Research Article
Analysis on Residents’ Travel Activity Pattern in Historic Urban Areas: A Case Study of Historic Urban Area of Yangzhou, China
Table 4
Statistics of explanatory variables for model development.
| | Attributes | Variable | Definition | Frequency (%) |
| | Personal attributes | Gender (GEN) | Male (=1) | 653 (53.5%) | | Female (=0) | 568 (46.5%) | | Occupation (OCC) | Retiree (=1) | 273 (22.4%) | | Student/staff/service (=2) | 599 (49.1%) | | Private (=0) | 349 (28.6%) | | Age (AGE) | <30 (=1) | 579 (47.4%) | | 30–49 (=2) | 118 (9.7%) | | >50 (=0) | 524 (42.9%) |
| | Household attributes | Household population (HP) | <3 (=1) | 397 (32.5%) | | More than 3 (=0) | 824 (67.5%) | | Preschoolers (CH) | Have (=1) | 200 (16.4%) | | Without (=0) | 1021 (83.6%) | | Car ownership (CAR) | Have (=1) | 68 (5.6%) | | Without (=0) | 1153 (94.4%) | Number of conventional
bicycle (BIC) | 0 (=0) | 254 (20.8%) | | 1-2 (=1) | 855 (70%) | | >3 (=2) | 112 (9.2%) | Number of electric
bicycle (EBIC) | 0 (=0) | 498 (40.8%) | | 1-2 (=1) | 698 (57.2%) | | >3 (=2) | 25 (2%) | | Motorcycle ownership (MOT) | Have (=1) | 477 (39.1%) | | Without (=0) | 744 (60.9%) | | Income (INC) | <¥ 10000 (=1) | 190 (15.6%) | | ¥ 10000–50000 (=2) | 900 (73.7%) | | >¥ 50000 (=0) | 131 (10.7%) |
|
|
