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Job accessibility and joint household travel: a study of Hong Kong with a particular focus on new town residents

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Abstract

This study advances understanding of the role of residential location in joint household travel and activities for non-work purposes in an Asian city context. This has been done by investigating the relationship between job accessibility, and the undertaking and duration of joint travel and activities of multi-person households in Hong Kong. Particular attention was given to the difference between new town and urban-area commuters who experienced marked different levels of job accessibility as a result of their residential locations. Drawing on the 2011 household travel survey, a suite of multivariable analysis was carried out. The findings highlight that: (1) longer working hours were associated with a lower probability of joint household travel and activities for new town and urban-area commuters alike; (2) longer commute and working hours significantly reduced the time window for joint household activities; (3) and job accessibility played a more important role in affecting the opportunities for discretionary joint household activities among new town commuters than urban-area commuters. The implications of these findings can be used to inform policymaking to increase the opportunities and time window for joint household travel and activities among new town commuters. Potential avenues for future research are also identified.

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Notes

  1. For more detailed explanation of this method, readers are referred to Firth (1993) and Heinze and Puhr (2008).

  2. For a detailed description of SEM and the math behind readers are referred to Byrne (2013) and Golob (2003).

  3. We have also experimented with zero-inflated Poisson and Negative Binomial SEM, which did not result in good model-fit.

  4. We have also summarised working hours and overlap time windows for some public transport commuters who did not make any non-commute trips. Compared to Group 1, this group was also associated with longer working hours and markedly shorter time windows. The results, based on a relatively small sample size (i.e., N = 100), can be obtained from the authors upon request.

References

  • Abendroth, A.K., Den Dulk, L.: Support for the work-life balance in Europe: the impact of state, workplace and family support on work-life balance satisfaction. Work Employ. Soc. 25(2), 234–256 (2011)

    Google Scholar 

  • Bradley, M., Vovsha, P.: A model for joint choice of daily activity pattern types of household members. Transportation 32(5), 545–571 (2005)

    Google Scholar 

  • Boarnet, M., Crane, R.: The influence of land use on travel behavior: specification and estimation strategies. Transp. Res. Part A: Policy Pract. 35(9), 823–845 (2001)

    Google Scholar 

  • Byrne, B.M.: Structural Equation Modeling with EQS: Basic Concepts, Applications, and Programming. Routledge, New York (2013)

    Google Scholar 

  • Cervero, R.: Planned communities, self-containment and commuting: a cross-national perspective. Urban Stud. 32(7), 1135–1161 (1995)

    Google Scholar 

  • Chen, C., Mokhtarian, P.L.: Tradeoffs between time allocations to maintenance activities/travel and discretionary activities/travel. Transportation 33(3), 223–240 (2006)

    Google Scholar 

  • Civil Engineering and Development Department: New Towns, New Development Areas and Urban Developments (2018)

  • Cui, B., Boisjoly, G., El-Geneidy, A., Levinson, D.: Accessibility and the journey to work through the lens of equity. J. Transp. Geogr. 74, 269–277 (2019)

    Google Scholar 

  • Dijst, M., Vidakovic, V.: Travel time ratio: the key factor of spatial reach. Transportation 27(2), 179–199 (2000)

    Google Scholar 

  • Fan, Y., Allen, R., Sun, T.: Spatial mismatch in Beijing, China: Implications of job accessibility for Chinese low-wage workers. Habitat Int. 44, 202–210 (2014)

    Google Scholar 

  • Firth, D.: Bias reduction of maximum likelihood estimates. Biometrika 80(1), 27–38 (1993)

    Google Scholar 

  • Fu, X., Lam, W.H.: Modelling joint activity-travel pattern scheduling problem in multi-modal transit networks. Transportation 45(1), 23–49 (2018)

    Google Scholar 

  • Fujii, S., Kitamura, R., Kishizawa, K.: Analysis of individuals’ joint-activity engagement using a model system of activity-travel behavior and time use. Transp. Res. Rec. 1676(1), 11–19 (1999)

    Google Scholar 

  • Gan, Z., Feng, T., Yang, M.: Exploring the effects of car ownership and commuting on subjective well-being: a nationwide questionnaire study. Sustainability 11(1), 84 (2019)

    Google Scholar 

  • Geurs, K.T., Van Wee, B.: Accessibility evaluation of land-use and transport strategies: review and research directions. J. Transp. Geogr. 12(2), 127–140 (2004)

    Google Scholar 

  • Gliebe, J.P., Koppelman, F.S.: A model of joint activity participation between household members. Transportation 29(1), 49–72 (2002)

    Google Scholar 

  • Gliebe, J.P., Koppelman, F.S.: Modeling household activity–travel interactions as parallel constrained choices. Transportation 32(5), 449–471 (2005)

    Google Scholar 

  • Golob, T.F.: Structural equation modeling for travel behavior research. Transp. Res. Part B: Methodol. 37(1), 1–25 (2003)

    Google Scholar 

  • Grant, J.: Mixed use in theory and practice: Canadian experience with implementing a planning principle. J. Am. Plan. Assoc. 68(1), 71–84 (2002)

    Google Scholar 

  • Greenhaus, J.H., Collins, K.M., Shaw, J.D.: The relation between work–family balance and quality of life. J. Vocat. Behav. 63(3), 510–531 (2003)

    Google Scholar 

  • Grengs, J.: Job accessibility and the modal mismatch in Detroit. J. Transp. Geogr. 18(1), 42–54 (2010)

    Google Scholar 

  • Hansen, W.G.: How accessibility shapes land use. J. Am. Inst. Plan. 25(2), 73–76 (1959)

    Google Scholar 

  • He, S.Y.: Will you escort your child to school? The effect of spatial and temporal constraints of parental employment. Appl. Geogr. 42, 116–123 (2013)

    Google Scholar 

  • He, S.Y., Giuliano, G.: Factors affecting children’s journeys to school: a joint escort-mode choice model. Transportation 44(1), 199–224 (2017)

    Google Scholar 

  • He, S.Y., Tao, S., Hou, Y., Jiang, W.: Mass Transit Railway, transit-oriented development and spatial justice: the competition for prime residential locations in Hong Kong since the 1980s. Town Plan. Rev. 89(5), 467–493 (2018a)

    Google Scholar 

  • He, S.Y., Cheung, Y.H., Tao, S.: Travel mobility and social participation among older people in a transit metropolis: a socio-spatial-temporal perspective. Transp. Res. Part A: Policy Pract. 118, 608–626 (2018b)

    Google Scholar 

  • He, S.Y., Tao, S., Ng, M.K., Tieben, H.: An assessment of Hong Kong’s spatial planning in new towns from the perspectives of job accessibility, commute and non-commute durations. J. Am. Plan. Assoc. (2020a). https://doi.org/10.1080/01944363.2020.1725602

    Article  Google Scholar 

  • He, S.Y., Wu, D., Chen, H., Hou, Y., Ng, M.K.: New towns and the local agglomeration economy. Habitat Int. 98, 102153 (2020b). https://doi.org/10.1016/j.habitatint.2020.102153

    Article  Google Scholar 

  • Heinze, G., Puhr, R.: Bias-reduced and separation-proof conditional logistic regression with small or sparse data sets. Stat. Med. 29(7–8), 770–777 (2010)

    Google Scholar 

  • Ho, C., Mulley, C.: Intra-household interactions in transport research: a review. Transport Reviews 35(1), 33–55 (2015)

    Google Scholar 

  • Hu, Y., Downs, J.: Measuring and visualizing place-based space-time job accessibility. J. Transp. Geogr. 74, 278–288 (2019)

    Google Scholar 

  • Hu, Y., Wang, F.: Temporal trends of intraurban commuting in Baton Rouge, 1990–2010. Ann. Am. Assoc. Geogr. 106(2), 470–479 (2016)

    Google Scholar 

  • Kato, H., Matsumoto, M.: Intrahousehold interaction analysis between husband, wife, and child using joint time-allocation model. Transp. Res. Rec. 2021(1), 1–9 (2007)

    Google Scholar 

  • Kalliath, T., Brough, P.: Work–life balance: A review of the meaning of the balance construct. J. Manag. Organ. 14(3), 323–327 (2008)

    Google Scholar 

  • Kawabata, M., Shen, Q.: Job accessibility as an indicator of auto-oriented urban structure: a comparison of Boston and Los Angeles with Tokyo. Environ. Plan. B: Plan. Des. 33(1), 115–130 (2006)

    Google Scholar 

  • Knowles, R.D.: Transit oriented development in Copenhagen, Denmark: from the finger plan to Ørestad. J. Transp. Geogr. 22, 251–261 (2012)

    Google Scholar 

  • Lau, J.C.Y.: The influence of suburbanization on the access to employment of workers in the new towns: a case study of Tin Shui Wai, Hong Kong. Habitat Int. 34(1), 38–45 (2010)

    Google Scholar 

  • Lau, J.C.Y.: Spatial mismatch and the affordability of public transport for the poor in Singapore’s new towns. Cities 28(3), 230–237 (2011)

    Google Scholar 

  • Lee, J., Miller, H.J.: Measuring the impacts of new public transit services on space-time accessibility: An analysis of transit system redesign and new bus rapid transit in Columbus, Ohio, USA. Appl. Geogr. 93, 47–63 (2018)

    Google Scholar 

  • Li, S.: HK has longest working week of 71 cities (2016). Retrieved from: https://www.chinadailyasia.com/hknews/2016-05/25/content_15439024.html

  • Lin, T., Wang, D.: Social networks and joint/solo activity–travel behavior. Transp. Res. Part A: Policy Pract. 68, 18–31 (2014)

    Google Scholar 

  • Lorenz, O.: Does commuting matter to subjective well-being? J. Transp. Geogr. 66, 180–199 (2018)

    Google Scholar 

  • Manaugh, K., Miranda-Moreno, L.F., El-Geneidy, A.M.: The effect of neighbourhood characteristics, accessibility, home–work location, and demographics on commuting distances. Transportation 37(4), 627–646 (2010)

    Google Scholar 

  • Merlin, L.A., Hu, L.: Does competition matter in measures of job accessibility? Explaining employment in Los Angeles. J. Transp. Geogr. 64, 77–88 (2017)

    Google Scholar 

  • Mokhtarian, P.L., Chen, C.: TTB or not TTB, that is the question: a review and analysis of the empirical literature on travel time (and money) budgets. Transp. Res. Part A: Policy Pract. 38(9–10), 643–675 (2004)

    Google Scholar 

  • Morris, E.A., Guerra, E.: Mood and mode: does how we travel affect how we feel? Transportation 42(1), 25–43 (2015)

    Google Scholar 

  • Neutens, T., Schwanen, T., Witlox, F., De Maeyer, P.: Equity of urban service delivery: a comparison of different accessibility measures. Environ. Plan. A 42(7), 1613–1635 (2010)

    Google Scholar 

  • Ng, M.K.: Intellectuals and the production of space in the urban renewal process in Hong Kong and Taipei. Plan. Theory Pract. 15(1), 77–92 (2014)

    Google Scholar 

  • Ong, P., Blumenberg, E.: Job access, commute and travel burden among welfare recipients. Urban Stud. 35(1), 77–93 (1998)

    Google Scholar 

  • Ory, D.T., Mokhtarian, P.L., Redmond, L.S., Salomon, I., Collantes, G.O., Choo, S.: When is commuting desirable to the individual? Growth Change 35(3), 334–359 (2004)

    Google Scholar 

  • Sandow, E.: Til work do us part: the social fallacy of long-distance commuting. Urban Stud. 51(3), 526–543 (2014)

    Google Scholar 

  • Schwanen, T., Ettema, D., Timmermans, H.: If you pick up the children, I'll do the groceries: spatial differences in between-partner interactions in out-of-home household activities. Environ. Plan. A 39(11), 2754–2773 (2007)

    Google Scholar 

  • Scott, D.M., Kanaroglou, P.S.: An activity-episode generation model that captures interactions between household heads: development and empirical analysis. Transp. Res. Part B: Methodol. 36(10), 875–896 (2002)

    Google Scholar 

  • Shen, Q.: Location characteristics of inner-city neighborhoods and employment accessibility of low-wage workers. Environ. Plan. B: Plan Des. 25(3), 345–365 (1998)

    Google Scholar 

  • Solberg, E.J., Wong, D.C.: Family time use: Leisure, home production, market work, and work related travel. J. Hum. Resour. 27(3), 485–510 (1992)

    Google Scholar 

  • Srinivasan, S., Bhat, C.R.: A multiple discrete-continuous model for independent-and joint-discretionary-activity participation decisions. Transportation 33(5), 497–515 (2006)

    Google Scholar 

  • Srinivasan, S., & Bhat, C.R.: An exploratory analysis of joint-activity participation characteristics using the American time use survey. Transportation 35(3), 301–327 (2008)

    Google Scholar 

  • Tao, S., He, S.Y., Thøgersen, J.: The role of car ownership in attitudes towards public transport: a comparative study of Guangzhou and Brisbane. Transp. Res. Part F: Traffic Psychol. Behav. 60, 685–699 (2019)

    Google Scholar 

  • Thøgersen, J.: Understanding repetitive travel mode choices in a stable context: a panel study approach. Transp. Res. Part A: Policy Pract. 40(8), 621–638 (2006)

    Google Scholar 

  • Transport Department: Travel Characteristics Survey 2011 Final Report, Hong Kong, Transport Department (2014)

  • Vovsha, P., Petersen, E., Donnelly, R.: Explicit modeling of joint travel by household members: statistical evidence and applied approach. Transp. Res. Rec. 1831(1), 1–10 (2003)

    Google Scholar 

  • Vovsha, P., Petersen, E., Donnelly, R.: Impact of intrahousehold interactions on individual daily activity-travel patterns. Transp. Res. Rec. 1898(1), 87–97 (2004)

    Google Scholar 

  • Wheatley, D.: Good to be home? Time-use and satisfaction levels among home-based teleworkers. New Technol. Work Employ. 27(3), 224–241 (2012)

    Google Scholar 

  • Wheatley, D.: Travel-to-work and subjective well-being: a study of UK dual career households. J. Transp. Geogr. 39, 187–196 (2014)

    Google Scholar 

  • Widener, M.J., Farber, S., Neutens, T., Horner, M.: Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati, Ohio. J. Transp. Geogr. 42, 72–83 (2015)

    Google Scholar 

  • Zhang, J., Kuwano, M., Lee, B., Fujiwara, A.: Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms. Transp. Res. Part B: Methodol. 43(2), 230–250 (2009)

    Google Scholar 

  • Zhao, P.: The determinants of the commuting burden of low-income workers: evidence from Beijing. Environ. Plan. A: Econ. Sp. 47(8), 1736–1755 (2015)

    Google Scholar 

Download references

Acknowledgements

The authors thank the three anonymous reviewers for their constructive comments and advice. This work was supported by the General Research Fund (GRF) of the Hong Kong Research Grants Council (Grants Number: CUHK14602017).

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Correspondence to Sylvia Y. He.

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Appendices

Appendix I: Job accessibility by private vehicle

figure a

Appendix II: Average joint household travel and activity durations: public transport commuters

Home location

N

Ave. commute duration (min)

Ave. working hours

Discretionary

Maintenance

Joint travel

Joint activity

Joint travel

Joint activity

Proportion (%)

Ave. duration (min)

Proportion (%)

Ave. duration (min)

Proportion (%)

Ave. duration (min)

Proportion (%)

Ave. duration (min)

New Town

Tsuen Wan

2823

96.58

9.63

0.81

55.48

0.89

135.80

0.53

40.27

0.32

92.78

Shatin

2750

106.73

9.71

0.76

38.33

0.76

99.05

0.29

20.00

0.25

105.71

Tuen Mun

1212

126.86

9.89

0.83

75.00

0.83

151.50

0.41

33.00

0.25

123.33

Tai Po

795

120.74

9.71

0.75

53.33

0.63

162.00

0.38

70.00

0.38

53.33

Fanling/Sheung Shui

789

128.10

9.70

0.63

56.00

0.76

102.50

0.63

29.00

0.38

111.67

Yuen Long

375

116.04

9.85

0.27

55.00

0.27

150.00

0.00

0.00

0.00

0.00

Tseung Kwan O

1669

90.36

9.86

0.30

33.00

0.30

154.00

0.18

30.00

0.00

0.00

Tin Shui Wai

589

131.12

9.83

0.34

45.00

0.34

180.00

0.68

55.00

0.51

60.00

Tung Chung

319

106.75

9.93

0.31

60.00

0.31

120.00

0.31

60.00

0.31

60.00

Summary

11,321

107.99

9.75

0.65

51.36

0.67

129.14

0.39

37.59

0.26

92.41

Urban Area

HKI

4597

84.91

9.60

0.70

41.41

0.65

130.33

0.52

18.54

0.26

105.42

Kowloon

7171

86.34

9.61

0.45

40.00

0.49

141.80

0.60

28.26

0.30

158.04

Summary

11,768

85.78

9.61

0.54

40.70

0.55

136.51

0.57

24.78

0.31

140.00

Rural

600

103.12

10.12

0.00

0.00

0.17

85.00

0.17

0.00

0.00

0.00

Total

23,689

96.84

9.69

0.58

46.42

0.60

132.20

0.47

29.59

0.27

118.44

Appendix III: Average joint household travel and activity durations: private-vehicle commuters

Home location

N

Ave. commute duration (min)

Ave. working hours

Discretionary

Maintenance

Joint travel

Joint activity

Joint travel

Joint activity

Proportion (%)

Ave. duration (min)

Proportion (%)

Ave. duration (min)

Proportion (%)

Ave. duration (min)

Proportion (%)

Ave. duration (min)

New Town

Tsuen Wan

155

64.23

9.36

3.23

42.00

3.23

81.00

6.45

30.00

2.58

108.75

Shatin

214

72.14

9.48

4.21

42.78

4.67

197.00

5.14

24.64

0.93

7.50

Tuen Mun

129

80.28

10.09

3.10

23.75

3.10

120.00

3.88

47.00

2.33

83.33

Tai Po

129

73.98

9.60

4.65

21.67

4.65

107.50

1.55

35.00

0.78

100.00

Fanling/Sheung Shui

65

84.29

9.79

1.54

60.00

1.54

210.00

3.08

30.00

0.00

0.00

Yuen Long

50

62.08

9.85

0.00

0.00

0.00

0.00

2.00

35.00

0.00

0.00

Tseung Kwan O

90

74.69

9.90

3.33

50.00

3.33

75.00

2.22

35.00

1.11

105.00

Tin Shui Wai

30

74.87

9.71

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

Tung Chung

5

68.00

10.77

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

Summary

867

72.88

9.67

3.23

36.79

3.34

0.00

3.81

31.55

1.27

82.27

Urban Area

HKI

320

63.74

9.59

3.13

63.50

3.13

134.50

4.06

23.85

0.31

255.00

Kowloon

354

61.46

9.24

2.54

38.89

2.54

112.78

1.13

26.25

0.28

100.00

Summary

674

62.55

9.41

2.82

51.84

2.82

124.21

2.52

24.41

0.30

177.50

Rural

258

77.55

10.04

0.78

32.50

0.78

115.00

3.10

33.13

0.00

0.00

Total

1,799

69.68

9.62

2.72

42.45

2.78

130.50

3.22

29.67

0.72

96.92

Appendix IV: Modelling results of probability of joint household travel and activities: private-vehicle commuters

Variable

Coefficient estimates (N = 1799)

Discretionary

Maintenance

Model 1: Joint travel

Model 2: Joint activity

Model 3: Joint travel

Model 4: Joint activity

Age

− 0.014

− 0.009

0.018

0.022

Female

0.401

0.408

0.250

− 0.101

Married

1.121**

1.057*

1.565*

1.306

Public housing estates

0.253

0.213

− 0.631

− 0.160

Household size

0.131

0.106

0.192

− 0.311

Having dependent children

− 0.934**

− 0.796*

0.937**

0.941

Having another elderly

− 1.222

− 1.216

− 0.240

− 0.321

Having a domestic helper

− 0.618*

− 0.670*

0.166

− 0.321

Multiple earners

0.003

− 0.065

− 0.482

− 0.732

Population density (natural log transformed)

− 0.118

− 0.101

− 0.075

0.006

Job accessibility by private vehicle

2.303*

2.153*

− 0.525

− 0.945

Commute duration

− 0.002

− 0.001

− 0.005

− 0.003

Working hours

− 0.127**

− 0.118*

− 0.102*

− 0.251**

Model summary

Wald χ2

24.48**

22.56***

31.37***

12.04

AIC

400.119

408.992

446.826

135.062

BIC

477.049

408.992

523.755

211.992

  1. ***p < 0.01; **p < 0.05; *p < 0.1

Appendix V: SEM modelling results for private-vehicle commuters

figure b

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Tao, S., He, S.Y. Job accessibility and joint household travel: a study of Hong Kong with a particular focus on new town residents. Transportation 48, 1379–1407 (2021). https://doi.org/10.1007/s11116-020-10100-4

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