Explaining the location decision of moving firms using their mobility profile and the accessibility of locations

This paper describes the research approach and first empirical results of the estimation of discrete choice models that describe the location decision of moving firms. The model is based on random utility theory and features systematic choice sets to account for the choice context at the highest level of spatial detail (address-level). Firms are analysed categorised to their mobility profile. These mobility profiles are homogenous groups of firms with similar mobility characteristics that are a priori assumed. The models are tested on an extensive revealed preference dataset with firm migration observations in South Holland. To avoid correlations between variables a variety of composed accessibility variables have been constructed that describe the distances to the physical infrastructure or that are an aggregated form of potential accessibility. The location attributes of alternatives have been completed with the business environment type and the rental level. The results are first of all valuable for the development of a simulation model for firm location but the empirical results also yields insight into the spatial behaviour and location preference of firms. Although further research is necessary, the presented addresses some challenges in modelling the spatial behaviours of firms in an urban environment. Therefore the presented approach holds seems valuable for the development of a simulation model for location decisions of moving firms and offers good possibilities for future research.

Using firm demographic microsimulation to evaluate land use and transport scenario evaluation - model calibration

Existing integrated land use transport interaction models simulate the level of employment in (aggregated) zones and lack the individual firm as a decision making unit. This research tries to improve the behavioural foundation of these models by applying a firm demographic modelling approach that first of all accounts for the individual firm as a decision making unit and secondly represents the urban system with high spatial detail. A firm demographic approach models transitions in the state of individual firms by simulating transitions and events such as the relocation decision, growth or shrinkage of firms or the death of a firm. Important advantage of such a decomposed approach is that it offers the opportunity to account for accessibility in each event in the desired way. The firm demographic model is linked to an urban transport model in order to obtain a dynamic simulation of mobility (and accessibility) developments. The paper describes the firm demographic model specifications as well as the interaction of the model with the urban transport model. The integrated simulation model can be used to analyse the effects of different spatial and transport planning scenarios on the location of economic activities and mobility.

International accessibility and rental levels: a case study for the office-market in the Netherlands

Rental levels of office floor space are determined by aspects of the buildings and aspects of the location. In this contribution we focus on the characteristics of locations using a large database of market-transactions. Accessibility proves to have an important impact on price levels. In particular the most expensive locations must have an excellent international accessibility by Air. Empirical results are presented.

Interaction of transport and land use: framework for an integrated urban model

The growing general concern on limited resources (e.g. space) have led to the conviction that policy makers, that deal with urban development, need to consider their choices carefully, with respect to the effects on urban development on the long term. Models that describe the urban development provide quantitative insight in the effects of possible government policy and are a useful tool for policy makers. In the last decade new generation computers have drastically increased data handling capacity and graphically possibilities, allowing much more detail in spatial modeling. This has resulted in research efforts into urban models to quantify the effects of spatial policy. The research, which will be described in this paper, aims for an integrated approach to spatial modeling with special attention on the influence of transport networks and the role of the government. Main objective of the research is the development and application of an urban model to quantify the effects of planning policies on the spatial development. At micro level this urban model simulates the reaction of actors to changes in the urban system: the development or renewal of new urban areas and new infrastructure. These changes are imposed on the urban system by government and developers on macro and meso level. The paper will present the theoretical framework for the proposed urban model and the objectives of the research. This will be complemented with a description of spatial planning issues in the Netherlands. In the proposed urban model the spatial system (urban region) is represented by multiple linked sub-systems. Individual sub-systems are: the housing market, public facilities, the market for business real estate and the transport system. Each sub-system is represented as a market with a supply and demand side. The government and (project) developers define the supply side through spatial policy and investments. On the demand side, agents (households and companies) react at changes in these subsystems. These reactions expose themselves as individual decisions whether to move to other dwellings or to relocate businesses. Development and application of modeling techniques for the choice behavior of households and companies as entities, are main objectives in the research. The urban markets have a strong coherence for the spatial relations of each agent. Quantification of these relationships, by analyzing the transportation facilities, is important in analyzing the choice behavior of households and companies. This is why the transport system plays a central role in the urban model. For each subsystem an appropriate modeling technique has been selected, based on an exploration of available approaches in the literature and other research programs. Efforts are under way to collect and operationalize the extensive data necessary for the modeling task.

Explaining the location decision of moving firms using their mobility profile and the accessibility of locations

This paper describes the research approach and first empirical results of the estimation of discrete choice models that describe the location decision of moving firms. The model is based on random utility theory and features systematic choice sets to account for the choice context at the highest level of spatial detail (address-level). Firms are analysed categorised to their mobility profile. These mobility profiles are homogenous groups of firms with similar mobility characteristics that are a priori assumed. The models are tested on an extensive revealed preference dataset with firm migration observations in South Holland. To avoid correlations between variables a variety of composed accessibility variables have been constructed that describe the distances to the physical infrastructure or that are an aggregated form of potential accessibility. The location attributes of alternatives have been completed with the business environment type and the rental level. The results are first of all valuable for the development of a simulation model for firm location but the empirical results also yields insight into the spatial behaviour and location preference of firms. Although further research is necessary, the presented addresses some challenges in modelling the spatial behaviours of firms in an urban environment. Therefore the presented approach holds seems valuable for the development of a simulation model for location decisions of moving firms and offers good possibilities for future research

Using firm demographic microsimulation to evaluate land use and transport scenario evaluation - model calibration

Existing integrated land use transport interaction models simulate the level of employment in (aggregated) zones and lack the individual firm as a decision making unit. This research tries to improve the behavioural foundation of these models by applying a firm demographic modelling approach that first of all accounts for the individual firm as a decision making unit and secondly represents the urban system with high spatial detail. A firm demographic approach models transitions in the state of individual firms by simulating transitions and events such as the relocation decision, growth or shrinkage of firms or the death of a firm. Important advantage of such a decomposed approach is that it offers the opportunity to account for accessibility in each event in the desired way. The firm demographic model is linked to an urban transport model in order to obtain a dynamic simulation of mobility (and accessibility) developments. The paper describes the firm demographic model specifications as well as the interaction of the model with the urban transport model. The integrated simulation model can be used to analyse the effects of different spatial and transport planning scenarios on the location of economic activities and mobility

International accessibility and rental levels: a case study for the office-market in the Netherlands

Rental levels of office floor space are determined by aspects of the buildings and aspects of the location. In this contribution we focus on the characteristics of locations using a large database of market-transactions. Accessibility proves to have an important impact on price levels. In particular the most expensive locations must have an excellent international accessibility by Air. Empirical results are presented

Interaction of transport and land use: framework for an integrated urban model

The growing general concern on limited resources (e.g. space) have led to the conviction that policy makers, that deal with urban development, need to consider their choices carefully, with respect to the effects on urban development on the long term. Models that describe the urban development provide quantitative insight in the effects of possible government policy and are a useful tool for policy makers. In the last decade new generation computers have drastically increased data handling capacity and graphically possibilities, allowing much more detail in spatial modeling. This has resulted in research efforts into urban models to quantify the effects of spatial policy. The research, which will be described in this paper, aims for an integrated approach to spatial modeling with special attention on the influence of transport networks and the role of the government. Main objective of the research is the development and application of an urban model to quantify the effects of planning policies on the spatial development. At micro level this urban model simulates the reaction of actors to changes in the urban system: the development or renewal of new urban areas and new infrastructure. These changes are imposed on the urban system by government and developers on macro and meso level. The paper will present the theoretical framework for the proposed urban model and the objectives of the research. This will be complemented with a description of spatial planning issues in the Netherlands. In the proposed urban model the spatial system (urban region) is represented by multiple linked sub-systems. Individual sub-systems are: the housing market, public facilities, the market for business real estate and the transport system. Each sub-system is represented as a market with a supply and demand side. The government and (project) developers define the supply side through spatial policy and investments. On the demand side, agents (households and companies) react at changes in these subsystems. These reactions expose themselves as individual decisions whether to move to other dwellings or to relocate businesses. Development and application of modeling techniques for the choice behavior of households and companies as entities, are main objectives in the research. The urban markets have a strong coherence for the spatial relations of each agent. Quantification of these relationships, by analyzing the transportation facilities, is important in analyzing the choice behavior of households and companies. This is why the transport system plays a central role in the urban model. For each subsystem an appropriate modeling technique has been selected, based on an exploration of available approaches in the literature and other research programs. Efforts are under way to collect and operationalize the extensive data necessary for the modeling task