Trend-Breaking Influences of Built Form on Travel in UK Cities: Evidence from New Quantifications of Within- and Between-Built-Form Variations
| Autor: | Ying Jin, Kaveh Jahanshahi |
|---|---|
| Přispěvatelé: | Jin, Ying [0000-0003-2683-6829], Apollo - University of Cambridge Repository |
| Rok vydání: | 2016 |
| Předmět: |
car ownership
050210 logistics & transportation Car ownership Computer science UK National Travel Survey Mechanical Engineering 05 social sciences 0211 other engineering and technologies 021107 urban & regional planning Sample (statistics) Advertising 02 engineering and technology structural equation modelling random effect modelling mobility Structural equation modeling accessibility Travel behavior Travel survey 0502 economics and business Econometrics Endogeneity Civil and Structural Engineering |
| Zdroj: | Transportation Research Record: Journal of the Transportation Research Board. 2564:31-40 |
| ISSN: | 2169-4052 0361-1981 |
| DOI: | 10.3141/2564-04 |
| Popis: | Using a consistent time series of 11 years (1,137,259 sample trips, 2002 to 2012) and all main variables from the UK National Travel Survey, this paper develops a novel structural equation model (SEM) with random intercepts to gain new insights into the influences of built-form characteristics on travel behavior. With simultaneous modeling of car ownership as an endogenous variable in determining influences on travel outcomes and allowing SEM intercepts to vary across built-form categories, one controls for car ownership endogeneity while measuring within- and between-built-form variations through incorporating random intercepts in the model. The new models unambiguously decompose the self-selection and spatial sorting of household effects from the influence of the built-form characteristics. This research further investigates trend-breaking influences by generating pre-2007 and post-2007 model outputs with a multi-time-period structure. The new quantifications are built on more-robust statistical theories than hitherto and, thus, imply significant implications on how to interpret the effect of recent transformations in UK inner cities. The method can also be used to produce a regular and timely update on any shifts in the influences on travel and provide feedback for land use planning and integrated built-form and transport interventions. |
| Databáze: | OpenAIRE |
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