Examining the effects of neighbourhood design on walking in growing megacity

It is widely believed that neighbourhood design can play a role in promoting walking. However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijin...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Zhao, Pengjun [verfasserIn] Wan, Jie [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Neighbourhood design Walking Planned behaviour Multi-level model Urban planning

Übergeordnetes Werk:	Enthalten in: Transportation research / D - Amsterdam [u.a.] : Elsevier Science, 1996, 86
Übergeordnetes Werk:	volume:86

DOI / URN:	10.1016/j.trd.2020.102417

Katalog-ID:	ELV004626222

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520			\|a It is widely believed that neighbourhood design can play a role in promoting walking. However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijing. Three types of walking were investigated: commuting walking, living walking, and recreational walking. By analysing the data from 3748 questionnaires based on the conceptual framework of the TPB model, we found that walking behaviour is significantly related to neighbourhood design, as well as personal attitudes and preferences. High density, land use diversity, and walking-friendly street design can encourage walking. Those who have positive attitudes towards walking or residential preferences for walkable environments walked more, although these effects varied among commuting walking, living walking, and recreational walking. Walking for transportation, especially commuting walking, was less correlated with neighbourhood design elements.
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allfields	10.1016/j.trd.2020.102417 doi (DE-627)ELV004626222 (ELSEVIER)S1361-9209(20)30604-0 DE-627 ger DE-627 rda eng 380 DE-600 55.00 bkl 43.62 bkl Zhao, Pengjun verfasserin aut Examining the effects of neighbourhood design on walking in growing megacity 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is widely believed that neighbourhood design can play a role in promoting walking. However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijing. Three types of walking were investigated: commuting walking, living walking, and recreational walking. By analysing the data from 3748 questionnaires based on the conceptual framework of the TPB model, we found that walking behaviour is significantly related to neighbourhood design, as well as personal attitudes and preferences. High density, land use diversity, and walking-friendly street design can encourage walking. Those who have positive attitudes towards walking or residential preferences for walkable environments walked more, although these effects varied among commuting walking, living walking, and recreational walking. Walking for transportation, especially commuting walking, was less correlated with neighbourhood design elements. Neighbourhood design Walking Planned behaviour Multi-level model Urban planning Wan, Jie verfasserin aut Enthalten in Transportation research / D Amsterdam [u.a.] : Elsevier Science, 1996 86 Online-Ressource (DE-627)320599248 (DE-600)2019964-8 (DE-576)259485144 1879-2340 nnns volume:86 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 55.00 Technik der Verkehrsmittel Verkehrswesen: Allgemeines 43.62 Umweltbelastung durch Transport und Verkehr AR 86
spelling	10.1016/j.trd.2020.102417 doi (DE-627)ELV004626222 (ELSEVIER)S1361-9209(20)30604-0 DE-627 ger DE-627 rda eng 380 DE-600 55.00 bkl 43.62 bkl Zhao, Pengjun verfasserin aut Examining the effects of neighbourhood design on walking in growing megacity 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is widely believed that neighbourhood design can play a role in promoting walking. However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijing. Three types of walking were investigated: commuting walking, living walking, and recreational walking. By analysing the data from 3748 questionnaires based on the conceptual framework of the TPB model, we found that walking behaviour is significantly related to neighbourhood design, as well as personal attitudes and preferences. High density, land use diversity, and walking-friendly street design can encourage walking. Those who have positive attitudes towards walking or residential preferences for walkable environments walked more, although these effects varied among commuting walking, living walking, and recreational walking. Walking for transportation, especially commuting walking, was less correlated with neighbourhood design elements. Neighbourhood design Walking Planned behaviour Multi-level model Urban planning Wan, Jie verfasserin aut Enthalten in Transportation research / D Amsterdam [u.a.] : Elsevier Science, 1996 86 Online-Ressource (DE-627)320599248 (DE-600)2019964-8 (DE-576)259485144 1879-2340 nnns volume:86 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 55.00 Technik der Verkehrsmittel Verkehrswesen: Allgemeines 43.62 Umweltbelastung durch Transport und Verkehr AR 86
allfields_unstemmed	10.1016/j.trd.2020.102417 doi (DE-627)ELV004626222 (ELSEVIER)S1361-9209(20)30604-0 DE-627 ger DE-627 rda eng 380 DE-600 55.00 bkl 43.62 bkl Zhao, Pengjun verfasserin aut Examining the effects of neighbourhood design on walking in growing megacity 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is widely believed that neighbourhood design can play a role in promoting walking. However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijing. Three types of walking were investigated: commuting walking, living walking, and recreational walking. By analysing the data from 3748 questionnaires based on the conceptual framework of the TPB model, we found that walking behaviour is significantly related to neighbourhood design, as well as personal attitudes and preferences. High density, land use diversity, and walking-friendly street design can encourage walking. Those who have positive attitudes towards walking or residential preferences for walkable environments walked more, although these effects varied among commuting walking, living walking, and recreational walking. Walking for transportation, especially commuting walking, was less correlated with neighbourhood design elements. Neighbourhood design Walking Planned behaviour Multi-level model Urban planning Wan, Jie verfasserin aut Enthalten in Transportation research / D Amsterdam [u.a.] : Elsevier Science, 1996 86 Online-Ressource (DE-627)320599248 (DE-600)2019964-8 (DE-576)259485144 1879-2340 nnns volume:86 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 55.00 Technik der Verkehrsmittel Verkehrswesen: Allgemeines 43.62 Umweltbelastung durch Transport und Verkehr AR 86
allfieldsGer	10.1016/j.trd.2020.102417 doi (DE-627)ELV004626222 (ELSEVIER)S1361-9209(20)30604-0 DE-627 ger DE-627 rda eng 380 DE-600 55.00 bkl 43.62 bkl Zhao, Pengjun verfasserin aut Examining the effects of neighbourhood design on walking in growing megacity 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is widely believed that neighbourhood design can play a role in promoting walking. However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijing. Three types of walking were investigated: commuting walking, living walking, and recreational walking. By analysing the data from 3748 questionnaires based on the conceptual framework of the TPB model, we found that walking behaviour is significantly related to neighbourhood design, as well as personal attitudes and preferences. High density, land use diversity, and walking-friendly street design can encourage walking. Those who have positive attitudes towards walking or residential preferences for walkable environments walked more, although these effects varied among commuting walking, living walking, and recreational walking. Walking for transportation, especially commuting walking, was less correlated with neighbourhood design elements. Neighbourhood design Walking Planned behaviour Multi-level model Urban planning Wan, Jie verfasserin aut Enthalten in Transportation research / D Amsterdam [u.a.] : Elsevier Science, 1996 86 Online-Ressource (DE-627)320599248 (DE-600)2019964-8 (DE-576)259485144 1879-2340 nnns volume:86 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 55.00 Technik der Verkehrsmittel Verkehrswesen: Allgemeines 43.62 Umweltbelastung durch Transport und Verkehr AR 86
allfieldsSound	10.1016/j.trd.2020.102417 doi (DE-627)ELV004626222 (ELSEVIER)S1361-9209(20)30604-0 DE-627 ger DE-627 rda eng 380 DE-600 55.00 bkl 43.62 bkl Zhao, Pengjun verfasserin aut Examining the effects of neighbourhood design on walking in growing megacity 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier It is widely believed that neighbourhood design can play a role in promoting walking. However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijing. Three types of walking were investigated: commuting walking, living walking, and recreational walking. By analysing the data from 3748 questionnaires based on the conceptual framework of the TPB model, we found that walking behaviour is significantly related to neighbourhood design, as well as personal attitudes and preferences. High density, land use diversity, and walking-friendly street design can encourage walking. Those who have positive attitudes towards walking or residential preferences for walkable environments walked more, although these effects varied among commuting walking, living walking, and recreational walking. Walking for transportation, especially commuting walking, was less correlated with neighbourhood design elements. Neighbourhood design Walking Planned behaviour Multi-level model Urban planning Wan, Jie verfasserin aut Enthalten in Transportation research / D Amsterdam [u.a.] : Elsevier Science, 1996 86 Online-Ressource (DE-627)320599248 (DE-600)2019964-8 (DE-576)259485144 1879-2340 nnns volume:86 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 55.00 Technik der Verkehrsmittel Verkehrswesen: Allgemeines 43.62 Umweltbelastung durch Transport und Verkehr AR 86
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author	Zhao, Pengjun
spellingShingle	Zhao, Pengjun ddc 380 bkl 55.00 bkl 43.62 misc Neighbourhood design misc Walking misc Planned behaviour misc Multi-level model misc Urban planning Examining the effects of neighbourhood design on walking in growing megacity
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topic_title	380 DE-600 55.00 bkl 43.62 bkl Examining the effects of neighbourhood design on walking in growing megacity Neighbourhood design Walking Planned behaviour Multi-level model Urban planning
topic	ddc 380 bkl 55.00 bkl 43.62 misc Neighbourhood design misc Walking misc Planned behaviour misc Multi-level model misc Urban planning
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title	Examining the effects of neighbourhood design on walking in growing megacity
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title_full	Examining the effects of neighbourhood design on walking in growing megacity
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title_sort	examining the effects of neighbourhood design on walking in growing megacity
title_auth	Examining the effects of neighbourhood design on walking in growing megacity
abstract	It is widely believed that neighbourhood design can play a role in promoting walking. However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijing. Three types of walking were investigated: commuting walking, living walking, and recreational walking. By analysing the data from 3748 questionnaires based on the conceptual framework of the TPB model, we found that walking behaviour is significantly related to neighbourhood design, as well as personal attitudes and preferences. High density, land use diversity, and walking-friendly street design can encourage walking. Those who have positive attitudes towards walking or residential preferences for walkable environments walked more, although these effects varied among commuting walking, living walking, and recreational walking. Walking for transportation, especially commuting walking, was less correlated with neighbourhood design elements.
abstractGer	It is widely believed that neighbourhood design can play a role in promoting walking. However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijing. Three types of walking were investigated: commuting walking, living walking, and recreational walking. By analysing the data from 3748 questionnaires based on the conceptual framework of the TPB model, we found that walking behaviour is significantly related to neighbourhood design, as well as personal attitudes and preferences. High density, land use diversity, and walking-friendly street design can encourage walking. Those who have positive attitudes towards walking or residential preferences for walkable environments walked more, although these effects varied among commuting walking, living walking, and recreational walking. Walking for transportation, especially commuting walking, was less correlated with neighbourhood design elements.
abstract_unstemmed	It is widely believed that neighbourhood design can play a role in promoting walking. However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijing. Three types of walking were investigated: commuting walking, living walking, and recreational walking. By analysing the data from 3748 questionnaires based on the conceptual framework of the TPB model, we found that walking behaviour is significantly related to neighbourhood design, as well as personal attitudes and preferences. High density, land use diversity, and walking-friendly street design can encourage walking. Those who have positive attitudes towards walking or residential preferences for walkable environments walked more, although these effects varied among commuting walking, living walking, and recreational walking. Walking for transportation, especially commuting walking, was less correlated with neighbourhood design elements.
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title_short	Examining the effects of neighbourhood design on walking in growing megacity
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up_date	2024-07-06T23:37:34.239Z
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However, when personal attitudes and preferences as well as different types of walking are taken into account, research conclusions are still mixed. This paper provides new evidence by looking at the case of Beijing. Three types of walking were investigated: commuting walking, living walking, and recreational walking. By analysing the data from 3748 questionnaires based on the conceptual framework of the TPB model, we found that walking behaviour is significantly related to neighbourhood design, as well as personal attitudes and preferences. High density, land use diversity, and walking-friendly street design can encourage walking. Those who have positive attitudes towards walking or residential preferences for walkable environments walked more, although these effects varied among commuting walking, living walking, and recreational walking. 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Examining the effects of neighbourhood design on walking in growing megacity

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