scholarly journals Impact of land use on bicycle usage: A big data-based spatial approach to inform transport planning

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Yi Zhao ◽  
Qiaowen Lin ◽  
Shangan Ke ◽  
Yanghang YuYunnan

Bicycling is an alternative of urban transport mode, which is significantly influenced by land use. This paper makes an effort to quantify the magnitude and direction of the impact. We first develop a theoretical framework to establish links between land use and bicycle usage. Then, trip data is crawled from Mobike, one of the largest newly emerging, free-floating bike sharing operators in Shenzhen (China), for a total of more than 7.8 million records over 191 consecutive days. And bicycling frequency, travel duration, and riding distance are obtained to be proxies of bicycle usage. Land-use characteristics regarding bicycling are comprehensively indicated by a set of standardized variables including three dimensions, land-use type, land-use mix, land-use connections, and 12 concrete indices. Panel spatial model is applied to quantify the associations at the district level with socioeconomics controlled. Results show that the percentage of green land has a remarkable impact on bicycle usage outcomes and land-use mix is positively associated with bicycling frequency. Density of intersections contributes to longer trip duration. Bicycle lane is a positive facilitator on workdays, while the number of stations is positively related to bicycle usage, especially frequency and distance. These findings provide insight into land use-transport interaction and could be of value to policymakers, planers and practitioners for transport planning while incorporating bicycling-friendly principles.

Author(s):  
Leila Irajifar ◽  
Neil Sipe ◽  
Tooran Alizadeh

Purpose This paper examines the impact of urban form on disaster resiliency. The literature shows a complex relationship between urban form factors such as density and diversity and disaster recovery. The empirical analysis in this paper tests the impact of land use mix, population density, building type and diversity on the reconstruction progress in three, six and nine months after the 2010 flood in Brisbane and Ipswich as proxies of disaster resilience. Considerable debate exists on whether urban form factors are the causal incentive or are they mediating other non-urban form causal factors such as income level. In view of this, the effects of a series of established non-urban form factors such as income and tenure, already known as effective factors on disaster resilience, are controlled in the analysis. Design/methodology/approach The structure of this paper is based on a two-phase research approach. In the first phase, for identification of hypothetical relationships between urban form and disaster resiliency, information was gathered from different sources on the basis of theory and past research findings. Then in phase two, a database was developed to test these hypothetical relationships, employing statistical techniques (including multivariate regression and correlation analysis) in which disaster recovery was compared among 76 suburbs of Brisbane and Ipswich with differing levels of population density and land use mix. Findings The results indicate that population density is positively related to disaster resilience, even when controlling for contextual variables such as income level and home ownership. The association between population density and disaster reconstruction is non-linear. The progress of reconstruction to population density ratio increases from low, medium to high densities, while in very low and very high density areas the reconstruction progress does not show the same behavior, which suggests that medium-high density is the most resilient. Originality/value The originality of this paper is in extracting hypothetical relationships between urban form and resiliency and testing them with real world data. The results confirmed the contribution of density to recovery process in this case study. This illustrates the importance of attention to disaster resiliency measures from the early stages of design and planning in development of resilient urban communities.


Tunas Agraria ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 184-207
Author(s):  
Febsy Niandyti ◽  
Yendi Sufyandi ◽  
Westi Utami

Abstract: The industry has a great influence on the economy of Semarang Regency by becoming the largest contributor to Gross Regional Domestic Product (GRDP). The rapid industrial development from 2011-2017 has an impact on the decrease of agricultural land area, besides that industrial development has implication on land use mismatch of Spatial Plan. This study describes the results of descriptive qualitative analysis with spatial approach from the impact of industrial development on land use change and land use suitability for industry in 2017 against Spatial Plan. The analysis shows that, first, the impact of industrial development on land use change in Semarang regency in 2011-2017 resulted in the amount of agricultural land decreased by 253,32 Ha. The biggest land use change occurred on industrial land use that is 146,10 Ha (28,84%). Second, the use of land for industry in 2017 of 288,05 Ha has been in accordance with the spatial plan is in accordance with the industrial designation area, while the land with an area of 202,02 Ha is used for industries that are not in accordance with the industrial designation area. Keywords: Land Use Change, The Industry, The Suitability of The Spatial Plans Intisari: Industri telah memberikan pengaruh terhadap perekonomian Kabupaten Semarang dengan menjadi penyumbang terbesar pada Produk Domestik Regional Bruto (PDRB). Pesatnya perkembangan industri dari tahun 2011-2017 berdampak pada penurunan luas tanah pertanian, disamping itu perkembangan industri tersebut berimplikasi pada ketidaksesuaian penggunaan tanah tehadap Rencana Tata Ruang Wilayah (RTRW). Kajian ini menjelaskan mengenai hasil analisis secara deskriptif kualitatif dengan pendekatan keruangan dari dampak pembangunan industri terhadap perubahan penggunaan tanah serta kesesuaian penggunaan tanah untuk industri tahun 2017 terhadap RTRW. Hasil analisis menunjukkan bahwa pertama, dampak pembangunan industri terhadap perubahan penggunaan tanah di Kabupaten Semarang tahun 2011-2017 mengakibatkan jumlah luas tanah pertanian mengalami penurunan sebesar 253,32 Ha. Perubahan penggunaan tanah terbesar terjadi pada penggunaan tanah untuk industri yaitu seluas 146,10 Ha (28,84%). Kedua, penggunaan tanah untuk industri tahun 2017 seluas 288,05 Ha telah sesuai dengan RTRW yaitu sesuai dengan kawasan peruntukan industri, sedangkan tanah dengan luas 202,02 Ha digunakan untuk industri yang tidak sesuai dengan kawasan peruntukan industri. Kata Kunci: perubahan penggunaan tanah, industri, kesesuaian RTRW


2021 ◽  
Vol 79 (3) ◽  
pp. 214-227
Author(s):  
Meike Levin-Keitel ◽  
Irina Kim Reeker

Assuming that mobility behaviour of citizens can be partially influenced by certain spatial structures, the integration of land-use and transport planning seems to be a key aspect of a transition towards sustainable mobility. Such an integrated planning approach is characterised, for example, by increased cross-sectoral interaction, softened institutionalised boundaries between the two sectors of land-use and transport planning as well as cross-sectorally shared goals. However, this often-articulated claim for integration remains unclear in its implementation. Hence, this article presents a conceptual framework within the three dimensions of policy, polity and politics to grasp what integration comprises in its different aspects. The two German cities of Dortmund and Hanover serve as case studies. It appears that informal interaction (politics) between the two sectors acts as a necessary precondition whereas true political will and shared targets (policy) are needed to really initiate the process towards integration. Ultimately, an approach is fully integrated if the institutional design (polity) is adapted in terms of hierarchical coordination and largely removed sectoral boundaries.


Author(s):  
Baichuan Mo ◽  
Yu Shen ◽  
Jinhua Zhao

The paper studies the impacts of built environment (BE) on the first- and last-mile travel modal choice. We select Singapore as a case study. The data used for this work is extracted from the first- and last-mile trips to mass rapid transit (MRT) stations in the Household Interview Travel Survey of Singapore in 2012 with nearly 24,000 samples. The BE indicators are quantified based on four “D” variables: Density, Diversity, Design, and Distance to transit. We also take into account sociodemographic and trip-specific variables. Mixed logit (ML) modeling frameworks are adopted to estimate the impact of BE and the heterogeneity of taste across the sample. Based on the availability of light rail transit (LRT) in different areas, two modeling structures are implemented with binary ML models for non-LRT areas where “walk” and “bus” are the available travel modes, and multinomial ML models for areas where LRT is an additional alternative. The modeling results shed light on the following findings: BE—especially distance to MRT station, transportation infrastructures, land-use mix, and socioeconomic activities—significantly influences the first- and last-mile travel behaviors. Those who live or work close to MRT stations and in an area with high socioeconomic activities and land-use mix may have stronger preferences to walk for the first- and last-mile trips. The impact of physical BE (i.e., distance, infrastructures) is relatively homogeneous among the sample, while the impact of socioeconomic BE factors (i.e., floor space density, entropy) tends to vary across the sample.


2019 ◽  
Vol 136 ◽  
pp. 04015
Author(s):  
Chenyan Zhang ◽  
Huiyu Zhou

Recently, the traditional travel modes and public transportation system in urban areas have undergone some subtle changes under the impact of shared bikes, especially for public bus, which is the most impacted by the shared bikes. Therefore, this paper mainly aims at studying the impact of shared bicycles on the public bus from both competitive and cooperative perspectives. More specifically, this study will explore the coopetition relationship between these two modes from travellers’ behaviour perspective. An SP survey has been conducted on traveller in Beijing and a Multinomial Logit model was adopted to quantitatively analyse the effect of various factors on travellers’ modal choice between bus and shared bikes. In this study, the estimation results show that the travel distance, road infrastructure, and travelers’ psychological factors all suggest a competition between bus and bike sharing. On the contrary, distance between bus transfer stations will also lead to modal cooperation. Finally, some policy implications have been proposed to better facilitate public transports and promote the sustainable development of whole urban transport system.


1998 ◽  
Vol 64 (2) ◽  
pp. 271-282 ◽  
Author(s):  
David S. Palmer ◽  
Sharon A. Borthwick-Duffy ◽  
Keith Widaman

While there has been a recent trend toward inclusive educational placements for students with significant cognitive disabilities, little information exists regarding parent perceptions of such practices. This article reviews the construction and analysis of a scale designed to encourage research in this area. An examination of three dimensions of perceptions assessed by the scale found that parents were more positive regarding the impact of inclusion on mutual social benefits, acceptance, and treatment of their child and more apprehensive regarding the impact of inclusion on the quality of educational services their child receives. Discussion includes how these findings may offer insight into reasoning used by some parents when considering the benefits of more inclusive educational placements for their own children.


2010 ◽  
Vol 3 (1) ◽  
Author(s):  
Marco Te Brommelstroet

This paper assesses the embedding of land use and transport instruments—Planning Support Systems (PSS), models and tools—in Dutch planning practice, in order to shed light on how planning practitioners perceive these instruments and to ascertain the reasons and manner of their (lack of) utilization. These insights provide much-needed input to improve support instruments for integrated land use and transport planning, particularly during early planning phases and on the regional level. The research adds to the emerging literature on PSS. It builds on general insights into bottlenecks that block the use of PSS in practice, and employs a user-oriented approach to gain more insight into how users perceive these bottlenecks and how they relate to specific land use and transport PSS. Much of the existing research geared toward improving these instruments has a technical focus on adjusting the intrinsic workings of the instruments themselves. However, the way in which they are embedded in planning practice has remained largely ignored and poorly understood. Based on data from a web-based survey administered to land use and transport practitioners in the spring of 2007, this paper describes how LUT instruments are embedded in planning practice and how they are perceived by the planning actors in land use and transport planning. The findings suggest that a technical focus is insufficient to improve the implementation of these instruments. The key bottlenecks, identified by the survey, actually are centered on "softer issues," such as lack of transparency and poor connections to the planning process. The closing analysis and discussion offer some potential remedies for these shortcomings.


2021 ◽  
Vol 13 (2) ◽  
pp. 467
Author(s):  
Amila Jayasinghe ◽  
N. B. S. Madusanka ◽  
Chethika Abenayake ◽  
P. K. S. Mahanama

The study proposes a framework to model the three-dimensional relationship among density, land use, and accessibility in urban areas constructively contributing to overcome the limitations noted in the domains of urban planning and transport planning. First, most of the existing studies have focused on the topological characteristics in capturing the accessibility, but a limited attention has been given on measuring the accessibility by considering both topological and roadway characteristics. Second, the existing research studies have acknowledged the relationship among density, land use, and accessibility while a limited attention has been given to develop a modeling framework to capture the three-dimensional relationship. The modelling framework was tested in three urban areas in Sri Lanka. The research first analyzed the three-dimensional link among density, land use, and accessibility in the case studies. Then, the study developed a set of regression models to capture the density from the land use and accesability. The proposed model recorded a satisfactory level of accuracy (i.e., R2 > 0.70) on a par with internationally accepted standards. The relationship was further elaborated through a decision tree analysis and 4D plot diagrams. Findings of the study can be utilized to model the density of a given land use and the correspondent accessibility scenarios. The proposed model is capable of quantifying the impact of the changes in the density correspondent to the accessibility and land use. Therefore, the study concludes that this will be an effective tool for decision-makers in the fields of land-use planning and transport planning for scenario building, impact analysis, and the formulation of land use zoning and urban development plans aiming at the overarching sustainability of future cities.


Author(s):  
Chenxi Lu ◽  
Conghua Wen ◽  
Jing Bie ◽  
Shijian Zhou

We report the experiences of the bike sharing system in Ningbo, China. To analyze the impact of the system, system log data are collected for the whole month of May 2014 (with more than 1.7 million usage records), supplemented by questionnaire data from 1,856 respondents. Our results show that public bike usage follows the same pattern as road traffic, with morning and evening peaks on week days. In terms of mode substitution, 16% of public bike trips would have been made by private cars. In average, each public bike is used 3.7 times per day, with each trip lasting around 23 minutes and covering around 3.5 kilometre. This translates into a reduction of car travel by more than 11 million kilometre per year, a significant contribution to the sustainability of urban transport in Ningbo.


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