Dataset Information

Quantifying long-term evolution of intra-urban spatial interactions.

ABSTRACT: Understanding the long-term impact that changes in a city's transportation infrastructure have on its spatial interactions remains a challenge. The difficulty arises from the fact that the real impact may not be revealed in static or aggregated mobility measures, as these are remarkably robust to perturbations. More generally, the lack of longitudinal, cross-sectional data demonstrating the evolution of spatial interactions at a meaningful urban scale also hinders us from evaluating the sensitivity of movement indicators, limiting our capacity to understand the evolution of urban mobility in depth. Using very large mobility records distributed over 3 years, we quantify the impact of the completion of a metro line extension: the Circle Line (CCL) in Singapore. We find that the commonly used movement indicators are almost identical before and after the project was completed. However, in comparing the temporal community structure across years, we do observe significant differences in the spatial reorganization of the affected geographical areas. The completion of CCL enables travellers to re-identify their desired destinations collectively with lower transport cost, making the community structure more consistent. These changes in locality are dynamic and characterized over short timescales, offering us a different approach to identify and analyse the long-term impact of new infrastructures on cities and their evolution dynamics.

SUBMITTER: Sun L

PROVIDER: S-EPMC4277104 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature

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Quantifying long-term evolution of intra-urban spatial interactions.

Sun Lijun L Jin Jian Gang JG Axhausen Kay W KW Lee Der-Horng DH Cebrian Manuel M

Journal of the Royal Society, Interface 20150101 102

Understanding the long-term impact that changes in a city's transportation infrastructure have on its spatial interactions remains a challenge. The difficulty arises from the fact that the real impact may not be revealed in static or aggregated mobility measures, as these are remarkably robust to perturbations. More generally, the lack of longitudinal, cross-sectional data demonstrating the evolution of spatial interactions at a meaningful urban scale also hinders us from evaluating the sensitiv ...[more]

PMID: 25551142

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Dataset Information

Quantifying long-term evolution of intra-urban spatial interactions.

Publications

Quantifying long-term evolution of intra-urban spatial interactions.

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