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High-tech business location, transportation accessibility, and implications for sustainability: Evaluating the differences between high-tech specializations using empirical evidence from U.S. booming regions

Zandiatashbar, Ahoura; Foster, Nicole; Hamidi, Shima

Authors

Ahoura Zandiatashbar

Nicole Foster

Shima Hamidi



Abstract

© 2019 Studies on the accessibility needs of high-tech firms often draw on agglomeration economies and creative class assumptions that emphasizes how transit and walkability encourage clustering, knowledge exchange and innovation. As a result, some argue that knowledge-led economic development aligns with sustainability planning, especially as high-tech industries become increasingly tied to smart city agendas. However, due to the new logistic revolution, global e-economy, rise of online workers and urban land values, it is likely that some tech industries prefer strong highway systems, potentially leading to higher GHG emissions. As such, the relationship between the knowledge economy and sustainability outcomes remains unclear. This study addresses these gaps by quantifying the geography of high-tech zones in North Texas and Northern California, measuring their specializations, and exploring their differences in terms of transportation infrastructures. Our results only partially support research suggesting high-tech industries prefer dense, walkable, transit-accessible places. For instance, we found large numbers of high-tech firms (e.g. IT and aerospace) are still attracted to peripheral, auto-centric spaces, which is at odds with sustainable transportation policies. Hence, policymakers may need to revisit their growth strategies to not only succeed in growing their knowledge economy, but also secure sustainability goals.

Journal Article Type Article
Acceptance Date Jun 2, 2019
Online Publication Date Jun 4, 2019
Publication Date Oct 1, 2019
Deposit Date Jun 3, 2019
Publicly Available Date Jun 5, 2020
Journal Sustainable Cities and Society
Print ISSN 2210-6707
Publisher Elsevier
Peer Reviewed Not Peer Reviewed
Volume 50
Article Number 101648
DOI https://doi.org/10.1016/j.scs.2019.101648
Public URL https://uwe-repository.worktribe.com/output/846204
Publisher URL https://doi.org/10.1016/j.scs.2019.101648
Additional Information Additional Information : This is the author's accepted manuscript. The final published version is available here: https://doi.org/10.1016/j.scs.2019.101648
Contract Date Jun 6, 2019

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