Measuring the Spatiotemporal Heterogeneity of Commercial Vitality Around Greenfield Semiconductor Facilities

A Human Mobility Perspective

Bibliographic Data

ID22032467
AuthorsXinyue Shen (0009-0006-9954-587X, University of Nevada, Las Vegas), Jie Kong (0000-0002-9405-3204, University of Nevada, Las Vegas), Xiwei Shen (0000-0001-5714-8506, University of Nevada, Las Vegas)
Year2026
Volume15
Issue7
Pages283
Publication date2026-06-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi15070283
OpenAlexW7165947142
LanguageEN
References cited69

The rapid reshoring of semiconductor manufacturing in the United States has introduced large-scale, energy-intensive industrial facilities into metropolitan regions increasingly exposed to climate-related infrastructure pressures. While existing research on industrial development often emphasizes agglomeration-driven economic spillovers, less attention has been given to how the early operational period of such facilities corresponds with surrounding commercial activity, particularly in peri-urban and greenfield suburban contexts. This study examines the spatiotemporal dynamics of localized commercial vitality surrounding semiconductor fabrication facilities in Phoenix, Arizona, and Austin, Texas. High-frequency point-of-interest (POI) mobility data are used to measure localized commercial activity, while regional electricity load records provide contextual information on metropolitan-scale demand conditions. Using a comparative Difference-in-Differences (DiD) framework combined with distance-band analysis and sectoral-temporal stratification, the study evaluates activity patterns between 2020 and 2025. The results indicate that the early operational period of the Phoenix facility is associated with a sustained relative divergence in mobility-derived commercial activity compared with the Austin benchmark trajectory. Spatial analysis identifies a clear distance-dependent gradient, with the largest relative reductions concentrated in intermediate suburban zones rather than immediately adjacent to the facility. Sectoral and temporal analyses further show larger reductions in dining and nighttime activity than in routine retail and daytime activity. Overall, the findings suggest that the early operational period of large industrial mega-projects may be associated with differentiated commercial activity trajectories across surrounding suburban environments. More broadly, the study demonstrates how high-frequency mobility data can be used to examine spatiotemporal variation in commercial vitality around major industrial developments

Electricity · Metropolitan area · Semiconductor device fabrication · Vitality · Human Mobility and Location-Based Analysis · Regional Economics and Spatial Analysis · Urban Transport and Accessibility

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Open DOIOpen Access