Operationalizing the concept of neighborhood: Application to residential location choice analysis

Guo, Jessica Y; Bhat, Chandra R.

doi:10.1016/j.jtrangeo.2005.11.001

Cited by 183 publications

(176 citation statements)

References 34 publications

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“…They recommend the combined utilization of two different spatial entities in order to capture the full range of spatial transformation processes. A final example is the research by Guo and Bhat (2007), which represented "neighbourhoods" in a residential location choice analysis. They used three alternative ways of operationalising the representation of residential neighbourhoods and recommended the best option based on their findings.…”

Section: Zoning Issues In Transport-related Spatial Analysis Modelsmentioning

confidence: 99%

Territorial cohesion impacts of high-speed rail under different zoning systems

Ortega

López

Monzón

2014

Journal of Transport Geography

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ARTICLE INFO ABSTRACT Keywords:High-speed rail (HSR) MAUP Zoning systems Accessibility indicators Territorial cohesion effects Large-scale transport infrastructure projects such as high-speed rail (HSR) produce significant effects on the spatial distribution of accessibility. These effects, commonly known as territorial cohesion effects, are receiving increasing attention in the research literature. However, there is little empirical research into the sensitivity of these cohesion results to methodological issues such as the definition of the limits of the study area or the zoning system. In a previous paper (Ortega et al., 2012), we investigated the influence of scale issues, comparing the cohesion results obtained at four different planning levels. This paper makes an additional contribution to our research with the investigation of the influence of zoning issues. We analyze the extent to which changes in the size of the units of analysis influence the measurement of spatial inequalities. The methodology is tested by application to the Galician (north-western) HSR corridor, with a length of nearly 670 km, included in the Spanish PEIT (Strategic Transport and Infrastructure Plan) 2005-2020. We calculated the accessibility indicators for the Galician HSR corridor and assessed their corresponding territorial distribution. We used five alternative zoning systems depending on the method of data representation used (vector or raster), and the level of detail (cartographic accuracy or cell size). Our results suggest that the choice between a vector-based and raster-based system has important implications. The vector system produces a higher mean accessibility value and a more polarized accessibility distribution than raster systems. The increased pixel size of raster-based systems tends to give rise to higher mean accessibility values and a more balanced accessibility distribution. Our findings strongly encourage spatial analysts to acknowledge that the results of their analyses may vary widely according to the definition of the units of analysis.

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Section: Zoning Issues In Transport-related Spatial Analysis Modelsmentioning

confidence: 99%

Territorial cohesion impacts of high-speed rail under different zoning systems

Ortega

López

Monzón

2014

Journal of Transport Geography

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“…Up until recent years, residential location has been commonly operationalized as aggregate units such as neighborhoods or traffic analysis zones (Guo and Bhat 2007). Although full enumerations of hundreds of these alternatives are undesirable, it remains, in some cases, computationally feasible.…”

Section: Residential Location Choicementioning

confidence: 99%

“…In the transportation-land use modeling context, there are a few recent contributions on residential mobility (e.g., Eluru et al 2009;Habib and Miller 2008) and a considerable list of current research on residential location (e.g., Chen et al 2008;Guevara and Ben-Akiva 2006;Guo and Bhat 2007;Lee et al 2010;Waddell forthcoming). Some studies have linked short-and medium-term travel-related behaviors with residential mobility (e.g., Clark and Withers 1999;Prillwitz et al 2006;Prillwitz et al 2007) while numerous others made similar connections with residential location (e.g., Ben-Akiva and Bowman 1998; Eliasson and Mattsson 2000;Krizek 2003;Krizek 2006;Ng 2008;Pinjari et al 2008a;Pinjari et al 2008b;Sermons and Koppelman 2001;Waddell et al 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Depending on the granularity of the location choices, the universal set of alternatives for a household looking to relocate can range from hundreds [e.g., neighborhoods or traffic analysis zones (Guo and Bhat 2007)] to hundreds of thousands [e.g., parcels or buildings (Lee et al 2010)]. Such large numbers are computationally infeasible and behaviorally unrealistic.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Residential mobility and location choice: a nested logit model with sampling of alternatives

2010

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Residential mobility and relocation choice are essential parts of integrated transportation and land use models. These decision processes have been examined and modeled individually to a great extent but there remain gaps in the literature on the underlying behaviors that connect them. Households may partly base their decision to move from or stay at a current location on the price and quality of the available alternatives. Conversely, households that are on the market for a new location may evaluate housing choices relative to their previous residence. How and the degree to which these decisions relate to each other are, however, not completely understood. This research is intended to contribute to the body of empirical evidence that will help answer these questions. It is hypothesized that residential mobility and location choice are related household decisions that can be modeled together using a two-tier hierarchical structure. This paper presents a novel nested logit (NL) model with sampling of alternatives and a proposed procedure for sampling bias correction. The model was estimated using fullinformation maximum likelihood estimation methods. The results confirm the applicability of this NL model and support similar findings from other empirical studies in the residential mobility and location choice literature.

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“…Another is for correlations in statistical models of spatially interacting processes like network flows and land uses. Recent applications in the field of transportation have been made in long-term land use models by Zhou et al [16] and in short-term location choice by Zhao & Bhat, Guo & Bhat [17], [18]. The work of Aerts et al [19] is an example of spatial autocorrelation analysis of incidents on networks.…”

Section: Congestion Incidence Prediction Modelsmentioning

confidence: 99%

Spatial econometrics models for congestion prediction with in-vehicle route guidance

Kaparias

Bell

2009

IET Intell. Transp. Syst.

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Online is checked for eligibility for copyright before being made available in the live archive. URLs from City Research Online may be freely distributed and linked to from other web pages. Permanent repository link Versions of researchThe version in City Research Online may differ from the final published version. Users are advised to check the Permanent City Research Online URL above for the status of the paper. EnquiriesIf you have any enquiries about any aspect of City Research Online, or if you wish to make contact with the author(s) of this paper, please email the team at publications@city.ac.uk.This paper is a postprint of a paper submitted to and accepted for publication in IET Intelligent Transport Systems and is subject to Institution of Engineering and Technology Copyright. ABSTRACTThis study explores the congestion dependence relationship among links using microsimulation, based on data from a real road network. The work is motivated by recent innovations to improve the reliability of Dynamic Route Guidance (DRG) systems. The reliability of DRG systems can be significantly enhanced by adding a function to predict the congestion in the road network. This paper also talks about the application of spatial econometrics modelling to congestion prediction, by using historical Traffic Message Channel (TMC) data stored in the vehicle navigation unit. The nature of TMC data is in the form of a time series of geo-referenced congestion warning messages which is generally collected from various traffic sources. The prediction of future congestion could be based on the previous year of TMC data. Synthetic TMC data generated by microscopic traffic simulation for the network of Coventry are used in this study. The feasibility of using spatial 2 econometrics modelling techniques to predict congestion is explored. Results are presented at the end.

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Operationalizing the concept of neighborhood: Application to residential location choice analysis

Cited by 183 publications

References 34 publications

Territorial cohesion impacts of high-speed rail under different zoning systems

Territorial cohesion impacts of high-speed rail under different zoning systems

Residential mobility and location choice: a nested logit model with sampling of alternatives

Spatial econometrics models for congestion prediction with in-vehicle route guidance

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