuration, land‐use patterns and physical design of urban and regional settings shape individual and collective travel decisions. Core aspects include the density and diversity of destinations, street connectivity, public transit accessibility and the allocation of pedestrian and cycling infrastructure. Researchers integrate spatial data, survey measures and emerging sources such as mobile‐phone traces to capture travel flows and preferences. Multiscale analytical frameworks range from disaggregate choice models, which link household and individual attributes to mode selection, to system‐level equilibrium models that simulate network assignment and origin–destination interactions. Attention to self‐selection effects and spatial heterogeneity has sharpened our understanding of causality between environment and behaviour, while computational advances permit the coupling of land‐use evolution with transport network dynamics. Findings inform sustainable mobility policies, from transit‐oriented development and parking management to urban regeneration strategies, and carry global significance in curbing emissions, enhancing equity and guiding resilient infrastructure investment.
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Transport Behavior and Built Environment Analysis publication trend
The graph below shows the total number of articles in transport behavior and built environment analysis across all publications each year (not limited to Nature Index journals).
Technical terms
Built environment: The human‐made physical layout of spaces, including land use, buildings and infrastructure, that influences travel patterns.
Mode choice: The decision process by which individuals select a transport mode (e.g. car, bus, bicycle) for a trip, based on cost, time and convenience.
Nested Logit Model: A discrete choice framework that groups similar alternatives into “nests” to account for correlation in unobserved factors.
Structural Equation Modelling: A multivariate statistical technique that estimates complex relationships among observed and latent variables.
Latent Class Analysis: A method for identifying unobserved subgroups within a population based on response patterns in survey or behavioural data.
Origin–Destination Matrix: A tabulation of travel flows between defined origins and destinations, used to inform network modelling and planning.
References
- An Evolutionary View on Equilibrium Models of Transport Flows. Mathematics (2023).
- Identification and mapping of spatial variations in travel choices through combining structural equation modelling and latent class analysis: findings for Great Britain. Transportation (2020).
- Study on two-stage selection model of tourism destination at the scale of urban agglomerations. Archives of Transport (2022).
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