Relationship between built environment of rational pedestrian catchment areas and URT commuting ridership: Evidence from 44 URT stations in Beijing
SHEN Lifan1,, WANG Ye2, ZHANG Chun3,, JIANG Dongrui4, LI He5
1.School of Urban Design, Wuhan University, Wuhan 430072, China
2. Guangzhou Planning & Design Survey Research Institute, Guangzhou 510030, China;
3. School of Architecture and Design, Beijing Jiaotong University, Beijing 100044, China
4. Beijing Urban Quadrant Technology Co., Ltd, Beijing 100055, China
5. International Finance Institute, Bank of China, Beijing 100818, China
National Natural Science Foundation of China, No.51678029, No.51778039;
Specific Research of China Urban Rail Transit Association, No.A17M00080;
In recent years, there has been a growing interest in the relationship between built environment factors within station pedestrian catchment areas and urban rail transit (URT) commuting ridership. In this paper, the rational pedestrian catchment areas was studied from the perspective of potential commuters. Based on a case-study of 44 URT stations in Beijing, big data method was adopted to collect point data of population from 'Yichuxing', an internet application. In addition, relative values of relative riding rate were obtained by combining point data and rail transit one-card pass data during peak time within 10 working days in September 2017. In view of the abnormal distribution of data, a GARCH model was established to analyze the interactions between station relative riding rate and built environment factors within rational pedestrian catchment areas. The study results showed that (1) there is a notable positive correlation between URT relative riding rate and initial station, and negative interaction between station relative riding rate and transfer probability of station; (2) there is a strong positive relationship between relative riding rate and exit numbers of station; (3) there are no explicit relationships between conditions of station relative riding rate and walkable factors such as residential-station footpath turn times and cross numbers within rational catchment areas, whereas positive relationship was observed between station relative riding rate and bus stop density within rational pedestrian catchment areas; (4) significant negative correlation can be found between relative riding rate and land use mixture; (5) there are positive correlations among station relative riding rate and density of road network, congested road proportion in morning peak hours in varying degree; (6) there is an ambiguous and intricate relationship between bike-sharing order quantities and URT relative riding rate; (7) compared to cellular signaling data, "Yichuxing" point data showed higher accuracy and applicability in terms of the analysis of demographic distribution and micro-scale changes.
高德地图平台提供了千万级别的兴趣点（Point of Interest, POI）,设置了详细的分类并提供了API接口。在地图表达中,一个兴趣点可用于表示一家商铺、一栋大厦、一个公园等。本文通过python编程,批量获取了研究范围内的公交车站及线路、中小学校、医院、综合商场和购物中心等兴趣点,用于分析轨道站点合理步行范围内交通设施、公共服务设施以及商业设施的集聚程度和供给水平对居民轨道交通通勤行为的影响。
BernickM, CerveroR.Transit Villages in the 21st Century. , 1997.
KimS, UlfarssonG.Travel mode choice of the elderly-effects of personal, household, neighborhood, and trip characteristics. , 2004, 1894: 117-126.
The travel patterns and travel mode choice of the elderly are analyzed. The elderly are here defined as those who are both 65 or older and retired. A rapid increase in the older population and their proportion in society has tremendous implications for transportation planning and the policy arena. Previous studies on mode choice have been largely focused on working-age people, and existing studies on the travel mode choice of the elderly are limited to descriptive analyses. A systematic analysis is presented of the mode choice of the elderly and how it relates to activity purpose. It is found that neighborhood and trip characteristics, as well as personal and household characteristics, are associated with the mode choice of this group. For example, the elderly are more likely to use transit if they live within five blocks of a bus stop, and they are more likely to share a ride with others when chaining trips, doing errands, or going to a medical appointment and are less likely to use transit when going shopping or doing errands. The elderly prefer walking when going on recreational or personal trips. Those with a higher income are more likely to drive or carpool. The results shed light on the mode choice of the elderly and contribute to the development of a transportation policy framework that considers the elderly. The results suggest that transportation strategies must move beyond private automobiles to prepare adequately for the increasing number of the elderly in society and their mobility needs.
ZielstraD, HartwigH.A comparative study of pedestrian accessibility to transit stations using free and proprietary network data. , 2011, 2217: 145-152.
El-GeneidyA, GrimsrudM, WasfiR, et al.New evidence on walking distances to transit stops: Identifying redundancies and gaps using variable service areas. , 2013, 41(1): 193-210.
The percentage of the population being served by a transit system in a metropolitan region is a key system performance measure but depends heavily on the definition of service area. Observing existing service areas can help identify transit system gaps and redundancies. In the public transit industry, buffers at 400 m (0.25 miles) around bus stops and 800 m (0.5 miles) around rail stations are commonly used to identify the area from which most transit users will access the system by foot. This study uses detailed OD survey information to generate service areas that define walking catchment areas around transit services in Montreal, Canada. The 85th percentile walking distance to bus transit service is found to be around 524 m for home-based trip origins, 1,259 m for home-based commuter rail trip origins. Yet these values are found to vary based on our analysis using two statistical models. Walking distances vary based on route and trip qualities (such as type of transit service, transfers and wait time), as well as personal, household, and neighbourhood characteristics. Accordingly, service areas around transit stations should vary based on the service offered and attributes of the people and places served. The generated service areas derived from the generalized statistical model are then used to identify gaps and redundancies at the system and route level using Montreal region as an example. This study can be of benefit to transport engineers and planners trying to maximize transit service coverage in a region while avoiding oversupply of service.
CeveroR, KockelmanK.Travel demand and the 3Ds: Density, diversity, and design. , 1997, 2(3): 199-219.
This paper examines the connection between the 3Ds of the built environment and travel demand. Notably, it tries to sort through the relative influences of the three dimensions after controlling for other explainers, like travellers' demographic characteristics. It does this mainly by applying the technique of factor analysis to gauge the relative influence of each dimension as well as their collective impacts. The paper tests the propositions of the new urbanists and others that compact neighborhoods, mixed land uses, and pedestrian-friendly designs 'degenerate' vehicle trips and encourage residents to walk, bike, or take transit as substitutes for automobile travel, particularly for non-work purposes.
CeveroR.Mixed land-uses and commuting: Evidence from the American housing survey. , 1996, 30(5): 361-377.
This paper investigates how mixed land-uses influence the commuting choices of residents from large metropolitan areas using data from the 1985 American Housing Survey. The analysis examines the effects of mixed-use levels as well as other features of the built environment like residential densities on three measures of transportation demand: commuting mode choice, commuting distance and household vehicle ownership levels. The effects of land-use environments on mode choice are modeled using binomial logit analysis.
CeveroR.Built environments and mode choice: Toward a normative framework. , 2002, 7(4): 265-284.
Compact, mixed-use, and walk-friendly urban development, many contend, can significantly influence the modes people choose to travel. Despite a voluminous empirical literature, most past studies have failed to adequately specify relationships for purposes of drawing inferences about the importance of built-environment factors in shaping mode choice. This paper frames the study of mode choice in Montgomery County, Maryland around a normative model that weighs the influences of not only three core dimensions of built environments – density, diversity, and design – but factors related to generalized cost and socio-economic attributes of travelers as well. The marginal contributions of built-environment factors to a traditionally specified utility-based model of mode choice are measured. The analysis reveals intensities and mixtures of land use significantly influence decisions to drive-alone, share a ride, or patronize transit, while the influences of urban design tend to be more modest. Elasticities that summarize relationships are also presented, and recommendations are offered on how outputs from conventional mode-choice models might be “post-processed” to better account for the impacts of built environments when testing land-use scenarios.
YangJ, FrenchS, HoltJ, et al.Measuring the structure of U.S. metropolitan areas, 1970-2000: Spatial statistical metrics and an application to commuting behavior. , 2012, 78(2): 197-209.
Problem, research strategy, and findings: Metropolitan planning organizations attempt to shape urban form at the regional and metropolitan scale, including the pattern of suburban centers. How do these efforts change behavior? Our study informs that question by way of a new family of urban form metrics summarizing the polycentric structure of U.S. metropolitan areas. Using a spatial statistical approach, these measures are sensitive to the size, amount, and location of suburban centers. The article then tests the influence of these structures on commute times nationally from 1970 to 2000. Takeaway for practice: The influence of development densities on travel in sprawling regions is more complicated than previously understood or measured. While the level of both neighborhood density and regional density explain average commuting times, density also works relatively. The spatial variation of density, the density of suburban centers relative to the region, and the spatial distribution of high-density nodes each appear to play distinct roles in influencing travel. Research support: Centers for Disease Control and Prevention, and Institute for Bioscience and Biomedical Engineering.
ZhaoP.The impact of the built environment on individual workers' commuting behavior in Beijing. , 2013, 7(5): 389-415.
The increasing emission of transport-related pollutants has become a key issue in relation to climate change mitigation and the improvement of air quality in China's cities. This article aims to examine the effects of changes in the built environment on transportation by examining the case of Beijing. Looking at household survey data, the analysis found that individual workers commuting behavior (concerning travel destination, mode choice and travel time) is significantly related to some aspects of the built environment when socioeconomic and demographic characteristics are taken into account. There are obvious differences in the effects of the built environment on commuting across income groups, occupations and industries.
LevinsonD.Accessibility and the journey to work. , 1998, 6(1): 11-21.
This study analyzes the effect of accessibility to jobs and houses at both the home and work ends of trips on commuting duration for respondents to a household travel survey in metropolitan Washington, DC. A model is constructed to estimate the effects of demographics and relative location on the journey to work. Analysis finds that residences in job-rich areas and workplaces in housing-rich areas are associated with shorter commutes. An implication of this study is that, by balancing accessibility, the suburbanization of jobs maintains stability in commuting durations despite rising congestion, increasing trip lengths, and increased work and non-work trip making. .
ZhaoP, LvB, RooG.Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era. , 2011, 19(1): 59-69.
This empirical study examines the impact of the jobs-housing balance on individual commuting time in Beijing in the period of transformation of the Chinese economy and society. The results of the analysis show that the jobs-housing balance has a statistically significant association with a worker’s commuting time when the factors of transport accessibility, population density and worker’s socioeconomic characteristics are controlled. The higher the jobs-housing balance, the shorter the worker’s commuting time. The finding suggests that the jobs-housing balance still has significant implications for commuting time, although the recent market-oriented reforms in housing are changing the jobs-housing balance in the danwei system that prevailed in the socialist era. As the housing markets are imperfect, with strong government intervention in Beijing, the finding implies that the co-location hypothesis – which believes development management would create ‘barriers’ to a jobs-housing balance and increase commuting time – needs to be rethought before it can be generalized and applied to China’s cities. The results of the analysis also show that the workers living in danwei housing still have shorter commuting time. The finding indicates that the housing marketization is likely to induce a local jobs-housing imbalance and thereby increase commuting time. In this sense, a deterioration in the jobs-housing imbalance and increased commuting time in Beijing may owe much to the adoption of market-based housing supply.
KitamuraR, MokhtarianP, LaidetL.A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area. , 1997, 24(2): 125-158.
This study examined the effects of land use and attitudinal characteristics on travel behavior for five diverse San Francisco Bay Area neighborhoods. First, socio-economic and neighborhood characteristics were regressed against number and proportion of trips by various modes. The best models for each measure of travel behavior confirmed that neighborhood characteristics add significant explanatory power when socio-economic differences are controlled for. Specifically, measures of residential density, public transit accessibility, mixed land use, and the presence of sidewalks are significantly associated with trip generation by mode and modal split. Second, 39 attitude statements relating to urban life were factor analyzed into eight factors: pro-environment, pro-transit, suburbanite, automotive mobility, time pressure, urban villager, TCM, and workaholic. Scores on these factors were introduced into the six best models discussed above. The relative contributions of the socio-economic, neighborhood, and attitudinal blocks of variables were assessed. While each block of variables offers some significant explanatory power to the models, the attitudinal variables explained the highest proportion of the variation in the data. The finding that attitudes are more strongly associated with travel than are land use characteristics suggests that land use policies promoting higher densities and mixtures may not alter travel demand materially unless residents' attitudes are also changed.
BoarnetM, SarmientoS.Can land use policy really affect travel behavior?A study of the link between non-work and land use characteristics. , 1998, 35(7): 1155-1169.
Transportation and urban planners are increasingly viewing land-use policy as a way to manage travel demand. Yet the evidence on the link between land use and travel behavior is inconclusive. This paper uses travel diary data for southern California residents to examine the link between land-use patterns at the neighborhood level and non-work trip generation for a sample of individuals. The number of non-work automobile trips that an individual makes in a specified period is modeled as a function of sociodemographic variables and land-use characteristics relative to the person's place of residence. Findings suggest the importance of both controlling for residential location choice and using different levels of geographic detail when studying the link between land use and travel behavior.
GillenD.Effects of parking costs on urban transport modal choice. , 1977, 37: 46-51.
PengZ, DuekerK, StrathmanJ.Residential location, employment location, and commuter responses to parking charges. , 1996, 1556: 109-118.
TitheridegH, HallP.Changing travel to work patterns in South East England. , 2006, 14(1): 60-75.
The Greater South East England region of the UK constitutes a “global mega-city region”. The UK Government’s 2003 Sustainable Communities strategy proposes major new growth centres in South East England at Ashford, Milton Keynes, Stansted, Cambridge and Thames Gateway. These, along with the upgrade of the West Coast Main Line in 2004 and the completion of the Channel Tunnel Rail Link in 2007, could have major impacts on commuting patterns. To understand the effect of these changes on commute distance and mode choice, the relationships between travel-to-work patterns and socio-economic and land-use characteristics are examined. The analysis suggests that the creation of the new growth centres may result in increased car use but is unlikely to result in longer journeys to work.
SungH, ChoiK, LeeS, et al.Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership. , 2014, 36(2): 134-140.
In this study, we employ spatial regression analysis to empirically investigate the impacts of land use, rail service coverage, and rail station accessibility on rail transit ridership in the city of Seoul and the surrounding metropolitan region. Our analyses suggest that a rail transit service coverage boundary of 500m provides the best fit for estimating rail transit ridership levels. With regard to land use, our results confirm that density is positively related to rail transit ridership within a 750m radius of each station. In contrast, land use diversity is not associated with rail transit ridership. We also found that station-level accessibility is as important as land use for explaining rail transit ridership levels. Finally, we conclude that development density and station-level accessibility measures such as the number of station entrances or exits and the number of bus routes at the station are the most important and consistent factors for promoting rail transit ridership.
LamoureuxC, LastrapesW.Heteroskedasticity in stock return data: Volume versus GARCH effects. , 1990, 45(1): 221-229.
This paper provides empirical support for the notion that Autoregressive Conditional Heteroskedasticity (ARCH) in daily stock return data reflects time dependence in the process generating information flow to the market. Daily trading volume, used as a proxy for information arrival time, is shown to have significant explanatory power regarding the variance of daily returns, which is an implication of the assumption that daily returns are subordinated to intraday equilibrium returns. Furthermore, ARCH effects tend to disappear when volume is included in the variance equation.