A Multiperiod School Location Planning Approach with Free School Choice
Bibliographic Data
| ID | 4142372 |
|---|---|
| Authors | Sven Müller (0000-0002-3406-2133, Transport and Economics, Technische Universität Dresden, Andreas-Schubert-Strasse 23, 01069 Dresden, Germany), Knut Haase (0000-0002-8587-0739, Transport and Economics, Technische Universität Dresden, Andreas-Schubert-Strasse 23, 01069 Dresden, Germany), Sascha Kle, Sascha Kless (Transport and Economics, Technische Universität Dresden, Andreas-Schubert-Strasse 23, 01069 Dresden, Germany) |
| Year | 2009 |
| Volume | 41 |
| Issue | 12 |
| Pages | 2929-2945 |
| Publication date | 2009-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a40285 |
| OpenAlex | W1976956597 |
| Language | EN |
| Citations received | 3 |
| References cited | 30 |
The subject of this paper is a new approach to multiperiod school location planning in urban areas. Most of the existing approaches in the field do not consider free school choice nor are they able to consider substitution effects between school locations. We minimize the location and transport costs with respect to students choosing the school with the highest utility. Since these school choice probabilities (determined by a mixed multinominal logit model) depend on the available schools, we have to consider two steps. First, we generate for each period a set of scenarios indicating which school is open and which is not. For each scenario we allocate the students to available schools according to capacity and utility. Second, we select for each period one scenario in order to minimize total costs. Problems with a long planning horizon and a large number of demand points are solvable. We apply this approach to schools of the City of Dresden, Germany
Economics · Logistic regression · Mathematical optimization · Mixed logit · Operations research · School choice · Time horizon · Computer Science · Mathematics · Smart Parking Systems Research · Transportation Planning and Optimization · Urban Transport and Accessibility
The Economics of School Choice
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Defining and Estimating a Trading Area
Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph
Parental Preferences and School Competition
Travel-to-school mode choice modelling and patterns of school choice in urban areas
Spatial choice modelling
| Citations per year | 0.2 |
|---|---|
| Citation span | 2011 - 2022 (12) |
| Highly cited | No |