2005
DOI: 10.1016/j.jtrangeo.2004.07.002
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Monitoring rural travel behaviour: a longitudinal study in Northern Ireland 1979–2001

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Cited by 46 publications
(34 citation statements)
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“…Certain types of regions (rural, city, small-town, suburban) may also be considered, given their distinctive socio-economic conditions, specic as to the level of and demand for spatial mobility. In this context, the studies by Pucher and Renne (2005) or Nutley (2005) state that the need for higher mobility is a characteristic feature of non-urban areas, as the people living in them are forced to satisfy their common everyday needs, as a rule, in towns and cities that are further away. Similarly increased demand for mobility is newly exhibited by the suburban areas where the people, in some cases, have to rely on services and other socio-economic activities located in the central towns.…”
Section: Introductionmentioning
confidence: 99%
“…Certain types of regions (rural, city, small-town, suburban) may also be considered, given their distinctive socio-economic conditions, specic as to the level of and demand for spatial mobility. In this context, the studies by Pucher and Renne (2005) or Nutley (2005) state that the need for higher mobility is a characteristic feature of non-urban areas, as the people living in them are forced to satisfy their common everyday needs, as a rule, in towns and cities that are further away. Similarly increased demand for mobility is newly exhibited by the suburban areas where the people, in some cases, have to rely on services and other socio-economic activities located in the central towns.…”
Section: Introductionmentioning
confidence: 99%
“…Becker and Gerike [76] have mentioned that actual accessibility measures, measure the opportunities that are actually reached-in contrast to potential accessibility, which measures the opportunities that could be reached. Different dimensional indicators have been used in the literature to measure participation in activities including count (e.g., number of trips, number of unique activity locations visited) [41,84,146,147], frequency of participation (e.g., number of trips per week or per day) [7,143,148], duration of participation (activity duration) [41,121,148], and types of opportunities participated in [41,148].…”
Section: Participation-based Measuresmentioning
confidence: 99%
“…Using count-based measures, although the number of trips is frequently used as an indicator of participation in society [147], Schönfelder and Axhausen [84] have mentioned that much of the individuals trips are associated with one or few locations and can act only as a proxy measure. As a result, the number of unique activity locations visited by an individual has been used as an indicator Therefore, it appears that the operationalised examples of personal mobility-based measures using the concept of activity spaces overcome some of the identified weaknesses of the traditional mobility-based measures such as socioeconomic (e.g., male, female, disabled, and children) disaggregation, and spatio-temporal disaggregation of the availability/use of transport services.…”
Section: Participation-based Measuresmentioning
confidence: 99%
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“…Porter (2013) melihat adanya dampak layanan transportasi perdesaan di Africa yang didominasi oleh penggunaan kendaraan tidak bermotor terhadap peningkatan kesejahteraan masyarakat meskipun muncul kendala yang dihadapi sebagian masyarakat yang tidak memiliki akses ke layanan kendaraan bermotor atau angkutan umum. Sementara itu, perkembangan layanan transportasi perdesaan di negara-negara maju memunculkan 'car culture' (Nutley, 2005) dan berdampak pada berkembangnya eksklusi sosial (Halden, 2002) serta perubahan karakter pergerakan masyarakat. Dari fakta di atas, memunculkan pertanyaan "Bagaimanakah perkembangan layanan transportasi perdesaan di Indonesia, khususnya di wilayah berbukit dan bagaimana dampak perkembangan tersebut terhadap karakter layanan transportasi?…”
Section: Pengantarunclassified