Promoting walking and cycling as an alternative to using cars: systematic review
BMJ 2004; 329 doi: https://doi.org/10.1136/bmj.38216.714560.55 (Published 30 September 2004) Cite this as: BMJ 2004;329:763Data supplement
Methods for search, selection and assessment of primary studies
References to primary studies included in the review
[Posted as supplied by author]
Methods for search, selection and assessment of primary studies
Electronic sources searched
We searched the following electronic databases from their start dates to the end of 2002:
- ASSIA
- CINAHL
- Cochrane Library (CDSR and CCTR)
- Dissertation Abstracts
- Embase
- Geobase
- HMIC
- HELMIS
- IBSS
- Index to Theses
- Medline and PreMedline
- PapersFirst
- PsycInfo
- Regard
- Web of Science (SCI and SSCI)
- Sociological Abstracts
- SportDiscus
- Transport
Through quality-assured internet gateways in medicine (www.omni.ac.uk), social sciences (www.sosig.ac.uk) and engineering (www.eevl.ac.uk), we also identified and searched a purposive sample of sixteen transport-related websites that contained bibliographies or searchable databases of documents and represented a range of types of organisation, countries of origin and language of publication:
- US National Transportation Library (ntl.bts.gov)
- French Centre for the Study of Urban Planning Transportation and Public Facilities (www.certu.fr)
- European Local Transport Information Service (www.eltis.org/en/index.htm)
- Energie-Cités association of European local authorities (www.energie-cites.org)
- European Platform on Mobility Management (www.epommweb.org)
- International Bicycle Fund (www.ibike.org/bibliography/bike-policy.htm)
- US Transportation Research Board (www.nas.edu/trb)
- Nottingham School of the Built Environment (www.nottingham.ac.uk/sbe/planbiblios/index_A-D.html)
- Scottish Executive (www.scotland.gov.uk)
- Sustrans (www.sustrans.org)
- Norwegian Institute for Transport Economics (www.toi.no)
- UK Transport Research Laboratory (www.trl.co.uk)
- Swedish Road and Transport Research Institute (www.transguide.org)
- Danish Ministry of Transport (www.trm.dk and www.vd.dk)
- Centre for Transport Studies, University College London
(www.ucl.ac.uk/transport-studies) - Victoria Transport Policy Institute (www.vtpi.org/tdm)
- Mutrie N, Carney C, Blamey A, Crawford F, Aitchison
T, Whitelaw A. "Walk in to Work Out": a randomised controlled trial of a self
help intervention to promote active commuting. J Epidemiol Community Health
2002; 56: 407-12.
- Mutrie N, Carney C, Blamey A, Whitelaw A, Crawford F, Aitchison T. Can active commuting increase quality of life? Three-month results from a randomized control trial. J Sports Sci 2000; 18: 18-9.
- Department for Planning and Infrastructure. South Perth large scale evaluation report. Perth: Government of Western Australia, 2001.
- Ashton-Graham C, John G, James B, Brög W, Grey-Smith H. Increasing cycling through 'soft' measures (TravelSmart) — Perth, Western Australia. In: McClintock H, editor. Planning for cycling: principles, practice and solutions for urban planners. Cambridge: Woodhead, 2002.
- Department for Transport. A review of the effectiveness of personalised journey planning techniques. London: Department for Transport, 2002.
- James B, Brög W. Increasing walking trips through TravelSmart® Individualised Marketing. World Transport Policy Practice 2001; 7: 61-6.
- Socialdata Australia. Community survey and marketing campaign for the South Perth TravelSmart project: report of the second evaluation. Perth: Department for Planning and Infrastructure, Government of Western Australia, 1999.
- Socialdata Australia. Community survey and marketing campaign for the South Perth TravelSmart project: third evaluation report. Perth: Department for Planning and Infrastructure, Government of Western Australia, 2000.
- Department for Planning and Infrastructure. Travel behaviour change program for the city of South Perth under the TravelSmart program: technical appendix. Perth: Government of Western Australia, 2003.
- Sustrans. TravelSmart Frome pilot project. Bristol: Sustrans, 2002.
- Sustrans. TravelSmart Gloucester pilot project. Bristol: Sustrans, 2002.
- Lohmann-Hansen A, Lahrmann H. The BikeBus'ter project in Aarhus. Velo Australis International Bicycle Conference; 1996; Fremantle, Western Australia.
- Bunde J. The BikeBus'ters from Århus, Denmark: 'We'll park our cars for 200 years...'. In: Tolley R, editor. The greening of urban transport: planning for walking and cycling in European cities. 2nd edition. London: Wiley, 1997.
- European Commission DG VII. Walcyng: how to enhance walking and cycling instead of shorter car trips and to make these modes safer. Luxembourg: Office for Official Publications of the European Community, 1998.
- Perkins A, Giannakodakis G. The greenhouse abatement potential of travel behaviour change initiatives. Walkerville: Transport South Australia, 2001.
- Ampt L. Grass routes: from travel blending to living neighbourhoods. Traffic Eng Control 1999; 40: 475-8.
- Department for Transport. A review of the effectiveness of personalised journey planning techniques. London: Department for Transport, 2002.
- Rose G, Ampt E. Travel blending: an Australian travel awareness initiative. Transport Res D 2001; 6: 95-110.
- Rowland D, DiGuiseppi C, Gross M, Afolabi E, Roberts I. Randomised controlled trial of site specific advice on school travel patterns. Arch Dis Child 2003; 88: 8-11.
- Hodgson F, May T, Tight M, Conner M. Evaluation of the MIST travel awareness campaign: 2. The before-and-after study. Traffic Eng Control 1998; 39: 103-12.
- Alcott R, DeCindis M. Clean Air Force Campaign 1989-1990: programs, attitudes, and commute behavior changes. Transport Res Rec 1991; 1321: 34-44.
- Zvonkovic P. Lane Transit District "Curb your car" project: final report. Eugene, OR: Lane Transit District, 2001.
- Wilmink A, Hartman J. Evaluation of the Delft bicycle network plan: final summary report. The Hague: Ministry of Transport and Public Works, 1987.
- Anonymous. Evaluation of the Delft bicycle network: summary report of the before study. The Hague: Ministry of Transport and Public Works, 1986.
- Bovy P, Veeke P. Intensiteitspatronen voor en na realisering van het Delftse fietsrouteplan. In: Proceedings of Bijdragen Verkeerskundige Werkdagen; 1987.
- Bovy P. Wijzigingen verkeersintensiteiten door Delfts fietsrouteplan (1). Verkeerskunde 1988; 39: 54-8.
- Hartman J. The Delft bicycle network revisited. In: Tolley R, editor. The greening of urban transport: planning for walking and cycling in European cities. 2nd edition. Chichester: Wiley, 1997.
- Katteler H, Förg O, Brög W. Evaluatie fietsroutenetwerk Delft. Het verplaatsingsgedrag: vooronderzoek. Nijmegen: Instituut voor Toegepaste Sociologie, 1984.
- Katteler H, Förg O, Brög W. Evaluatie fietsroutenetwerk Delft: marges voor het fietsgebruik. Nijmegen: Instituut voor Toegepaste Sociologie, 1985.
- Louisse C, ten Grotenhuis D, van Vliet J. Evaluatie fietsroutenetwerk Delft: lessen en leergeld voor integraal stedelijk verkeersbeleid. In: Proceedings of Colloquium Vervoersplanologisch Speurwerk; 1994; Rotterdam. Amsterdam: CVS, 1994.
- Brög W, Erl E. Abschließender Bericht zum Modellvorhaben "Fahrradfreundliche Stadt". Teil A: Begleituntersuchung und übergreifende Aspekte. Texte 18/87. Berlin: Umweltbundesamt, 1987.
- Dammann F, Hänel K, Richard J. Abschließender Bericht zum Modellvorhaben "Fahrradfreundliche Stadt". Teil B: Fahrradverkehrsplanung in der Modellstadt Detmold. Berlin: Umweltbundesamt, 1987.
- Eichenauer M, Von Winning H, Streichert E. Abschließender Bericht zum Modellvorhaben "Fahrradfreundliche Stadt". Teil C: Fahrradverkehrsplanung in der Modellstadt Rosenheim. Berlin: Umweltbundesamt, 1987.
- Dean D. The Stockton cycle route after study (1986). Crowthorne: Transport Research Laboratory, 1993.
- Babtie Group. Urban street activity in 20 mph zones: final report. London: Department for Transport, Local Government and the Regions, 2001.
- Social Research Associates. Bypass demonstration project: further research and analysis in relation to attitudes to walking. Leicester: Social Research Associates, 1999.
- Barrell J, Robson C. The Bypass Demonstration Project: an overview. Traffic Eng Control 1995; 36: 398-403.
- Weisbrod G. Business and travel impacts of Boston's Downtown Crossing automobile-restricted zone. Transport Res Rec 1982; 882: 25-32.
- Algmin J. Boston's Downtown Crossing: its effects on downtown retailing. Transit J 1980; 6: 15-26.
- Weisbrod G, Loudon W, Pitschke S, Reid P, Rittenhouse B, Hazard H et al. Downtown Crossing: auto restricted zone in Boston (final report 1977-1980). Cambridge, MA: Cambridge Systematics, 1982.
- Shoup D. Evaluating the effects of cashing out employer-paid parking: eight case studies. Transport Policy 1997; 4: 201-16.
- Shoup D. Evaluating the effects of parking cash out: eight case studies. Sacramento, CA: Air Resources Board Research Division, California Environmental Protection Agency, 1997.
- Meland S. Road pricing in urban areas. The Trondheim toll ring – results from panel travel surveys. Trondheim: SINTEF Transport Engineering, 1994.
- Meland S. Generalised and advanced urban debiting innovations: the GAUDI project. 3: The Trondheim toll ring. Traffic Eng Control 1995; 36: 150-5.
- Cervero R, Creedman N, Pohan M, Pai M, Tsai Y-H. City CarShare: assessment of intermediate-term travel-behavior impacts. Berkeley, CA: University of California at Berkeley Institute of Urban and Regional Development, 2002.
- Cervero R, Creedman N, Pohan M, Pai M. City CarShare: assessment of short-term travel-behavior impacts. Berkeley, CA: Institute of Urban and Regional Development, University of California at Berkeley, 2002.
- Cervero R. City CarShare: first-year travel demand impacts. Berkeley, CA: Institute of Urban and Regional Development, University of California at Berkeley, 2002.
- Arentze T, Borgers A. Assessing urban context-induced change in individual activity travel patterns: case study of new railway station. Transport Res Rec 2001; 1752: 47-52.
- Mokhtarian P, Varma K. The trade-off between trips and distance traveled in analyzing the emissions impacts of center-based telecommuting. Transport Res D 1998; 3: 419-28.
- Vuori I, Oja P, Paronen O. Physically active commuting to work – testing its potential for exercise promotion. Med Sci Sports Exercise 1994; 26: 844-50.
- Oja P, Vuori I, Paronen O. Daily walking and cycling to work: their utility as health-enhancing physical activity. Patient Educ Couns 1998; 33 (1 Suppl): S87-94.
Search strategy for electronic databases
1. Use of cars
(automobile* OR auto use* OR car OR cars OR commut* OR congested OR congestion OR driver* OR mechanised transport* OR mechanized transport* OR motoring OR motorist OR motor* transport OR personal transport OR road use* OR traffic OR vehic*)
In Medline we added the MeSH headings transportation/ and motor vehicles/
AND
2. Use of physically active modes of transport
(active commut* OR active transport* OR bicycl* OR bike* OR biking OR cycle hire OR cycling OR cyclist* OR ecological commut* OR ecological transport* OR green* commut* OR green* transport* OR green travel* OR non-auto* OR non-motorised OR non-motorized OR pedestrian* OR physical* activ* OR walk*)
In non-biomedical databases we added the term cycle*
AND
3. Change in mode of transport
(((modal OR mode) AND (analys* OR analyz* OR choice* OR distribution OR effect* OR selection* OR shift* OR split* OR substitut* OR switch* OR transfer* OR transport* OR use*))
OR
((transport* OR travel) AND (behavio(u)r OR chang* OR demand* OR habit* OR impact* OR pattern* OR shift* OR substitut*))
OR
(decreas* OR discourag* OR disincentiv* OR encourag* OR incentiv* OR increas* OR intermodal distribution OR mode of transport OR promot* OR reduc* OR restrain* OR restrict*))
Study selection and assessment
We included experimental or observational evaluation studies, with a controlled or uncontrolled prospective design or a controlled retrospective design, that assessed the effects of any policy, programme or project applied to an identifiable urban population or area in an OECD member state by measuring outcomes in a sample of local households, residents, commuters, drivers or school pupils.
Because we sought population-level evidence, we excluded studies of interventions for individuals in clinical settings, studies of travel plans at single workplaces or schools, and studies based solely on people or vehicles visiting or passing through study locations.
We sought evidence of the following outcomes: changes in the distribution of transport mode choice between cars and walking and cycling; effects on any measure of human health, fitness, health-related behaviour or wellbeing; and the distribution of effects between social groups.
After obviously irrelevant titles had been sifted out by the lead reviewer, at least two reviewers independently screened all identified titles and abstracts. All references identified by any reviewer as relevant were retrieved in full text and assessed again against the inclusion criteria.
We drew on existing checklists10-12 to formulate ten common validity criteria that could be applied to all the study designs included. These reflected the main potential biases in epidemiological studies in general and some specific potential biases in assessing changes in transport behaviour.
The lead reviewer carried out detailed data extraction and critical appraisal, seeking clarification from authors or reporting agencies where necessary. Each study was checked by one other reviewer and any disagreements were resolved by discussion and re-examination of the documents.
[Posted as supplied by author] References to primary studies included in the review
Glasgow
- Mutrie N, Carney C, Blamey A, Crawford F, Aitchison
T, Whitelaw A. "Walk in to Work Out": a randomised controlled trial of a self
help intervention to promote active commuting. J Epidemiol Community Health
2002; 56: 407-12.
- Mutrie N, Carney C, Blamey A, Whitelaw A, Crawford F, Aitchison T. Can active commuting increase quality of life? Three-month results from a randomized control trial. J Sports Sci 2000; 18: 18-9.
Perth
- Department for Planning and Infrastructure. South Perth large scale evaluation report. Perth: Government of Western Australia, 2001.
- Ashton-Graham C, John G, James B, Brög W, Grey-Smith H. Increasing cycling through 'soft' measures (TravelSmart) — Perth, Western Australia. In: McClintock H, editor. Planning for cycling: principles, practice and solutions for urban planners. Cambridge: Woodhead, 2002.
- Department for Transport. A review of the effectiveness of personalised journey planning techniques. London: Department for Transport, 2002.
- James B, Brög W. Increasing walking trips through TravelSmart® Individualised Marketing. World Transport Policy Practice 2001; 7: 61-6.
- Socialdata Australia. Community survey and marketing campaign for the South Perth TravelSmart project: report of the second evaluation. Perth: Department for Planning and Infrastructure, Government of Western Australia, 1999.
- Socialdata Australia. Community survey and marketing campaign for the South Perth TravelSmart project: third evaluation report. Perth: Department for Planning and Infrastructure, Government of Western Australia, 2000.
- Department for Planning and Infrastructure. Travel behaviour change program for the city of South Perth under the TravelSmart program: technical appendix. Perth: Government of Western Australia, 2003.
Frome
- Sustrans. TravelSmart Frome pilot project. Bristol: Sustrans, 2002.
Gloucester
- Sustrans. TravelSmart Gloucester pilot project. Bristol: Sustrans, 2002.
Århus
- Lohmann-Hansen A, Lahrmann H. The BikeBus'ter project in Aarhus. Velo Australis International Bicycle Conference; 1996; Fremantle, Western Australia.
- Bunde J. The BikeBus'ters from Århus, Denmark: 'We'll park our cars for 200 years...'. In: Tolley R, editor. The greening of urban transport: planning for walking and cycling in European cities. 2nd edition. London: Wiley, 1997.
- European Commission DG VII. Walcyng: how to enhance walking and cycling instead of shorter car trips and to make these modes safer. Luxembourg: Office for Official Publications of the European Community, 1998.
Adelaide
- Perkins A, Giannakodakis G. The greenhouse abatement potential of travel behaviour change initiatives. Walkerville: Transport South Australia, 2001.
- Ampt L. Grass routes: from travel blending to living neighbourhoods. Traffic Eng Control 1999; 40: 475-8.
- Department for Transport. A review of the effectiveness of personalised journey planning techniques. London: Department for Transport, 2002.
- Rose G, Ampt E. Travel blending: an Australian travel awareness initiative. Transport Res D 2001; 6: 95-110.
Camden-Islington
- Rowland D, DiGuiseppi C, Gross M, Afolabi E, Roberts I. Randomised controlled trial of site specific advice on school travel patterns. Arch Dis Child 2003; 88: 8-11.
Maidstone
- Hodgson F, May T, Tight M, Conner M. Evaluation of the MIST travel awareness campaign: 2. The before-and-after study. Traffic Eng Control 1998; 39: 103-12.
Phoenix
- Alcott R, DeCindis M. Clean Air Force Campaign 1989-1990: programs, attitudes, and commute behavior changes. Transport Res Rec 1991; 1321: 34-44.
Eugene
- Zvonkovic P. Lane Transit District "Curb your car" project: final report. Eugene, OR: Lane Transit District, 2001.
Delft
- Wilmink A, Hartman J. Evaluation of the Delft bicycle network plan: final summary report. The Hague: Ministry of Transport and Public Works, 1987.
- Anonymous. Evaluation of the Delft bicycle network: summary report of the before study. The Hague: Ministry of Transport and Public Works, 1986.
- Bovy P, Veeke P. Intensiteitspatronen voor en na realisering van het Delftse fietsrouteplan. In: Proceedings of Bijdragen Verkeerskundige Werkdagen; 1987.
- Bovy P. Wijzigingen verkeersintensiteiten door Delfts fietsrouteplan (1). Verkeerskunde 1988; 39: 54-8.
- Hartman J. The Delft bicycle network revisited. In: Tolley R, editor. The greening of urban transport: planning for walking and cycling in European cities. 2nd edition. Chichester: Wiley, 1997.
- Katteler H, Förg O, Brög W. Evaluatie fietsroutenetwerk Delft. Het verplaatsingsgedrag: vooronderzoek. Nijmegen: Instituut voor Toegepaste Sociologie, 1984.
- Katteler H, Förg O, Brög W. Evaluatie fietsroutenetwerk Delft: marges voor het fietsgebruik. Nijmegen: Instituut voor Toegepaste Sociologie, 1985.
- Louisse C, ten Grotenhuis D, van Vliet J. Evaluatie fietsroutenetwerk Delft: lessen en leergeld voor integraal stedelijk verkeersbeleid. In: Proceedings of Colloquium Vervoersplanologisch Speurwerk; 1994; Rotterdam. Amsterdam: CVS, 1994.
Detmold-Rosenheim
- Brög W, Erl E. Abschließender Bericht zum Modellvorhaben "Fahrradfreundliche Stadt". Teil A: Begleituntersuchung und übergreifende Aspekte. Texte 18/87. Berlin: Umweltbundesamt, 1987.
- Dammann F, Hänel K, Richard J. Abschließender Bericht zum Modellvorhaben "Fahrradfreundliche Stadt". Teil B: Fahrradverkehrsplanung in der Modellstadt Detmold. Berlin: Umweltbundesamt, 1987.
- Eichenauer M, Von Winning H, Streichert E. Abschließender Bericht zum Modellvorhaben "Fahrradfreundliche Stadt". Teil C: Fahrradverkehrsplanung in der Modellstadt Rosenheim. Berlin: Umweltbundesamt, 1987.
Stockton
- Dean D. The Stockton cycle route after study (1986). Crowthorne: Transport Research Laboratory, 1993.
England (20 mph zones)
- Babtie Group. Urban street activity in 20 mph zones: final report. London: Department for Transport, Local Government and the Regions, 2001.
England (bypasses)
- Social Research Associates. Bypass demonstration project: further research and analysis in relation to attitudes to walking. Leicester: Social Research Associates, 1999.
- Barrell J, Robson C. The Bypass Demonstration Project: an overview. Traffic Eng Control 1995; 36: 398-403.
Boston
- Weisbrod G. Business and travel impacts of Boston's Downtown Crossing automobile-restricted zone. Transport Res Rec 1982; 882: 25-32.
- Algmin J. Boston's Downtown Crossing: its effects on downtown retailing. Transit J 1980; 6: 15-26.
- Weisbrod G, Loudon W, Pitschke S, Reid P, Rittenhouse B, Hazard H et al. Downtown Crossing: auto restricted zone in Boston (final report 1977-1980). Cambridge, MA: Cambridge Systematics, 1982.
California (cashing out)
- Shoup D. Evaluating the effects of cashing out employer-paid parking: eight case studies. Transport Policy 1997; 4: 201-16.
- Shoup D. Evaluating the effects of parking cash out: eight case studies. Sacramento, CA: Air Resources Board Research Division, California Environmental Protection Agency, 1997.
Trondheim
- Meland S. Road pricing in urban areas. The Trondheim toll ring – results from panel travel surveys. Trondheim: SINTEF Transport Engineering, 1994.
- Meland S. Generalised and advanced urban debiting innovations: the GAUDI project. 3: The Trondheim toll ring. Traffic Eng Control 1995; 36: 150-5.
San Francisco
- Cervero R, Creedman N, Pohan M, Pai M, Tsai Y-H. City CarShare: assessment of intermediate-term travel-behavior impacts. Berkeley, CA: University of California at Berkeley Institute of Urban and Regional Development, 2002.
- Cervero R, Creedman N, Pohan M, Pai M. City CarShare: assessment of short-term travel-behavior impacts. Berkeley, CA: Institute of Urban and Regional Development, University of California at Berkeley, 2002.
- Cervero R. City CarShare: first-year travel demand impacts. Berkeley, CA: Institute of Urban and Regional Development, University of California at Berkeley, 2002.
Voorhout
- Arentze T, Borgers A. Assessing urban context-induced change in individual activity travel patterns: case study of new railway station. Transport Res Rec 2001; 1752: 47-52.
California (telecommuting)
- Mokhtarian P, Varma K. The trade-off between trips and distance traveled in analyzing the emissions impacts of center-based telecommuting. Transport Res D 1998; 3: 419-28.
Tampere
- Vuori I, Oja P, Paronen O. Physically active commuting to work – testing its potential for exercise promotion. Med Sci Sports Exercise 1994; 26: 844-50.
- Oja P, Vuori I, Paronen O. Daily walking and cycling to work: their utility as health-enhancing physical activity. Patient Educ Couns 1998; 33 (1 Suppl): S87-94.
Criterion
Study
Adelaidew15-18
Bostonw38-40
California
(cashing out)w41 w42California (telecommuting)w49
Camden-Islingtonw19
Delftw23-30
Detmold-Rosenheimw31-33
England
(bypasses)w36 w37England
(20 mph zones)w35Eugenew22
Fromew10
Glasgoww1 w2
Gloucesterw11
Maidstonew20
Perthw3-9
Phoenixw21
San Franciscow45-47
Stocktonw34
Tamperew50 w51
Trondheimw43 w44
Voorhoutw48
Århusw12-14
Were "before" and "after" data obtained from the same, or comparable, groups or areas?
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
Were outcomes compared with an appropriate control group or area, and if so, were control data collected in a comparable way?
P
P
P
P
P
P
P
P
P
P
P
Were participants, groups or areas randomly allocated to receive the intervention or the control?
P
P
P
Was the study sample randomly recruited from the study population with a response rate of at least 40%, or otherwise shown to be representative of the study population?
P
P
P
P
P
P
P
P
P
P
P
P
Were the results based on a minimum sample size of at least 100 people in each group or wave?
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
Were outcomes studied in a cohort or panel of respondents with an attrition rate of less than 30%?
P
P
P
P
Were confidence intervals or the results of significance tests reported?
P
P
P
P
P
P
P
P
P
P
P
Did the assessment of transport behaviour consider more than one type of trip, or trips made over a period longer than one day or a "typical" day?
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
Were the effects of the intervention assessed at least three months after the start of the intervention?
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
Were "before" and "after" data collected at seasonally comparable times of the year, or if not, was the study a controlled study?
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
P
Number of criteria met
4
4
8
4
8
7
6
3
5
4
9
9
9
7
7
5
7
5
6
7
7
7
Study
Year
Intervention
Study population
Study design
Primary outcome
Adelaidew15-18
1998
Tailored feedback on travel diaries with suggestions on changing travel patterns, supported with customised information (Travel Blending)
Households living, working or visiting in two neighbourhoods of Adelaide
Uncontrolled prospective panel study
Reported frequency of, and time spent on, all trips in a seven-day travel diary by mode
Bostonw38-40
1978
Car restriction, subsidised bus services and pedestrianisation in central business district
Employees in city centre office buildings in Boston
Uncontrolled repeated cross-sectional study
Reported mode of journey to work on day before survey
California
(cashing out)w41 w42
1992
State legislation requiring employers with at least 50 staff to "cash-out" the cost of rented parking spaces
Employees at workplaces in urban South California
Controlled repeated cross-sectional study
Reported mode of all journeys to work over five consecutive days
California (telecommuting)w49
1993
Voluntary use of neighbourhood telecommuting centres as an alternative to commuting to their usual workplace
Registered users of telecommuting centres in California
Retrospective study using participants as their own controls
Reported mode of all trips recorded over two periods of three consecutive days
Camden-Islingtonw19
NR
Site-specific advice to participating schools from a school travel coordinator
Pupils in primary schools in two London boroughs
Cluster randomised controlled trial
Reported mode of journeys to school on one day
Delftw23-30
1982
Upgrading and increased connectivity (+3.3 km) of cycle route network
Households in suburbs of Delft
Controlled repeated cross-sectional study with nested panel study of a subset of respondents to both survey waves
Reported mode of all trips of residents aged 10 and over on one of a number of specified days covering all the days of the week
Detmold-Rosenheimw31-33
1981
Bicycle-friendly demonstration project in two towns, mainly consisting of planning and building improvements to cycle route network (+31 km, +13 km respectively)
Households in both towns
Controlled repeated cross-sectional study
Reported mode of all trips of residents aged 10 and over on one of a number of specified days covering all the days of the week
England
(bypasses)w36 w37
1992
Construction of bypasses, followed by a variety of traffic calming measures and enhanced walking or cycling facilities in each town centre
Residents of six small towns in England
Uncontrolled repeated cross-sectional study
Reported main mode of residents’ journeys to town centres
England
(20 mph zones)w35
1996
Construction of 20 mph (30 km/h) zones, enforced using a range of engineering measures
Residents of neighbourhoods in six towns in northern England
Uncontrolled repeated cross-sectional study
Stated change in travel patterns
Eugenew22
1994
Promotion of alternative transport modes through workplace transport coordinators and transport fairs, free bus passes, and rewards for staff using alternative modes
State employees in Oregon
Uncontrolled repeated cross-sectional study
Reported most commonly used mode for commuting
Fromew10
2001
Individualised marketing of alternative modes of transport to households showing an interest in using them (TravelSmart: see Perth)
Households in Frome
Controlled prospective panel study with common baseline dataset
Reported main mode of all household trips, expressed in terms of estimated trips per person per year by mode
Glasgoww1 w2
1998
Self-help pack to promote active commuting (Walk In to Work Out) containing written interactive materials based on the transtheoretical model of behaviour change, e.g. advice on choosing routes, personal safety, safe cycle storage, activity diary, map
Employees at three public sector organisations in Glasgow
Randomised controlled trial with intention-to-treat analysis
Reported time spent walking to work in seven-day recall physical activity diary, progression to higher stage of change, and prevalence of cycling
Gloucesterw11
2001
Individualised marketing of alternative modes of transport to households showing an interest in using them (TravelSmart: see Perth)
Households in a suburb of Gloucester
Controlled prospective panel study with common baseline dataset
Reported main mode of all household trips, expressed in terms of estimated trips per person per year by mode
Maidstonew20
1994
Campaign using mass media and community activities to raise awareness of alternative modes of transport
Households on trunk route corridors approaching Maidstone and Tunbridge Wells
Controlled repeated cross-sectional study
Reported frequency of all household trips in a typical week by mode
Perthw3-9
2000
Individualised marketing of alternative modes of transport to households showing an interest in using them (TravelSmart), using a tailored combination of e.g. public transport information, cycle route map, walking information booklet with motivational challenge chart, sometimes followed up with home visits
Households in South Perth and Victoria Park
Controlled repeated cross-sectional study of households using a mixture of survey sources to compile the baseline dataset, a combination of random and quota sampling for follow-up, and analysing outcomes in a sample representative of all local households irrespective of their interest or participation in the intervention
Reported main mode of all household trips, expressed in terms of estimated trips per person per year by mode
Phoenixw21
1988
Campaign using mass media and community activities to promote voluntary no-drive day
Drivers living in Maricopa County and commuting to work
Uncontrolled repeated cross-sectional study
Reported mode of all commuting journeys
San Franciscow45-47
NR
Neighbourhood-based car-sharing cooperative
Members and aspiring members in San Francisco
Controlled repeated cross-sectional study
Reported mode of all trips on any two days selected by the respondent
Stocktonw34
1985
New shared pedestrian and cycle route (4 km)
Secondary school pupils in Stockton
Partially-controlled repeated cross-sectional study
Reported usual mode of journey to school
Tamperew50 w51
NR
Participation in a trial of the effects of walking and cycling to work on physical fitness and blood lipids
Car or bus commuters in Tampere
Randomised controlled trial [no actual intervention to promote modal shift except for participation in trial]
None [included for health effects only]
Trondheimw43 w44
1991
Toll ring for motor vehicles inbound towards the city centre, Monday to Friday between 0600 and 1700
Households in Trondheim
Uncontrolled prospective panel study
Reported mode of all trips made by residents aged over 13 recorded in a one-day travel diary
Voorhoutw48
1997
Opening of a railway station in a commuter town for the first time
Households in Voorhout
Uncontrolled prospective panel study
Reported mode of (a) all activities and (b) work and school activities of residents aged over 12 on two consecutive days selected by the respondent
Århusw12-14
1995
"Inveterate motorists" invited to try to use bike and bus as much as possible in exchange for free bike, free bus pass and other accessories and information for one year (Bikebusters)
Car commuters in Århus
Uncontrolled prospective panel study
Reported mode of all weekday trips over one week
NR: not reported
Table C [Posted as supplied by author] Descriptive and primary outcome data for each study
Validity score
Study
Sample size a
Response
rate b
Follow up
rate c
Follow up
(months) d
Outcome measure
Findings e
Targeted behaviour change programmes
9
Glasgoww1 w2
102 commuters
89%
66%
6
Reported time spent walking to work in seven-day recall physical activity diary
Among those who had not walked to work at the start of the study, those in the intervention group (n=14) reported spending a significantly greater mean time per week walking to work than controls (n=12) (125 mins vs 61 mins)
There was also a significant increase in the reported mean time spent walking to work per week, in favour of the intervention group, among those who already walked to work (intervention group (n=61): 52 min to 79 min, control group (n=43) 50 min to 60 min)
Analysis of covariance (using logarithms) resulted in an estimated average relative increase in the time spent walking to work at six months, for someone given the intervention, of 1.93 (95% confidence interval 1.06 to 3.52) times any increase in walking time for a corresponding control who walked the same amount at baseline
Reported time spent cycling
There was no difference in the reported average weekly minutes spent cycling between cyclists in the intervention group (n=9) and control group (n=9)
Progression to higher stage of change
A significantly larger percentage of the intervention group (49%) had progressed to a higher stage of active commuting behaviour change compared with the control group (31%: difference 18% (95% confidence interval 5% to 32%). At 12 months, 25% of the intervention group had progressed to the "action" or "maintenance" stages (95% confidence interval 17% to 32%)
7
Perthw3-9
706 households
75%
NA
6
Reported main mode of all household trips, expressed in terms of estimated trips per person per year by mode extrapolated from a one-day travel survey
Intervention group: estimated absolute modal shift of +5.5% from a baseline of 13.9%. Changes in all mode shares were statistically significant whether using trips or persons as the denominator (walking: P<0.01 in either case; cycling: P<0.01 on trips, P<0.10 on persons; car driver: P<0.01 in either case; car passenger: P<0.01 on trips, P<0.10 on persons). Changes sustained at 18-month follow-up (but comparable control group data not shown)
Reported time spent walking and cycling
Estimated mean time spent walking increased from 10 to 13 minutes per person per day. Estimated mean time spent cycling increased from two to three minutes per person per day
Control group: estimated absolute modal shift of –2%. Based on reported proportions, the change in car share is likely to be significant (estimated 95% confidence intervalI: 0% to +6%) and the changes in walking and cycling shares are not f
9
Fromew10
749 households g
74%
80%
3
Reported main mode of all household trips, expressed in terms of estimated trips per person per year by mode extrapolated from a one-day travel survey
Estimated absolute modal shift of +3.6% from a baseline of 31.1% after adjustment for changes in control group. Decrease in car driver share of all trips was statistically significant (P<0.05)
9
Gloucesterw11
624 households g
66%
76%
3
Reported main mode of all household trips, expressed in terms of estimated trips per person per year by mode extrapolated from a one-day travel survey
Estimated absolute modal shift of +4.4% from a baseline of 28.7% after adjustment for changes in control group. Decrease in car driver share of all trips was statistically significant (P<0.05)
7
Århusw12-14
150 commuters
NR h
88%
11
Reported mode of all weekday trips over one week
Estimated absolute modal shift of +25.3% from a baseline of 18.4%. Insufficient data to judge statistical precision of results
6
Tamperew50 w51
35 commuters
NR
96%
2.5
None [included for health effects only]
4
Adelaidew15-18
403 households
NR h
35-50%
1
Reported frequency of, and time spent on, all trips in a seven-day travel diary by mode
Among households that participated in the intervention, there was an overall reduction in all trips of 8% and 11% in Dulwich and Christies Beach respectively. Car driver trips decreased by 10.2% and 14.6% respectively, and car passenger trips decreased by 9.4% and 8.6% respectively. Walking trips increased by 1.0% in Dulwich and decreased by 2.0% in Christies Beach. Time spent walking increased by 8.2% in Dulwich. Cycling trips decreased by 11.0% in Dulwich and increased by 20.9% in Christies Beach. Insufficient data to judge statistical precision of results
Agents of change and publicity campaigns
8
Camden-Islingtonw19
714 school pupils
85%
NA
14
Reported mode of journeys to school on one day
Pupils in intervention schools were more likely to travel to school by car (24.1% vs 22.5%) and less likely to walk to school (69.9% vs 71.0%) than pupils in control schools. There was no significant difference in the odds of a pupil travelling to school on foot, by bike or on public transport between intervention and control schools (odds ratios and 95% confidence intervals: unadjusted 0.98 (0.54, 1.76); adjusted for baseline characteristics 1.20 (0.81, 1.82); adjusted for baseline and other covariates 0.98 (0.61, 1.59)
7
Maidstonew20
761 households
20%
NA
24
Reported frequency of all household trips in a typical week by mode
Intervention area: average number of weekly journeys by car increased (12.74 to 12.82, NS), on foot decreased (5.02 to 4.95, NS), and by bike decreased (0.75 to 0.45, P<0.05)
Control area: average number of weekly journeys by car decreased (12.83 to 12.10, NS), on foot increased (6.72 to 6.85, NS), and by bike decreased (1.03 to 0.56, P<0.10)
5
Phoenixw21
701 drivers
NR
NA
7
Reported mode of all commuting journeys
Estimated absolute modal shift of +1% following the current year’s intervention from a baseline of 5% (+3.5% from a baseline of <2.5% when compared to the previous year’s baseline survey; a proportion of this shift occurred between the waves of the intervention). Based on reported proportions, the changes over the two year period for all modes are likely to be significant (estimated 95% confidence intervals: car –2% to –6%, walking +2% to +4%, cycling 0% to +2%), but for the current study year only the change in walking share is likely to be significant (estimated 95% confidence interval 0% to +2%) f
4
Eugenew22
263 commuters
NR
NA
9
Reported most commonly used mode for commuting
Estimated absolute modal shift of 0 from a baseline of 2-6% depending on area of residence. Insufficient data to judge statistical precision of results
Engineering measures
7
Delftw23-30
1937 households
Before: 68% After: NR
NA
36
Reported mode of all trips of residents aged 10 and over on one of a number of specified days covering all the days of the week
In the main intervention area, cycling share increased from 40% to 43% of all trips, the frequency of bike trips increased by 4% and the frequency of car trips did not change. A comparison of similar trips made by a sub-panel of respondents in the intervention area who participated in both survey waves (a sample described by authors as "biased", sample size not reported) found a positive modal shift of 0.6% of all trips from a baseline of 66.2%; 8.8% of cycling trips after the intervention had been shifted from other modes, of which 4.4% came from walking and 3.3% came from the car. In a secondary intervention area which received only improvements to the bike route to the city centre, cycling mode share increased from 38% to 39%. In the control area, the frequency of car trips increased by 15% and the frequency of bike trips did not change. Insufficient data to judge statistical precision of results.
6
Detmold-Rosenheimw31-33
Detmold:
583 households
Rosenheim:
598 households
Detmold: 53%
Rosenheim: 62%
NA
60
Reported mode of all trips of residents aged 10 and over on one of a number of specified days covering all the days of the week
Detmold: Estimated absolute modal shift of -7% (unadjusted) or –5% (adjusted for changes in age structure and car ownership) from a baseline of 41%. Insufficient data to judge statistical precision of results
Rosenheim: Estimated absolute modal shift of 0 (unadjusted and adjusted) from a baseline of 49%. Insufficient data to judge statistical precision of results
5
Stocktonw34
2946 school pupils
73%
NA
17
Reported usual mode of journey to school
Estimated absolute modal shift of –2% from a baseline of 81%. Based on reported proportions, the changes in car and cycling shares are likely to be significant (car: estimated 95% confidence interval +1% to +3%; bike: estimated 95% confidence interval –1% to –3%) and the change in walk share is not f
"Despite the overall decline in the numbers cycling to school, the schools within the ‘catchment area’ had cyclist percentages 2-6 times higher than those for the ‘control’ schools outside the catchment area (4 to 6% compared with 1-2%". The authors did not report a before-and-after comparison of cycling mode share in the notional intervention and control areas
5
England
(20 mph zones)w35
200-350 residents
in each of six zones
NR h
NR
12
Stated change in travel patterns
In three of the zones a "significant proportion" (27%, 11% and 9% respectively) of respondents in the 12-month follow-up survey said that the intervention had made them more likely to walk. However, after comparing the reported frequencies of actual journeys by purpose and mode before and after the intervention, the authors concluded that the introduction of the 20 mph zones did not appear to have influenced the frequency or purpose of walking or car trips. Respondents did not indicate any increase in cycle use following zone implementation
4
Bostonw38-40
5449 commuters
31%
NA
24
Reported mode of journey to work on day before survey
Estimated absolute modal shift of +0.3% to +0.9% from a baseline of 6.0%. i Based on reported proportions, the change in car share is likely to be significant (estimated 95% confidence interval –4% to –7%) and the change in walking share is not. f
3
England
(bypasses)w36 w37
1446 residents
NR
NA
12-28
Reported main mode of residents’ journeys to town centres
Estimated absolute modal shift of –3% from a baseline of 55%. Based on reported proportions, the change in walking share is likely to be significant (estimated 95% confidence interval 0% to –8%) and the changes in car and cycling shares are not f
Financial incentives
8
California
(cashing out)w41 w42
1694 commuters
>90%
NA
12-36
Reported mode of all journeys to work over five consecutive days
Intervention workplaces: estimated absolute modal shift of +1% from a baseline of 2.8%. Overall change in distribution between all modes was significant at each workplace separately (P<0.01)
Control workplace: estimated absolute modal shift of –1%. Overall change in distribution between all modes not significant (p>0.10)
7
Trondheimw43 w44
1900 households
77%
62%
12
Reported mode of all trips made by residents aged over 13 recorded in a one-day travel diary
Estimated absolute modal shift of –2.6% for all trips from a baseline of 35.9%. Insufficient data to judge statistical precision of this result
The mean number of reported daily trips per traveller decreased from 4.46 to 3.92 (-12.2%; P<0.05). Within this overall decrease, the percentage decreases in walking and cycling trips were greater than the decreases in car trips as driver and as passenger (-28.1%, -14.9%, -5.6% and –14.3% respectively). All decreases were statistically significant at P<0.01 except for that for car trips as driver, which was significant at P<0.05
The proportions of respondents who reported any walking or cycling trips decreased (walking –6.6%, P<0.01; cycling –2.6%, P<0.10)
Providing alternative services
7
San Franciscow45-47
247 car share club members
22%
NA
9
Reported mode of all trips on any two days selected by the respondent
Estimated absolute modal shift of 0 from a baseline of 48.4%. Based on reported proportions, the difference in combined walking and cycling shares between intervention and control groups is likely to be significant (estimated 95% confidence interval –4% to -13%) and the difference in car share is not f
Car and combined walking and cycling shares in both intervention and control groups increased between the "before" and "after" surveys: car share increased from a pooled baseline of 5.2% to 22.2% (intervention) and 22.8% (control), and the combined walking and cycling share increased from a pooled baseline of 36.1% to 39.8% (intervention) and 48.4% (control). Author’s analysis of journeys excluding journeys in car share club vehicles found that the differences in changes in private car, walking, and cycling shares between the intervention and control groups were not significant (p>0.10)
7
Voorhoutw48
197 households
56%
59%
12
Reported mode of (a) all activities and (b) work and school activities of residents aged over 12 on two consecutive days selected by the respondent
Estimated absolute modal shift of +5.0% for all activities (from a baseline of 42.1%) and +1.9% for work and school activities (from a baseline of 29.0%). Changes in overall distribution of mode choice for both activity categories were significant (P<0.001) j
4
California (telecommuting)w49
72 commuters
35%
NA
NA
Reported mode and distance of all trips recorded over two periods of three consecutive days
Estimated absolute modal shift of –0.2% from a baseline of 6.1% (statistical tests not reported). Absolute distance travelled by walking and cycling on telecommuting days was 24% lower than on control days k
NA: not applicable; NR: not reported; NS: reported as "not statistically significant"
a Sample size refers (in a controlled study) to the number followed up in the intervention group, or (in an uncontrolled study) to the number responding to the "before" or "after" survey wave, whichever was the smaller
b Response rate refers (in a panel study) to the response rate to the "before" wave of a survey, or (in a repeated cross-sectional study) to the response rate for the "before" or "after" survey wave, whichever was the smaller
c Follow-up rate refers to the proportion of participants in an experimental or panel study who completed the follow-up survey wave
d Follow-up period refers to the interval between the start of the intervention (or the "before" survey wave, if this was not reported) and the follow-up survey wave chosen for data extraction (the last wave, the most seasonally-appropriate wave or the wave at which the most relevant outcome data were collected)
e Where a baseline is cited for a modal shift, this is the combined mode share for walking and cycling before the start of the intervention
f Estimated 95% confidence intervals for difference between independent proportions based on published results
g Includes control group
h Incalculable due to complex and/or non-random method of recruitment
i Cycling share included "miscellaneous", therefore estimated effect size depends on assumptions made about this category
j Author confirms that any other modes included in his "slow mode" category are marginal
k Car share included vanpooling
Table D [Posted as supplied by author] Health effects of interventions
Category
Study
Effect sought
Findings
Targeted
Glasgoww1 w2
SF-36
The sample mean scores on three subscales of the SF-36 increased significantly (P<0.05) in the intervention group compared with the control group: mental health (from 72 to 76), vitality (from 57 to 64) and general health (from 71 to 76). There was no significant change in the sample mean scores on the other five subscales
Accidents
"There were no adverse effects noted from this intervention such as traffic accidents"
Targeted
Tamperew50 w51
Fitness
Mean walking speed for commuting journeys increased from 5.8 km/h to 6.2 km/h and the mean cycling speed increased from 17.6 km/h to 20 km/h
Net changes in intervention group compared with control group: maximal aerobic power and maximum treadmill time increased significantly (+4.5%, P=0.02 and +10.3%, P<0.001 respectively). Heart rate and blood lactate at submaximal standard work load decreased significantly (P=0.04 and P=0.002 respectively)
Blood lipids
HDL cholesterol increased (+5%, P=0.06); no significant change in total cholesterol or triglyceride concentrations
Weight
No changes in either group
Targeted
Århusw12-14
Blood pressure
Prevalence of "normal blood pressure" increased from 87% to 90%, prevalence of "high and slightly high blood pressure" decreased from 13% to 10%
Weight
No change in average weight overall (79 kg), but men lost an average of 200 g and women gained an average of 1 kg
Cholesterol
Prevalence of "normal" cholesterol level decreased from 66% to 61%; prevalence of "grey zone" cholesterol level increased from 18% to 23%; prevalence of "high" cholesterol level increased from 15% to 16%
Fitness
Prevalence of "poor" or "low" self-rated fitness decreased from 65% to 51%; prevalence of "average" self-rated fitness increased from 19% to 32%; prevalence of "good" or "high" self-rated fitness increased from 16% to 17%
Smoking
No change in smoking prevalence ("one third")
Health measures were assessed before and after the end of the project. No details of methods, participation rates or tests of statistical significance were reported
Engineering
Stocktonw34
Accidents
The absolute number of accidents to cyclists increased in both a notional catchment area for the cycle route and in a control area elsewhere in the town (catchment area: from 23 to 26; control area: from 34 to 46). No tests of statistical significance were reported. The authors reported a "statistically significant" shift in the distribution of all accidents from the catchment area to the control area
Engineering
England
(20 mph zones)w35
Community severance
"There is anecdotal evidence from discussions held with groups of residents in the two largest zones that it was easier to cross the main roads after the speed limits had been reduced to 20 mph… No increase in adult or child street activity has so far been apparent… the numbers [reporting that they talked to neighbours and friends in the street] did not change significantly"
Noise
"The majority of respondents felt that noise levels had stayed the same as a result of the introduction of the 20 mph zone. In the Warrington zone, where the most stringent measures have been introduced, almost three-quarters of those questioned three months after implementation felt that noise levels had been reduced"
Accidents
The mean annual number of accidents decreased in all zones by between 32% and 100%. The overall decrease was described as "significant" in the summary of results but no tests of statistical significance were reported
Engineering
England
(bypasses)w36 w37
Disturbance
The proportion of respondents who rated vibration, fumes and noise as "big problems" decreased from 8%, 13% and 9% (respectively) before the intervention to 4%, 5% and 4% after the intervention. No tests of statistical significance were reported
Accidents
The mean annual number of accidents decreased in all six towns. The annual number of accidents to pedestrians and cyclists decreased in five towns and increased in one town. No tests of statistical significance were reported
Table E [Posted as supplied by author] Social distribution of intervention effects
Category
Study
Reported findings
Evidence suggests positive
effects greater among
Targeted
Glasgoww1 w2
"There were no gender, age or distance to work effects… However, more women than men responded to the opportunity to be involved"
Females
Targeted
Perthw3-9
"There was a minor increase in the number of cyclists" [meaning that the increase in cycling trips was mostly the result of a larger number of bicycle trips per cyclist per day]. The intervention had no effect in the "not interested" group. The car share decreased in all age/sex groups studied, but particularly among women of working age (under 20: absolute decrease of 1% from a baseline share of 5%; males 20-60: absolute decrease of 3% from a baseline share of 38%; females 20-60: absolute decrease of 8% from a baseline share of 43%; over 60: absolute decrease of 2% from a baseline share of 14%)
Existing cyclists
Females of working age
Targeted
Fromew10
The car share decreased in all age/sex groups studied (under 20: absolute decrease of 1% from a baseline share of 11%; males 20-60: absolute decrease of 2% from a baseline share of 25%; females 20-60: absolute decrease of 2% from a baseline share of 34%; over 60: absolute decrease of 2% from a baseline share of 30%)
Targeted
Gloucesterw11
The car share decreased by in all age/sex groups studied (under 20: absolute decrease of 1% from a baseline share of 16%; males 20-60: absolute decrease of 3% from a baseline share of 39%; females 20-60: absolute decrease of 3% from a baseline share of 30%; over 60: absolute decrease of 1% from a baseline share of 15%)
Adults of working age
Targeted
Århusw12-14
There was a higher cycling mode share (and combined walking and cycling mode share) for men than for women at follow-up (combined shares approximately 53% and 49% respectively, estimated from graphs). Participants from households with more than one car had a lower cycling mode share (and combined walking and cycling mode share) than those from households with only one car (combined shares approximately 48% and 53% respectively, estimated from graphs). The authors also reported that "use of the bicycle increases with age; use of the bicycle is independent of income; use of the bicycle drops the larger the number of adults in the household" [data not reported]. The authors also reported a small negative modal shift in trips made by participants’ spouses, who now had greater access to the family car (estimated absolute shift of –4% from a baseline of 35%)
Males
Households with only one car
Older adults
Smaller households
Targeted
Adelaidew15-18
In stepwise logistic regression, household composition was shown to have a minor influence on the estimated reductions in vehicle emissions resulting from the intervention. The higher the proportion of retired persons in the household and the older the mean age for adults, the less the estimated reduction
Households without older adults
Engineering
Delftw23-30
"The increase of bicycle mobility cannot be ascribed to a larger number of people using the bicycle, but is the result of a larger number of bicycle trips per cyclist per day. This finding is consistent with the findings… that many non-cyclists are captive users of their modes… and do not have freedom of choice. Bicycle use by men increased more than that by women"
Existing cyclists
Males
Engineering
Detmold-Rosenheimw31-33
Modal shifts were stratified by age, sex, occupational group and bike and car ownership in both towns (in this analysis, the car mode share included motorised two-wheelers). In both towns, the modal shift was more positive (or less negative) among males, non-bike owners and car owners than among females, bike owners and non-car owners respectively. In Rosenheim, the modal shift was more negative among those aged over 65 compared with those in younger age groups, and among pensioners compared with those in other occupational groups.
Males
Non-bike owners
Car owners
People below retirement age
Engineering
Stocktonw34
Boys were more likely than girls to cycle to school, both before and after the intervention
Males
Engineering
England
(bypasses)w36 w37
The decrease in walking mode share was seen in both males and females (absolute decreases of 2% and 5% respectively), in adults both under and over the age of 60 (4% and 6% respectively), and in people with access to no car, one car, and more than one car (2%, 1% and 6% respectively)
Financial
California
(cashing out)w41 w42
The policy was said to have had a redistributive effect on income: some firms had previously offered higher parking subsidies to higher-paid employees, but after the intervention the benefits were offered at a flat rate to all employees
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