Simulating household energy behavior diffusion using spatial microsimulation and econometric models
Bibliographic Data
| ID | 7150583 |
|---|---|
| Authors | Jianhua Zhang (0009-0002-8316-7545), Zhang Jian-hua (0000-0002-5892-5757, University of Groningen, corresponding author), Loes Bouman (0000-0002-2954-5499, Fryske Akademy), Dimitris Ballas (0000-0003-4955-850X, University of Groningen), Xiaolong Liu (0000-0001-6492-2723, University of Groningen) |
| Year | 2025 |
| Volume | 117 |
| Pages | 102256 |
| Publication date | 2025-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computers Environment and Urban Systems (JOURNAL) |
| Journal identifiers | ISSN: 0198-9715 • E-ISSN: 1873-7587 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.compenvurbsys.2025.102256 |
| OpenAlex | W4407265043 |
| Language | EN |
| Citations received | 1 |
| References cited | 127 |
Analyzing household energy behaviors from a spatial perspective is crucial for both policymakers and network operators. However, conducting spatial analysis at a fine scale presents significant challenges, primarily due to data scarcity. This article demonstrates the potential of integrating spatial microsimulation and spatial econometric models to address this issue. Specifically, we construct a static spatial microsimulation model to create a synthetic population for the entire Netherlands, simulating neighborhood-level spatial distributions of household energy behaviors. The results indicate significant neighborhood-level spatial heterogeneity in the adoption of energy behaviors. Subsequently, this simulated output is used as input for spatial econometric models to analyze the neighborhood-level spatial determinants of household energy behavior adoption. We identify the roles of both spatial endogenous effects and neighborhood-specific characteristics in contributing to the observed spatial variations in household energy behaviors. • Using spatial microsimulation to model neighborhood-level household energy behaviors. • Using spatial microsimulation output as input for spatial econometrics. • Neighborhood-specific characteristics influence household energy behaviors. • Spatial endogenous effects are identified
Diffusion · Econometric analysis · Econometric model · Econometrics · Economics · Geography · Microsimulation · Physics · Spatial econometrics · Transport engineering · demographic modeling and climate adaptation · Energy, Environment, and Transportation Policies · Engineering · Urban Transport and Accessibility
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |