@inbook{f54428c2727a4dce8d73b149e85da249,
title = "Assessing complexity of urban spatial networks",
abstract = "In the present chapter, we discuss the graph representations of urban spatial patterns (maps) and suggest a computationally feasible technique for understanding urban forms based on scale-dependent random walks that can be used in order to spot the relatively isolated locations and neighborhoods, to detect urban sprawl, and to illuminate the hidden community structures in complex urban textures. The approach may be implemented for the detailed expertise of any urban pattern and the associated transport networks that may include many transportation modes.",
author = "Dimitri Volchenkov",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.",
year = "2019",
doi = "10.1007/978-3-030-12381-9_9",
language = "English",
series = "Modeling and Simulation in Science, Engineering and Technology",
publisher = "Springer Basel",
pages = "173--197",
booktitle = "Modeling and Simulation in Science, Engineering and Technology",
}