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        <identifier>oai:figshare.com:article/32162976</identifier>
        <datestamp>2026-09-20T04:12:52Z</datestamp>
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          <dc:title>Spatial realization uncertainty; Land-use reallocation; Urban simulation; Transport emissions; Scenario ensemble; Built-out district</dc:title>
          <dc:creator>data data (23792677)</dc:creator>
          <dc:subject>Computational modelling and simulation in earth sciences</dc:subject>
          <dc:subject>Spatial realization uncertainty</dc:subject>
          <dc:subject>Land-use reallocation</dc:subject>
          <dc:subject>Urban simulation</dc:subject>
          <dc:subject>Transport emissions</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Compact and mixed land use is promoted for transport decarbonization, but the emission effects of land-use reallocation in built-out districts remain unclear. We examine whether the magnitude and direction of these effects depend on which parcels are converted under the same area targets for each land-use class. In Futian District, Shenzhen, we compare tailpipe CO₂ from interzonal car travel under baseline, service-oriented, and residential-oriented scenarios. Per scenario-year, repeated stochastic allocation generates 100 parcel maps (spatial realizations) meeting the same targets under a fixed land total. To assess spatial-realization and parameter uncertainty, each realization was evaluated through the same travel-demand and emission chain with the same 500 downstream parameter draws. The findings reveal that (1) with downstream parameters held fixed, service-oriented reallocation lowers mean emissions by 0.33% in 2025 and 1.21% in 2030 and emits less than the baseline in 84% and 93% of realizations, whereas residential-oriented reallocation shows no stable increase; (2) reduced trip generation contributes to lower emissions in every realization, and a smaller share of trips leaving their zone does so in most, while distance and car-share contributions vary in sign; and (3) among the represented uncertainty sources, spatial realization accounts for over nine-tenths of the variation in scenario differences. Bounding electrification pathways cut 2030 emissions by 30–53% relative to the 2020 reference fleet. Land-use reallocation is thus a modest, spatially contingent complement to electrification; scenario assessments should report results across maps, not one map.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-20T04:12:52Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.32162976.v1</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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