The Experts below are selected from a list of 276 Experts worldwide ranked by ideXlab platform
John Preston - One of the best experts on this subject based on the ideXlab platform.
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The Impact of Transport Policy on Residential Location
Residential Location Choice, 2010Co-Authors: Francesca Pagliara, John Preston, Jae Hong KimAbstract:The objectives of this chapter are to assess the extent to which transport impacts on Residential Location decisions and hence on housing occupancy rates and house prices and to assess the extent to which transport policy decisions (such as road user charging, changes to fuel duties or the provision of light rapid transit systems) affect housing markets. This was achieved by undertaking two Stated Preference (SP) experiments in the Greater Oxford area. The aim of these experiments was to determine the key transport and Location factors that householders take into account when determining their Residential Location. These surveys suggested that householders place high values on transport times and costs but also value low density developments, access to high quality schools, low noise levels and developments in small towns/rural areas. Stated Preference data was used to develop a hedonic pricing (HP) model which suggested much lower impacts of travel time to work, housing density and school quality on house prices than the SP choice model. Nonetheless, validation tests indicated that the HP model provided more reliable forecasts of house prices than the SP model. The HP model was used to provide preliminary forecasts of the impact of transport improvements on house prices in the Greater Oxford area.
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Residential Location Choice - Residential Location Choice
Advances in Spatial Science, 2010Co-Authors: Francesca Pagliara, John Preston, David SimmondsAbstract:This chapter provides an overview of the history of modelling Residential Location choice. Models of Residential mobility typically have developed for illuminating the nature of Location choice at different territorial scales or as part of an integrated model of land-use and transport. The latter tend to be more comprehensive in nature, though certain other investigations do consider interactions of Location choice with other key decisions, such as work Location. Models presented in this book are described here briefly and are presented here according to three dimensions: theory and method, i.e. the modelling approach at the root of the model; categorisation of Residential decision makers; and treatment of space, i.e. continuous, zoning or cells.
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Residential Location choice
2010Co-Authors: Francesca Pagliara, John Preston, David SimmondsAbstract:This chapter provides an overview of the history of modelling Residential Location choice. Models of Residential mobility typically have developed for illuminating the nature of Location choice at different territorial scales or as part of an integrated model of land-use and transport. The latter tend to be more comprehensive in nature, though certain other investigations do consider interactions of Location choice with other key decisions, such as work Location. Models presented in this book are described here briefly and are presented here according to three dimensions: theory and method, i.e. the modelling approach at the root of the model; categorisation of Residential decision makers; and treatment of space, i.e. continuous, zoning or cells.
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Residential Location Choice - Models and Applications
2010Co-Authors: Francesca Pagliara, John Preston, David SimmondsAbstract:The effective planning of Residential Location choices is one of the great challenges of contemporary societies and requires forecasting capabilities and the consideration of complex interdependencies which can only be handled by complex computer models. This book presents a range of approaches used to model Residential Locations within the context of developing land-use and transport models. These approaches illustrate the range of choices that modellers have to make in order to represent Residential choice behaviour. The models presented in this book represent the state-of-the-art and are valuable both as key building blocks for general urban models, and as representative examples of complexity science.
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The Intention to Move and Residential Location Choice Behaviour
Urban Studies, 2005Co-Authors: Jae Hong Kim, Francesca Pagliara, John PrestonAbstract:This paper aims to quantify the extent to which transport and other factors impact on Residential decisions using Oxfordshire, UK, as a case study. It investigates the impacts of the current dwelling, household characteristics and alternative properties on the probability of moving. It also highlights the trade-off between access, space and other attributes in Residential Location choice. Particular emphasis is placed on assessing the impact of transport and Location-embedded amenities. A nested logit model is applied to estimate the indirect random utility functions of the intention to move and Residential Location choice based on stated preference data. The estimation results of the intentions to move model illustrate the impact of housing and household characteristics on the probability of moving. The estimation results of the Residential Location choice model quantify the trade-offs between transport, amenities and other factors.
Jae Hong Kim - One of the best experts on this subject based on the ideXlab platform.
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The Impact of Transport Policy on Residential Location
Residential Location Choice, 2010Co-Authors: Francesca Pagliara, John Preston, Jae Hong KimAbstract:The objectives of this chapter are to assess the extent to which transport impacts on Residential Location decisions and hence on housing occupancy rates and house prices and to assess the extent to which transport policy decisions (such as road user charging, changes to fuel duties or the provision of light rapid transit systems) affect housing markets. This was achieved by undertaking two Stated Preference (SP) experiments in the Greater Oxford area. The aim of these experiments was to determine the key transport and Location factors that householders take into account when determining their Residential Location. These surveys suggested that householders place high values on transport times and costs but also value low density developments, access to high quality schools, low noise levels and developments in small towns/rural areas. Stated Preference data was used to develop a hedonic pricing (HP) model which suggested much lower impacts of travel time to work, housing density and school quality on house prices than the SP choice model. Nonetheless, validation tests indicated that the HP model provided more reliable forecasts of house prices than the SP model. The HP model was used to provide preliminary forecasts of the impact of transport improvements on house prices in the Greater Oxford area.
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The Intention to Move and Residential Location Choice Behaviour
Urban Studies, 2005Co-Authors: Jae Hong Kim, Francesca Pagliara, John PrestonAbstract:This paper aims to quantify the extent to which transport and other factors impact on Residential decisions using Oxfordshire, UK, as a case study. It investigates the impacts of the current dwelling, household characteristics and alternative properties on the probability of moving. It also highlights the trade-off between access, space and other attributes in Residential Location choice. Particular emphasis is placed on assessing the impact of transport and Location-embedded amenities. A nested logit model is applied to estimate the indirect random utility functions of the intention to move and Residential Location choice based on stated preference data. The estimation results of the intentions to move model illustrate the impact of housing and household characteristics on the probability of moving. The estimation results of the Residential Location choice model quantify the trade-offs between transport, amenities and other factors.
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AN ANALYSIS OF Residential Location CHOICE BEHAVIOUR IN OXFORDSHIRE, UK: A COMBINED STATED PREFERENCE APPROACH
International Review of Public Administration, 2003Co-Authors: Jae Hong Kim, Francesca Pagliara, John PrestonAbstract:This paper proposes and applies a combined stated preference approach in order to estimate Residential Location choice behaviour in Oxfordshire, UK. The estimation results demonstrate the potentials for the combined estimation of two stated preference experiments. Our findings show that the transport related attributes have significant impacts on Residential Location choice. The estimated monetary values of one minute of commuting time and one pence of commuting cost are equivalent to £6,339 and £883 with regard to house price, while the estimated value of time is 7.18 pence per minute. Higher quality of school has a significantly positive effect, while higher density and central city Location have a significantly negative impact on Residential Location choice. The simulation results based on the model estimates suggest that the best Location for new housing development varies with commuting patterns, spatial job distribution, and the changes of attributes influencing Residential Location choice.
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Residential Location CHOICE BEHAVIOUR IN OXFORDSHIRE
2002Co-Authors: Francesca Pagliara, John Preston, Jae Hong KimAbstract:The effect of transport impacts on Residential Location decisions was investigated in Oxfordshire. Land Registry data indicated that there are three-fold differences in house prices among the different areas of Oxfordshire. A review of the literature indicated that households make significant trade-offs between transportation services and other public service factors in evaluating potential residences, but that the role of both in determining where people choose to live is small compared with the socio-economic and demographic factors. This suggests that the potential of most available public policies for altering Residential Location demad may be limited. 360 questionnaires were distributed in Oxfordshire via estate agents and further volunteers were recruited through local media. 93 usable replies were received equally divided between men and women. 68% of respondents lived in households without children. 44% had moved to Oxfordshire in the previous two years and 56% were established residents. The average house price was higher for non-movers than for movers, with non-movers having acquired a high position in the housing hierarchy. The majority of non-movers lived in villages and the majority of movers lived in new estates. Journey times to work and the supermarket were higher for movers than for non-movers. Willingness-to-pay for certain attributes of a Location was investigated. House price, travel time and cost to work were important factors influencing Residential Location choice. Low housing density, open space and ruarl areas were also preferred. School quality and noise levels were also important. Recent movers were likely to trade off increased travel time to work to achieve other desired Location factors.
Francesca Pagliara - One of the best experts on this subject based on the ideXlab platform.
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The Impact of Transport Policy on Residential Location
Residential Location Choice, 2010Co-Authors: Francesca Pagliara, John Preston, Jae Hong KimAbstract:The objectives of this chapter are to assess the extent to which transport impacts on Residential Location decisions and hence on housing occupancy rates and house prices and to assess the extent to which transport policy decisions (such as road user charging, changes to fuel duties or the provision of light rapid transit systems) affect housing markets. This was achieved by undertaking two Stated Preference (SP) experiments in the Greater Oxford area. The aim of these experiments was to determine the key transport and Location factors that householders take into account when determining their Residential Location. These surveys suggested that householders place high values on transport times and costs but also value low density developments, access to high quality schools, low noise levels and developments in small towns/rural areas. Stated Preference data was used to develop a hedonic pricing (HP) model which suggested much lower impacts of travel time to work, housing density and school quality on house prices than the SP choice model. Nonetheless, validation tests indicated that the HP model provided more reliable forecasts of house prices than the SP model. The HP model was used to provide preliminary forecasts of the impact of transport improvements on house prices in the Greater Oxford area.
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Residential Location Choice - Residential Location Choice
Advances in Spatial Science, 2010Co-Authors: Francesca Pagliara, John Preston, David SimmondsAbstract:This chapter provides an overview of the history of modelling Residential Location choice. Models of Residential mobility typically have developed for illuminating the nature of Location choice at different territorial scales or as part of an integrated model of land-use and transport. The latter tend to be more comprehensive in nature, though certain other investigations do consider interactions of Location choice with other key decisions, such as work Location. Models presented in this book are described here briefly and are presented here according to three dimensions: theory and method, i.e. the modelling approach at the root of the model; categorisation of Residential decision makers; and treatment of space, i.e. continuous, zoning or cells.
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Residential Location choice
2010Co-Authors: Francesca Pagliara, John Preston, David SimmondsAbstract:This chapter provides an overview of the history of modelling Residential Location choice. Models of Residential mobility typically have developed for illuminating the nature of Location choice at different territorial scales or as part of an integrated model of land-use and transport. The latter tend to be more comprehensive in nature, though certain other investigations do consider interactions of Location choice with other key decisions, such as work Location. Models presented in this book are described here briefly and are presented here according to three dimensions: theory and method, i.e. the modelling approach at the root of the model; categorisation of Residential decision makers; and treatment of space, i.e. continuous, zoning or cells.
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Residential Location Choice - Models and Applications
2010Co-Authors: Francesca Pagliara, John Preston, David SimmondsAbstract:The effective planning of Residential Location choices is one of the great challenges of contemporary societies and requires forecasting capabilities and the consideration of complex interdependencies which can only be handled by complex computer models. This book presents a range of approaches used to model Residential Locations within the context of developing land-use and transport models. These approaches illustrate the range of choices that modellers have to make in order to represent Residential choice behaviour. The models presented in this book represent the state-of-the-art and are valuable both as key building blocks for general urban models, and as representative examples of complexity science.
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the state of the art in building Residential Location models
In: Pagliara F and Preston J and Simmons D (eds.) Residential Location Choice: Models and Applications. (pp. 1-20). Springer: Berlin Heidelberg German, 2010Co-Authors: Francesca Pagliara, Alan WilsonAbstract:This chapter provides an overview of the history of modelling Residential Location choice. Models of Residential mobility typically have developed for illuminating the nature of Location choice at different territorial scales or as part of an integrated model of land-use and transport. The latter tend to be more comprehensive in nature, though certain other investigations do consider interactions of Location choice with other key decisions, such as work Location.
Petter Næss - One of the best experts on this subject based on the ideXlab platform.
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Residential Location transport rationales and daily life travel behaviour the case of hangzhou metropolitan area china
Progress in Planning, 2013Co-Authors: Petter NæssAbstract:Abstract Several studies of relationships between urban land use and travel have shown correlations between daily-life travel behaviour and the Location of the dwelling. However, in order to substantiate that Residential Location is a (contributory) cause of such differences, we must show the basic mechanisms by which the Location of dwellings influences travel behaviour. Examples showing the rationales on which people base their frequency of participation in out-of-home activities, the Location of these activities, the modes of travel used to reach these Locations, and the routes followed make up important elements in this endeavour. Based on qualitative interviews carried out as part of a comprehensive study of Residential Location and travel in Hangzhou Metropolitan Area, China, this article seeks to show how various types of rationales for activity participation, Location of activities, travel modes and route choice tend to strengthen or weaken aggregate-level relationships between Residential Location and travel. In particular, the influences of such rationales on the relative importance of Residential Location close to the main city centre and local centres, respectively, will be demonstrated. The tendency of inhabitants in modern cities to emphasise the possibility of choosing among facilities rather than proximity means that the amount of travel is influenced to a higher extent by the Location of the residence in relation to concentrations of facilities, rather than the distance to the closest single facility within a category. Daily travelling distances therefore tend to be more influenced by the distance from the dwelling to the city's main concentration of facilities (usually the inner-city) than by its distance to local centres. The same applies to the travel modes chosen, where rationales concerning physical efforts, time-saving and flexibility motivate inner-city dwellers for more frequent use of non-motorised modes and fewer trips by car than among suburbanites.
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Urban Structure Matters: Residential Location, Car Dependence and Travel Behaviour
2006Co-Authors: Petter NæssAbstract:Preface List of Figures List of Tables 1. Why is Knowledge about Urban Form and Travel Needed? 2. Urban Structures as Contributory Causes of Travel Behavior - A Theoretical Perspective 3. The Case of Copenhagen Metropolitan Area - Context and Research Methods 4. The "Car Tires" and the "Bike Hub": Typical Mobility Patterns in Different Parts of the Metropolitan Area 5. How does Urban Structure Motivate Daily-Life Travel Behavior? - Examples from Qualitative Interviews 6. Which Relationships Exist between Residential Location and Travel Behavior after Controlling for Demographic, Socioeconomic and Attitudinal Factors? 7. How does Residential Location Influence Location of Activities, Trip Lengths, Activity Participation and Travel Time? 8. Are there Additional, Indirect Effects of Residential Location on Travel? 9. Does Residential Location Influence Daily-Life Travel Differently among Different Population Groups? 10. Are Short Daily Trips Compensated by Higher Leisure Mobility? 11. Conclusions from the Copenhagen Metropolitan Area Study 12. Urban Form and Travel Behavior - A Wider Sustainability Perspective 13. Planning for a Sustainable and less Car-Dependent Urban Development References Appendix: The Independent Variables Included in Most of the Multivariate Analyses of the Main Survey Index Notes
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accessibility activity participation and Location of activities exploring the links between Residential Location and travel behaviour
Urban Studies, 2006Co-Authors: Petter NæssAbstract:By investigating relationships between Residential Location and the availability of facilities, Location of activities, trip distances, activity participation and trip frequencies, this paper seeks to contribute to a more detailed and nuanced understanding of the relationships between Residential Location and the amount of daily-life travel in an urban region. The empirical data are from a comprehensive study of Residential Location and travel in Copenhagen Metropolitan Area. Differences between inner- and outer-area residents in activity frequencies and trip frequencies are modest and partly outweigh each other. However, differences in trip distances due to the Location of the dwelling relative to concentrations of facilities translate into substantially longer total travelling distances among suburbanites than among inner-city residents.
Frank Witlox - One of the best experts on this subject based on the ideXlab platform.
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Do changes in the Residential Location lead to changes in travel attitudes? A structural equation modeling approach
Transportation, 2020Co-Authors: Jonas De Vos, Long Cheng, Frank WitloxAbstract:Numerous studies have found that travel attitudes might not only affect travel behavior, but also the Residential Location choice as people might choose a Residential Location based on their travel preferences and needs (i.e. transport-related Residential self-selection). However, it might also be possible that the Residential Location and travel behavior influence attitudes towards travel. In this study—using quasi-longitudinal data—we analyze how a change in the Residential environment affects attitudes towards specific modes, both directly and indirectly through changes in mode frequency (of commute and leisure trips). Using a structural equation modeling approach on 1650 recently relocated residents in the city of Ghent, Belgium, this study indicates that moving to a more urban type of neighborhood improves attitudes towards public transport and active travel. Especially for leisure trips the effects from changes in the built environment on attitudes are partly indirect through changes in mode frequency. This study offers new insights into the links between the built environment, travel behavior and attitudes. We provide further evidence that the built environment influences travel attitudes, but also indicate that these effects are partly mediated by travel mode frequency.
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Do Residential Location effects on travel behavior differ between the elderly and younger adults
Transportation Research Part D: Transport and Environment, 2019Co-Authors: Long Cheng, Jonas De Vos, Kunbo Shi, Min Yang, Xuewu Chen, Frank WitloxAbstract:Abstract The built environment affects individuals’ travel behavior in a variety of dimensions, such as trip generation, mode choice, and travel duration. However, it is not well understood how these effects differ across different socioeconomic groups (e.g. the elderly versus younger adults) and how Residential self-selection contributes to these differences. Using the 2013 Nanjing (China) Travel Survey data, this study estimates the differential responsiveness to the variation in Residential Location for different age groups. The two-step clustering method is applied to characterize two types of Residential Locations and the propensity score matching approach is utilized to address self-selection effects. We find that, after control for self-selection, Residential Location effects on travel behavior differ significantly between the elderly (60+ years old) and younger respondents (18–59 years old). Changes in the living environment play a more important role in influencing the elderly’s travel frequency and travel duration than those of younger adults. When we compare the observed effects of Residential Location, self-selection effects are modest for the elderly while they matter to a great extent for younger adults. In addition, due to differences in Residential self-selection, there is an underestimation of Residential Location effects on the elderly’s travel behavior versus an overestimation of those for younger adults. These findings indicate that overlooking the variation of built environment effects between different age groups may lead to ineffective housing and transportation policy implications.
