Abstract

Abstract. In order to meet the increasing needs of housing and services in urban areas, cities are densified. When densifying a city, it is important to provide good living conditions while maintaining a low environmental impact. To ensure this, the urban planning process should include simulations of e.g. noise and daylight conditions. In this paper we describe a newly started projected directed towards the need for quality-assured and harmonised input data to the simulations, in the form of 3D city models. The first part of the paper includes the background and research questions of the project and in the second part a tool for daylight simulations on neighbourhood level is introduced, a tool that will be utilized for evaluating the 3D city model design.

Highlights

  • In order to meet the increasing needs of housing and services in urban areas, cities are densified

  • The possibility of using simulations in the urban planning process has not reached its full potential in most countries

  • EVALUATION OF THE TOOL Evaluation of the tool should ideally be done using a city model in at least LOD2 with window information. Since this data is not available yet, we created our own input data for a first evaluation of the tool. 3.1 Study area The study area is located in the Spoletorp neighborhood, near the Central station, in the city of Lund, Scania Sweden (Figure 3)

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Summary

Introduction

In order to meet the increasing needs of housing and services in urban areas, cities are densified. The urban planning process undertakes several steps including communication with relevant stakeholders and the public. At the early stages of the planning process, alternative designs of the planned buildings and infrastructure can be evaluated e.g., by using simulations and parametric modelling. One main reason is that the (legal) planning process, and the legal documents associated with it, are not designed for new digital opportunities. Another reason is that simulations are hampered by a lack of adapted, qualityassured and harmonised input data, e.g., in the form of 3D city models. Other building energy simulations, not concerned with daylight, are not included in this study (as in e.g., Wate & Coors 2015)

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