Abstract
An important specialty in regional science is location theory supported by a rich set of methods and approaches, referred to more generally as location analytics. This chapter provides an overview of new geography location analytics. Issues to be specifically addressed include congestion, dispersion, and concentration but also market size and production scale. A by-product of these concerns is that transportation costs, both distance and travel time, are fundamental. Of course these issues reflect some of the basic tenets of new economic geography. Underpinning much of location analytics is spatial optimization, where mathematical formalization is relied upon to structure a range of models for use in evaluating, extending, and planning for service system design involving facility location and allocation. This enables derivation and application but also communication of goals, objectives, and constraining conditions. Location decisions, trade/market areas, and routing are critical for making goods and services affordable, feasible, and/or profitable. Yet location analytics are not without challenges, among them dealing with big data, model solution, addressing issues of uncertainty, and understanding trade-offs associated with multiple concerns.
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Church RL, Murray A (2018) Location covering models: history, applications and advancements. Springer, Cham
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Murray, A.T. (2020). New Geography Location Analytics. In: Fischer, M., Nijkamp, P. (eds) Handbook of Regional Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36203-3_144-1
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DOI: https://doi.org/10.1007/978-3-642-36203-3_144-1
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