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Article: A new methodology for calibrating the Lowry model

TitleA new methodology for calibrating the Lowry model
Authors
Issue Date1998
PublisherAmerican Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/up.html
Citation
Journal Of Urban Planning And Development, 1998, v. 124 n. 2, p. 72-91 How to Cite?
AbstractA government-funded research project was initiated to investigate the suitability and potential benefit of applying land use forecasting models in Hong Kong. Part of the project involves the development of a new technique for calibrating a Lowry model, using Hong Kong as a case study. The model contains, for each zone, a population and an employment potential that measure the relative attractiveness of the zone in the study area with respect to residents' choice of home locations and business setup (which generates employment opportunities), respectively. The calibration procedure comprises three stages. In the first stage, a genetic algorithm is employed to calibrate the population and employment potentials, together with a coefficient associated with the travel impedance function in the study area. The second stage investigates the relationships between the calibrated potentials and various land use variables, using a multivariate stepwise regression analysis. The significant land use variables are identified and equations relating these variables to the potentials are established. The third stage is model validation. A considerable error is accumulated after the first two stages of the model calibration. Since the applicability of the model is largely dependent on its level of accuracy, fine-tuning the model parameters is required to further minimize the discrepancy between the observed and the modeled distributions of the population and employment. A case study in Hong Kong is presented to illustrate the effectiveness of the proposed methodology. | A government-funded research project was initiated to investigate the suitability and potential benefit of applying land use forecasting models in Hong Kong. Part of the project involves the development of a new technique for calibrating a Lowry model, using Hong Kong as a case study. The model contains, for each zone, a population and an employment potential that measure the relative attractiveness of the zone in the study area with respect to residents' choice of home locations and business setup (which generates employment opportunities), respectively. The calibration procedure comprises three stages. In the first stage, a genetic algorithm is employed to calibrate the population and employment potentials, together with a coefficient associated with the travel impedance function in the study area. The second stage investigates the relationships between the calibrated potentials and various land use variables, using a multivariate stepwise regression analysis. The significant land use variables are identified and equations relating these variables to the potentials are established. The third stage is model validation. A considerable error is accumulated after the first two stages of the model calibration. Since the applicability of the model is largely dependent on its level of accuracy, fine-tuning the model parameters is required to further minimize the discrepancy between the observed and the modeled distributions of the population and employment, A case study in Hong Kong is presented to illustrate the effectiveness of the proposed methodology.
Persistent Identifierhttp://hdl.handle.net/10722/70879
ISSN
2015 Impact Factor: 2.246
2015 SCImago Journal Rankings: 0.619
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWong, CKen_HK
dc.contributor.authorWong, SCen_HK
dc.contributor.authorTong, COen_HK
dc.date.accessioned2010-09-06T06:26:56Z-
dc.date.available2010-09-06T06:26:56Z-
dc.date.issued1998en_HK
dc.identifier.citationJournal Of Urban Planning And Development, 1998, v. 124 n. 2, p. 72-91en_HK
dc.identifier.issn0733-9488en_HK
dc.identifier.urihttp://hdl.handle.net/10722/70879-
dc.description.abstractA government-funded research project was initiated to investigate the suitability and potential benefit of applying land use forecasting models in Hong Kong. Part of the project involves the development of a new technique for calibrating a Lowry model, using Hong Kong as a case study. The model contains, for each zone, a population and an employment potential that measure the relative attractiveness of the zone in the study area with respect to residents' choice of home locations and business setup (which generates employment opportunities), respectively. The calibration procedure comprises three stages. In the first stage, a genetic algorithm is employed to calibrate the population and employment potentials, together with a coefficient associated with the travel impedance function in the study area. The second stage investigates the relationships between the calibrated potentials and various land use variables, using a multivariate stepwise regression analysis. The significant land use variables are identified and equations relating these variables to the potentials are established. The third stage is model validation. A considerable error is accumulated after the first two stages of the model calibration. Since the applicability of the model is largely dependent on its level of accuracy, fine-tuning the model parameters is required to further minimize the discrepancy between the observed and the modeled distributions of the population and employment. A case study in Hong Kong is presented to illustrate the effectiveness of the proposed methodology. | A government-funded research project was initiated to investigate the suitability and potential benefit of applying land use forecasting models in Hong Kong. Part of the project involves the development of a new technique for calibrating a Lowry model, using Hong Kong as a case study. The model contains, for each zone, a population and an employment potential that measure the relative attractiveness of the zone in the study area with respect to residents' choice of home locations and business setup (which generates employment opportunities), respectively. The calibration procedure comprises three stages. In the first stage, a genetic algorithm is employed to calibrate the population and employment potentials, together with a coefficient associated with the travel impedance function in the study area. The second stage investigates the relationships between the calibrated potentials and various land use variables, using a multivariate stepwise regression analysis. The significant land use variables are identified and equations relating these variables to the potentials are established. The third stage is model validation. A considerable error is accumulated after the first two stages of the model calibration. Since the applicability of the model is largely dependent on its level of accuracy, fine-tuning the model parameters is required to further minimize the discrepancy between the observed and the modeled distributions of the population and employment, A case study in Hong Kong is presented to illustrate the effectiveness of the proposed methodology.en_HK
dc.languageengen_HK
dc.publisherAmerican Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/up.htmlen_HK
dc.relation.ispartofJournal of Urban Planning and Developmenten_HK
dc.rightsJournal of Urban Planning and Development. Copyright © American Society of Civil Engineers.en_HK
dc.titleA new methodology for calibrating the Lowry modelen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0733-9488&volume=124&spage=72 &epage= 91&date=1998&atitle=A+new+methodology+for+calibrating+the+Lowry+Modelen_HK
dc.identifier.emailWong, SC:hhecwsc@hku.hken_HK
dc.identifier.emailTong, CO:cotong@hku.hken_HK
dc.identifier.authorityWong, SC=rp00191en_HK
dc.identifier.authorityTong, CO=rp00178en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1061/(ASCE)0733-9488(1998)124:2(72)en_HK
dc.identifier.scopuseid_2-s2.0-0032104726en_HK
dc.identifier.hkuros32032en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032104726&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume124en_HK
dc.identifier.issue2en_HK
dc.identifier.spage72en_HK
dc.identifier.epage91en_HK
dc.identifier.isiWOS:000073735500002-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridWong, CK=24475830600en_HK
dc.identifier.scopusauthoridWong, SC=24323361400en_HK
dc.identifier.scopusauthoridTong, CO=7202715087en_HK

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